2018 Bylaw, Courses offered by Computer and Systems Engineering Department
Courses offered by Computer and Systems Engineering Department
Table 60 List of specializations at the Computer and Systems Engineering Department.
| # | Specialization |
| 1 | Computer Hardware |
| 3 | Software Engineering |
| 5 | Computer Networks |
| 7 | Systems and Artificial Intelligence |
| 9 | Graduation Project |
The following abbreviations are the legend for the courses table.
| Lvl | Level | UR | University Requirement | SA | Student Activities | ||
| CH | Credit Hour | FR | Faculty Requirement | MT | Mid-Term Exam | ||
| ECTS | European Credit Transfer System | DR | Discipline Requirement | PE | Practical Exam | ||
| SWL | Student Work Load | PR | Program Requirement | FE | Final Exam | ||
| Lec | Lectures | ||||||
| Tut | Tutorials | ||||||
| Lab | Laboratory | ||||||
| TT | Total |
Table 61 List of MCT courses.
| # | Lvl | Code | Course Title | Credits and SWL | Contact Hours | Classification | Assessment (%) | Prerequisites | ||||||||||||
| CH | ECTS | SWL | Lec | Tut | Lab | TT | UR | FR | DR | PR | SA | MT | PE | FE | ||||||
| 1 | CSE454s | Quantum Communication and Security | 2 | 5 | 125 | 2 | 1 | 1 | 4 | 10 | 20 | 10 | 60 | |||||||
| 1. Computer Hardware | ||||||||||||||||||||
| 1 | 1 | CSE111 | Logic Design | 3 | 5 | 125 | 3 | 1 | 1 | 5 | x | 25 | 20 | 10 | 40 | |||||
| 1 | 1 | CSE111s | Logic Design | 3 | 5 | 125 | 3 | 1 | 1 | 5 | x | 10 | 20 | 10 | 60 | |||||
| 1 | 1 | CSE112 | Computer Organization and Architecture | 4 | 8 | 200 | 3 | 2 | 2 | 7 | x | 15 | 20 | 20 | 40 | ( CSE111 ) AND ( CSE131 ) | ||||
| 1 | 1 | CSE112s | Computer Organization and Architecture | 4 | 8 | 200 | 3 | 2 | 2 | 7 | x | 20 | 20 | 20 | 40 | ( CSE111s ) AND ( CSE131s ) | ||||
| 1 | 2 | CSE211 | Introduction to Embedded Systems | 3 | 5 | 125 | 2 | 2 | 2 | 6 | x | 25 | 20 | 10 | 40 | ( CSE131 ) | ||||
| 1 | 2 | CSE211s | Introduction to Embedded Systems | 3 | 5 | 125 | 2 | 2 | 2 | 6 | x | 10 | 20 | 10 | 60 | ( CSE131s ) | ||||
| 1 | 2 | CSE212 | Computer Organization | 3 | 6 | 150 | 2 | 2 | 0 | 4 | x | 35 | 20 | 0 | 40 | ( CSE111 ) AND ( CSE131 ) | ||||
| 1 | 2 | CSE212s | Computer Organization | 3 | 6 | 150 | 2 | 2 | 0 | 4 | x | 20 | 20 | 0 | 60 | ( CSE111s ) AND ( CSE131s ) | ||||
| 1 | 3 | CSE311 | Computer Architecture | 3 | 5 | 125 | 2 | 2 | 0 | 4 | x | 15 | 25 | 10 | 40 | ( CSE212 ) | ||||
| 1 | 3 | CSE311s | Computer Architecture | 3 | 5 | 125 | 2 | 2 | 0 | 4 | x | 20 | 20 | 0 | 60 | ( CSE212s ) | ||||
| 1 | 3 | CSE312 | Electronic Design Automation | 2 | 4 | 100 | 2 | 1 | 1 | 4 | x | 25 | 20 | 10 | 40 | ( CSE112 OR CSE212) AND CSE111 | ||||
| 1 | 3 | CSE312s | Electronic Design Automation | 2 | 4 | 100 | 2 | 1 | 1 | 4 | x | 10 | 20 | 10 | 60 | ( CSE112s OR CSE212s ) | ||||
| 1 | 3 | CSE313 | Digital Systems Testing and Verification | 2 | 5 | 125 | 2 | 1 | 1 | 4 | x | 15 | 25 | 10 | 40 | ( CSE212 ) | ||||
| 1 | 3 | CSE313s | Digital Systems Testing and Verification | 2 | 5 | 125 | 2 | 1 | 1 | 4 | x | 10 | 20 | 10 | 60 | ( CSE212s ) | ||||
| 1 | 3 | CSE314 | Parallel and Cluster Computing | 2 | 5 | 125 | 2 | 1 | 1 | 4 | x | 15 | 20 | 20 | 40 | ( CSE112 OR CSE212 ) | ||||
| 1 | 3 | CSE314s | Parallel and Cluster Computing | 2 | 5 | 125 | 2 | 1 | 1 | 4 | x | 10 | 20 | 10 | 60 | ( CSE112s OR CSE212s ) | ||||
| 1 | 4 | CSE411 | Real-Time and Embedded Systems Design | 3 | 5 | 125 | 2 | 1 | 1 | 4 | x | 25 | 20 | 10 | 40 | ( CSE211 ) | ||||
| 1 | 4 | CSE411s | Real-Time and Embedded Systems Design | 3 | 5 | 125 | 2 | 1 | 1 | 4 | x | 10 | 20 | 10 | 60 | ( CSE211s ) | ||||
| 1 | 4 | CSE412 | Embedded Operating Systems | 3 | 5 | 125 | 3 | 1 | 1 | 5 | x | 15 | 20 | 20 | 40 | ( CSE411 ) | ||||
| 1 | 4 | CSE412s | Embedded Operating Systems | 3 | 5 | 125 | 3 | 1 | 1 | 5 | x | 20 | 20 | 20 | 40 | ( CSE411s ) | ||||
| 1 | 4 | CSE413 | Real-Time Operating Systems | 2 | 5 | 125 | 2 | 1 | 1 | 4 | x | 15 | 25 | 10 | 40 | ( CSE411 ) | ||||
| 1 | 4 | CSE413s | Real-Time Operating Systems | 2 | 5 | 125 | 2 | 1 | 1 | 4 | x | 10 | 20 | 10 | 60 | ( CSE411s ) | ||||
| 1 | 4 | CSE414 | Digital VLSI Systems | 2 | 5 | 125 | 2 | 1 | 1 | 4 | x | 15 | 25 | 10 | 40 | ( CSE212 ) | ||||
| 1 | 4 | CSE414s | Digital VLSI Systems | 2 | 5 | 125 | 2 | 1 | 1 | 4 | x | 10 | 20 | 10 | 60 | ( CSE212s ) | ||||
| 1 | 4 | CSE415 | Fault Tolerant Computing | 2 | 5 | 125 | 2 | 1 | 1 | 4 | x | 15 | 25 | 10 | 40 | ( CSE212 ) | ||||
| 1 | 4 | CSE415s | Fault Tolerant Computing | 2 | 5 | 125 | 2 | 1 | 1 | 4 | x | 10 | 20 | 10 | 60 | ( CSE212s ) | ||||
| 1 | 4 | CSE416 | Selected Topics in Computer Design | 2 | 5 | 125 | 2 | 1 | 1 | 4 | x | 15 | 25 | 10 | 40 | |||||
| 1 | 4 | CSE416s | Selected Topics in Computer Design | 2 | 5 | 125 | 2 | 1 | 1 | 4 | x | 10 | 20 | 10 | 60 | |||||
| 3. Software Engineering | ||||||||||||||||||||
| 1 | 0 | CSE031 | Computing in Engineering | 2 | 4 | 100 | 2 | 0 | 0 | 2 | x | 30 | 25 | 0 | 40 | |||||
| 1 | 0 | CSE031s | Computing in Engineering | 2 | 4 | 100 | 2 | 0 | 0 | 2 | x | 15 | 25 | 0 | 60 | |||||
| 1 | 1 | CSE131 | Computer Programming | 3 | 6 | 150 | 3 | 0 | 2 | 5 | x | 25 | 20 | 10 | 40 | |||||
| 1 | 1 | CSE131s | Computer Programming | 3 | 6 | 150 | 3 | 0 | 2 | 5 | x | 10 | 20 | 10 | 60 | |||||
| 1 | 2 | CSE231 | Advanced Computer Programming | 3 | 5 | 125 | 2 | 0 | 2 | 4 | x | 25 | 20 | 10 | 40 | ( CSE131 ) | ||||
| 1 | 2 | CSE231s | Advanced Computer Programming | 3 | 5 | 125 | 2 | 0 | 2 | 4 | x | 10 | 20 | 10 | 60 | ( CSE131s ) | ||||
| 1 | 2 | CSE232 | Advanced Software Engineering | 3 | 5 | 125 | 2 | 2 | 0 | 4 | x | 35 | 20 | 0 | 40 | ( CSE334 ) | ||||
| 1 | 2 | CSE232s | Advanced Software Engineering | 3 | 5 | 125 | 2 | 2 | 0 | 4 | x | 40 | 20 | 0 | 40 | ( CSE334s ) | ||||
| 1 | 2 | CSE233 | Agile Software Engineering | 2 | 5 | 125 | 1 | 0 | 4 | 5 | x | 15 | 20 | 20 | 40 | ( CSE232 ) | ||||
| 1 | 2 | CSE233s | Agile Software Engineering | 2 | 5 | 125 | 1 | 0 | 4 | 5 | x | 20 | 20 | 20 | 40 | ( CSE232s ) | ||||
| 1 | 3 | CSE331 | Data Structures and Algorithms | 3 | 5 | 125 | 2 | 2 | 1 | 5 | x | 25 | 20 | 10 | 40 | ( CSE231 ) | ||||
| 1 | 3 | CSE331s | Data Structures and Algorithms | 3 | 5 | 125 | 2 | 2 | 1 | 5 | x | 10 | 20 | 10 | 60 | ( CSE231s ) | ||||
| 1 | 3 | CSE332 | Design and Analysis of Algorithms | 3 | 5 | 125 | 2 | 2 | 1 | 5 | x | 35 | 20 | 0 | 40 | ( CSE331 ) | ||||
| 1 | 3 | CSE332s | Design and Analysis of Algorithms | 3 | 5 | 125 | 2 | 2 | 1 | 5 | x | 10 | 20 | 10 | 60 | ( CSE331s ) | ||||
| 1 | 3 | CSE333 | Database Systems | 3 | 5 | 125 | 2 | 1 | 1 | 4 | x | 25 | 20 | 10 | 40 | ( CSE331 ) | ||||
| 1 | 3 | CSE333s | Database Systems | 3 | 5 | 125 | 2 | 1 | 1 | 4 | x | 10 | 20 | 10 | 60 | ( CSE331s ) | ||||
| 1 | 3 | CSE334 | Software Engineering | 3 | 5 | 125 | 2 | 2 | 0 | 4 | x | 35 | 20 | 0 | 40 | ( CSE131 ) | ||||
| 1 | 3 | CSE334s | Software Engineering | 3 | 5 | 125 | 2 | 2 | 0 | 4 | x | 20 | 20 | 0 | 60 | ( CSE131s ) | ||||
| 1 | 3 | CSE335 | Operating Systems | 3 | 5 | 125 | 2 | 2 | 0 | 4 | x | 35 | 20 | 0 | 40 | ( CSE112 OR CSE212 ) | ||||
| 1 | 3 | CSE335s | Operating Systems | 3 | 5 | 125 | 2 | 2 | 0 | 4 | x | 20 | 20 | 0 | 60 | ( CSE112s OR CSE212s ) | ||||
| 1 | 3 | CSE336 | Software Design Patterns | 2 | 5 | 125 | 2 | 1 | 1 | 4 | x | 25 | 20 | 10 | 40 | ( CSE231 ) | ||||
| 1 | 3 | CSE336s | Software Design Patterns | 2 | 5 | 125 | 2 | 1 | 1 | 4 | x | 10 | 20 | 10 | 60 | ( CSE231s ) | ||||
| 1 | 3 | CSE337 | Software Testing | 2 | 5 | 125 | 2 | 1 | 1 | 4 | x | 15 | 25 | 10 | 40 | ( CSE231 ) | ||||
| 1 | 3 | CSE337s | Software Testing | 2 | 5 | 125 | 2 | 1 | 1 | 4 | x | 10 | 20 | 10 | 60 | ( CSE231s ) | ||||
| 1 | 3 | CSE338 | Software Testing, Validation, and Verification | 3 | 5 | 125 | 2 | 2 | 1 | 5 | x | 15 | 20 | 20 | 40 | ( CSE232 ) | ||||
| 1 | 3 | CSE338s | Software Testing, Validation, and Verification | 3 | 5 | 125 | 2 | 2 | 1 | 5 | x | 20 | 20 | 20 | 40 | ( CSE232s ) | ||||
| 1 | 3 | CSE339 | Software Formal Specifications | 2 | 5 | 125 | 2 | 1 | 1 | 4 | x | 15 | 20 | 20 | 40 | ( CSE334 ) | ||||
| 1 | 3 | CSE339s | Software Formal Specifications | 2 | 5 | 125 | 2 | 1 | 1 | 4 | x | 20 | 20 | 20 | 40 | ( CSE334s ) | ||||
| 1 | 3 | CSE341 | Internet Programming | 3 | 5 | 125 | 2 | 1 | 2 | 5 | x | 15 | 20 | 20 | 40 | ( CSE231 ) | ||||
| 1 | 3 | CSE341s | Internet Programming | 3 | 5 | 125 | 2 | 1 | 2 | 5 | x | 20 | 20 | 20 | 40 | ( CSE231s ) | ||||
| 1 | 3 | CSE342 | Program Analysis | 2 | 5 | 125 | 2 | 1 | 1 | 4 | x | 15 | 20 | 20 | 40 | ( CSE338 ) | ||||
| 1 | 3 | CSE342s | Program Analysis | 2 | 5 | 125 | 2 | 1 | 1 | 4 | x | 20 | 20 | 20 | 40 | ( CSE231s ) | ||||
| 1 | 3 | CSE343 | Software Engineering Process Management | 2 | 5 | 125 | 2 | 1 | 1 | 4 | x | 15 | 20 | 20 | 40 | ( CSE232 ) | ||||
| 1 | 3 | CSE343s | Software Engineering Process Management | 2 | 5 | 125 | 2 | 1 | 1 | 4 | x | 20 | 20 | 20 | 40 | ( CSE232s ) | ||||
| 1 | 3 | CSE344 | Dependability and Reliability of Software Systems | 2 | 5 | 125 | 2 | 1 | 1 | 4 | x | 15 | 20 | 20 | 40 | ( CSE232 ) | ||||
| 1 | 3 | CSE344s | Dependability and Reliability of Software Systems | 2 | 5 | 125 | 2 | 1 | 1 | 4 | x | 20 | 20 | 20 | 40 | ( CSE232s ) | ||||
| 1 | 3 | CSE345 | Business Process Modeling | 2 | 5 | 125 | 2 | 1 | 1 | 4 | x | 15 | 20 | 20 | 40 | ( CSE232 ) | ||||
| 1 | 3 | CSE345s | Business Process Modeling | 2 | 5 | 125 | 2 | 1 | 1 | 4 | x | 20 | 20 | 20 | 40 | ( CSE232s ) | ||||
| 1 | 3 | CSE346 | Advanced Database Systems | 2 | 5 | 125 | 2 | 1 | 1 | 4 | x | 25 | 20 | 10 | 40 | ( CSE333 ) | ||||
| 1 | 3 | CSE346s | Advanced Database Systems | 2 | 5 | 125 | 2 | 1 | 1 | 4 | x | 10 | 20 | 10 | 60 | ( CSE333s ) | ||||
| 1 | 4 | CSE431 | Mobile Programming | 3 | 5 | 125 | 2 | 1 | 2 | 5 | x | 15 | 20 | 20 | 40 | ( CSE341 ) | ||||
| 1 | 4 | CSE431s | Mobile Programming | 3 | 5 | 125 | 2 | 1 | 2 | 5 | x | 20 | 20 | 20 | 40 | ( CSE341s ) | ||||
| 1 | 4 | CSE432 | Automata and Computability | 3 | 5 | 125 | 2 | 2 | 0 | 4 | x | 35 | 20 | 0 | 40 | ( CSE332 ) | ||||
| 1 | 4 | CSE432s | Automata and Computability | 3 | 5 | 125 | 2 | 2 | 0 | 4 | x | 40 | 20 | 0 | 40 | ( CSE332s ) | ||||
| 1 | 4 | CSE433 | Software Performance Evaluation | 3 | 5 | 125 | 3 | 1 | 1 | 5 | x | 15 | 20 | 20 | 40 | ( CSE232 ) | ||||
| 1 | 4 | CSE433s | Software Performance Evaluation | 3 | 5 | 125 | 3 | 1 | 1 | 5 | x | 20 | 20 | 20 | 40 | ( CSE232s ) | ||||
| 1 | 4 | CSE434 | Aspect- and Service-Oriented Software Systems | 3 | 5 | 125 | 3 | 1 | 1 | 5 | x | 15 | 20 | 20 | 40 | ( CSE232 ) | ||||
| 1 | 4 | CSE434s | Aspect- and Service-Oriented Software Systems | 3 | 5 | 125 | 3 | 1 | 1 | 5 | x | 20 | 20 | 20 | 40 | ( CSE232s ) | ||||
| 1 | 4 | CSE435 | Secure Code Development | 3 | 5 | 125 | 3 | 1 | 1 | 5 | x | 15 | 20 | 20 | 40 | ( CSE231 ) AND ( CSE451 ) | ||||
| 1 | 4 | CSE435s | Secure Code Development | 3 | 5 | 125 | 3 | 1 | 1 | 5 | x | 20 | 20 | 20 | 40 | ( CSE231s ) AND ( CSE451s ) | ||||
| 1 | 4 | CSE436 | Software Quality Assurance | 3 | 5 | 125 | 3 | 1 | 1 | 5 | x | 15 | 20 | 20 | 40 | ( CSE232 ) | ||||
| 1 | 4 | CSE436s | Software Quality Assurance | 3 | 5 | 125 | 3 | 1 | 1 | 5 | x | 20 | 20 | 20 | 40 | ( CSE232s ) | ||||
| 1 | 4 | CSE437 | Selected Topics in Software | 2 | 5 | 125 | 2 | 1 | 1 | 4 | x | 15 | 25 | 10 | 40 | |||||
| 1 | 4 | CSE437s | Selected Topics in Software | 2 | 5 | 125 | 2 | 1 | 1 | 4 | x | 10 | 20 | 10 | 60 | |||||
| 1 | 4 | CSE438 | Selected Topics in Software Product Lines | 3 | 5 | 125 | 3 | 1 | 1 | 5 | x | 15 | 20 | 20 | 40 | |||||
| 1 | 4 | CSE438s | Selected Topics in Software Product Lines | 3 | 5 | 125 | 3 | 1 | 1 | 5 | x | 20 | 20 | 20 | 40 | |||||
| 1 | 4 | CSE439 | Design of Compilers | 3 | 5 | 125 | 2 | 2 | 0 | 4 | x | 35 | 20 | 0 | 40 | ( CSE131 ) | ||||
| 1 | 4 | CSE439s | Design of Compilers | 3 | 5 | 125 | 2 | 2 | 0 | 4 | x | 20 | 20 | 0 | 60 | ( CSE131s ) | ||||
| 1 | 4 | CSE441 | Software Project Management | 2 | 4 | 100 | 2 | 1 | 0 | 3 | x | x | 35 | 20 | 0 | 40 | ( CSE334 ) | |||
| 1 | 4 | CSE441s | Software Project Management | 2 | 4 | 100 | 2 | 1 | 0 | 3 | x | x | 20 | 20 | 0 | 60 | ( CSE334s ) | |||
| 5. Computer Networks | ||||||||||||||||||||
| 1 | 3 | CSE351 | Computer Networks | 3 | 5 | 125 | 2 | 2 | 0 | 4 | x | x | 35 | 20 | 0 | 40 | ||||
| 1 | 3 | CSE351s | Computer Networks | 3 | 5 | 125 | 2 | 2 | 0 | 4 | x | x | 20 | 20 | 0 | 60 | (ECE252s) | |||
| 1 | 3 | CSE352 | Parallel and Distributed Systems | 3 | 5 | 125 | 2 | 2 | 0 | 4 | x | 15 | 25 | 10 | 40 | ( CSE351 ) | ||||
| 1 | 3 | CSE352s | Parallel and Distributed Systems | 3 | 5 | 125 | 2 | 2 | 0 | 4 | x | 20 | 20 | 0 | 60 | ( CSE351s ) | ||||
| 1 | 3 | CSE353 | Industrial Networks | 3 | 5 | 125 | 2 | 2 | 1 | 5 | x | x | 15 | 25 | 10 | 40 | ||||
| 1 | 3 | CSE353s | Industrial Networks | 3 | 5 | 125 | 2 | 2 | 1 | 5 | x | x | 10 | 20 | 10 | 60 | ||||
| 1 | 3 | CSE354 | Distributed Computing | 3 | 4 | 100 | 2 | 2 | 1 | 5 | x | 15 | 20 | 20 | 40 | ( CSE231 ) AND ( CSE351 ) | ||||
| 1 | 3 | CSE354s | Distributed Computing | 3 | 4 | 100 | 2 | 2 | 1 | 5 | x | 20 | 20 | 20 | 40 | ( CSE231s ) AND ( CSE351s ) | ||||
| 1 | 3 | CSE355 | Parallel and Distributed Algorithms | 2 | 5 | 125 | 2 | 1 | 1 | 4 | x | 15 | 20 | 20 | 40 | ( CSE332 ) | ||||
| 1 | 3 | CSE355s | Parallel and Distributed Algorithms | 2 | 5 | 125 | 2 | 1 | 1 | 4 | x | 20 | 20 | 20 | 40 | ( CSE332s ) | ||||
| 1 | 3 | CSE356 | Internet of Things | 2 | 5 | 125 | 2 | 1 | 1 | 4 | x | 15 | 20 | 20 | 40 | ( CSE354 ) | ||||
| 1 | 3 | CSE356s | Internet of Things | 2 | 5 | 125 | 2 | 1 | 1 | 4 | x | 20 | 20 | 20 | 40 | ( CSE354s ) | ||||
| 1 | 3 | CSE357 | Networks Operation and Management | 2 | 5 | 125 | 2 | 2 | 0 | 4 | x | 35 | 20 | 0 | 40 | ( CSE351 ) | ||||
| 1 | 3 | CSE357s | Networks Operation and Management | 2 | 5 | 125 | 2 | 1 | 1 | 4 | x | 10 | 20 | 10 | 60 | ( CSE351s ) | ||||
| 1 | 3 | CSE358 | Pervasive Computing and Internet of Things | 2 | 5 | 125 | 2 | 2 | 0 | 4 | x | 15 | 25 | 10 | 40 | ( CSE231 ) | ||||
| 1 | 3 | CSE358s | Pervasive Computing and Internet of Things | 2 | 5 | 125 | 2 | 1 | 1 | 4 | x | 10 | 20 | 10 | 60 | ( CSE231s ) | ||||
| 1 | 4 | CSE451 | Computer and Network Security | 3 | 5 | 125 | 2 | 1 | 1 | 4 | x | 25 | 20 | 10 | 40 | ( CSE351 ) | ||||
| 1 | 4 | CSE451s | Computer and Network Security | 3 | 5 | 125 | 2 | 1 | 1 | 4 | x | 10 | 20 | 10 | 60 | ( CSE351s ) | ||||
| 1 | 4 | CSE452 | Wireless Networks | 2 | 5 | 125 | 2 | 2 | 0 | 4 | x | 15 | 25 | 10 | 40 | ( CSE351 ) | ||||
| 1 | 4 | CSE452s | Wireless Networks | 2 | 5 | 125 | 2 | 1 | 1 | 4 | x | 10 | 20 | 10 | 60 | ( CSE351s ) | ||||
| 1 | 4 | CSE453 | Digital Forensics | 2 | 5 | 125 | 2 | 1 | 1 | 4 | x | 15 | 25 | 10 | 40 | ( CSE451 ) | ||||
| 1 | 4 | CSE453s | Digital Forensics | 2 | 5 | 125 | 2 | 1 | 1 | 4 | x | 10 | 20 | 10 | 60 | ( CSE451s ) | ||||
| 1 | 4 | CSE454 | Quantum Communication and Security | 2 | 5 | 125 | 2 | 2 | 0 | 4 | x | 15 | 25 | 10 | 40 | ( CSE351 ) | ||||
| 1 | 4 | CSE454s | Quantum Communication and Security | 2 | 5 | 125 | 2 | 1 | 1 | 4 | x | 10 | 20 | 10 | 60 | |||||
| 1 | 4 | CSE455 | High-Performance Computing | 2 | 5 | 125 | 2 | 2 | 0 | 4 | x | 35 | 20 | 0 | 40 | ( CSE112 OR CSE212 ) | ||||
| 1 | 4 | CSE455s | High-Performance Computing | 2 | 5 | 125 | 2 | 1 | 1 | 4 | x | 10 | 20 | 10 | 60 | ( CSE112s OR CSE212s ) | ||||
| 1 | 4 | CSE456 | Cloud Computing | 3 | 5 | 125 | 3 | 1 | 1 | 5 | x | 15 | 20 | 20 | 40 | ( CSE354 ) | ||||
| 1 | 4 | CSE456s | Cloud Computing | 3 | 5 | 125 | 3 | 1 | 1 | 5 | x | 20 | 20 | 20 | 40 | ( CSE354s ) | ||||
| 1 | 4 | CSE457 | Mobile and Wireless Networks | 3 | 5 | 125 | 3 | 1 | 1 | 5 | x | 15 | 20 | 20 | 40 | ( CSE351 ) | ||||
| 1 | 4 | CSE457s | Mobile and Wireless Networks | 3 | 5 | 125 | 3 | 1 | 1 | 5 | x | 20 | 20 | 20 | 40 | ( CSE351s ) | ||||
| 1 | 4 | CSE458 | Computer and Network Forensics | 3 | 5 | 125 | 3 | 1 | 1 | 5 | x | 15 | 20 | 20 | 40 | ( CSE451 ) | ||||
| 1 | 4 | CSE458s | Computer and Network Forensics | 3 | 5 | 125 | 3 | 1 | 1 | 5 | x | 20 | 20 | 20 | 40 | ( CSE451s ) | ||||
| 1 | 4 | CSE459 | Selected Topics in Networks and Security | 2 | 5 | 125 | 2 | 2 | 0 | 4 | x | 15 | 25 | 10 | 40 | |||||
| 1 | 4 | CSE459s | Selected Topics in Networks and Security | 2 | 5 | 125 | 2 | 1 | 1 | 4 | x | 10 | 20 | 10 | 60 | |||||
| 1 | 4 | CSE461 | Selected Topics in Distributed & Mobile Computing | 3 | 5 | 125 | 3 | 1 | 1 | 5 | x | 15 | 20 | 20 | 40 | |||||
| 1 | 4 | CSE461s | Selected Topics in Distributed & Mobile Computing | 3 | 5 | 125 | 3 | 1 | 1 | 5 | x | 20 | 20 | 20 | 40 | |||||
| 7. Systems and Artificial Intelligence | ||||||||||||||||||||
| 1 | 2 | CSE271 | System Dynamics and Control Components | 4 | 6 | 150 | 3 | 2 | 1 | 6 | x | 15 | 25 | 10 | 40 | (PHM113) | ||||
| 1 | 2 | CSE271s | System Dynamics and Control Components | 4 | 6 | 150 | 3 | 2 | 1 | 6 | x | 10 | 20 | 10 | 60 | ( PHM113s ) | ||||
| 1 | 3 | CSE371 | Control Engineering | 3 | 5 | 125 | 2 | 1 | 1 | 4 | x | x | 25 | 20 | 10 | 40 | ( ECE251 OR ECE253 ) | |||
| 1 | 3 | CSE371s | Control Engineering | 3 | 5 | 125 | 2 | 1 | 1 | 4 | x | x | 10 | 20 | 10 | 60 | ( ECE251s OR ECE253s ) AND (CSE271s) | |||
| 1 | 3 | CSE372 | Simulation of Engineering Systems | 2 | 5 | 125 | 2 | 1 | 1 | 4 | x | 15 | 25 | 10 | 40 | ( PHM111 ) | ||||
| 1 | 3 | CSE372s | Simulation of Engineering Systems | 2 | 5 | 125 | 2 | 1 | 1 | 4 | x | 10 | 20 | 10 | 60 | ( PHM111s ) | ||||
| 1 | 3 | CSE373 | Digital Control Systems | 2 | 5 | 125 | 2 | 1 | 1 | 4 | x | 15 | 25 | 10 | 40 | ( CSE371 ) | ||||
| 1 | 3 | CSE373s | Digital Control Systems | 2 | 5 | 125 | 2 | 1 | 1 | 4 | x | 10 | 20 | 10 | 60 | ( CSE371s ) | ||||
| 1 | 3 | CSE374 | Digital Image Processing | 2 | 5 | 125 | 2 | 1 | 1 | 4 | x | 25 | 20 | 10 | 40 | ( ECE251 ) | ||||
| 1 | 3 | CSE374s | Digital Image Processing | 2 | 5 | 125 | 2 | 1 | 1 | 4 | x | 10 | 20 | 10 | 60 | ( ECE251s ) | ||||
| 1 | 3 | CSE375 | Machine Learning and Pattern Recognition | 2 | 5 | 125 | 2 | 1 | 1 | 4 | x | 15 | 25 | 10 | 40 | ( PHM111 ) AND ( CSE131 ) | ||||
| 1 | 3 | CSE375s | Machine Learning and Pattern Recognition | 2 | 5 | 125 | 2 | 1 | 1 | 4 | x | 10 | 20 | 10 | 60 | ( PHM111s ) AND ( CSE131s ) | ||||
| 1 | 3 | CSE376 | Digital Signals Processing | 2 | 125 | 5 | 2 | 1 | 1 | 4 | x | 15 | 25 | 10 | 40 | ( ECE251 ) | ||||
| 1 | 3 | CSE376s | Digital Signals Processing | 2 | 125 | 5 | 2 | 1 | 1 | 4 | x | 10 | 20 | 10 | 60 | ( ECE251s ) | ||||
| 1 | 3 | CSE377 | Pattern Recognition | 2 | 5 | 125 | 2 | 1 | 1 | 4 | x | 15 | 20 | 20 | 40 | ( ECE251 ) | ||||
| 1 | 3 | CSE377s | Pattern Recognition | 2 | 5 | 125 | 2 | 1 | 1 | 4 | x | 20 | 20 | 20 | 40 | ( ECE251s ) | ||||
| 1 | 3 | CSE378 | Computer Graphics | 2 | 5 | 125 | 2 | 1 | 1 | 4 | x | 15 | 20 | 20 | 40 | ( PHM013 ) AND ( CSE231 ) | ||||
| 1 | 3 | CSE378s | Computer Graphics | 2 | 5 | 125 | 2 | 1 | 1 | 4 | x | 20 | 20 | 20 | 40 | ( PHM013s ) AND ( CSE231s ) | ||||
| 1 | 3 | CSE379 | Human Computer Interaction | 2 | 5 | 125 | 2 | 1 | 1 | 4 | x | 15 | 20 | 20 | 40 | ( CSE232 ) | ||||
| 1 | 3 | CSE379s | Human Computer Interaction | 2 | 5 | 125 | 2 | 1 | 1 | 4 | x | 20 | 20 | 20 | 40 | ( CSE232s ) | ||||
| 1 | 3 | CSE381 | Introduction to Machine Learning | 2 | 5 | 125 | 2 | 1 | 1 | 4 | x | 35 | 20 | 0 | 40 | ( PHM111 ) AND ( CSE131 ) | ||||
| 1 | 3 | CSE381s | Introduction to Machine Learning | 2 | 5 | 125 | 2 | 1 | 1 | 4 | x | 20 | 20 | 20 | 40 | ( PHM111s ) AND ( CSE131s ) | ||||
| 1 | 3 | CSE382 | Data Mining and Business Intelligence | 2 | 5 | 125 | 2 | 1 | 1 | 4 | x | 15 | 20 | 20 | 40 | ( PHM111 ) AND ( CSE333 ) | ||||
| 1 | 3 | CSE382s | Data Mining and Business Intelligence | 2 | 5 | 125 | 2 | 1 | 1 | 4 | x | 20 | 20 | 20 | 40 | ( PHM111s ) AND ( CSE333s ) | ||||
| 1 | 4 | CSE471 | Robotic Systems | 2 | 5 | 125 | 2 | 1 | 1 | 4 | x | 15 | 25 | 10 | 40 | ( CSE271 ) | ||||
| 1 | 4 | CSE471s | Robotic Systems | 2 | 5 | 125 | 2 | 1 | 1 | 4 | x | 10 | 20 | 10 | 60 | ( CSE271s ) | ||||
| 1 | 4 | CSE472 | Artificial Intelligence | 3 | 5 | 125 | 2 | 2 | 0 | 4 | x | 35 | 20 | 0 | 40 | ( PHM211 ) AND ( CSE131 ) | ||||
| 1 | 4 | CSE472s | Artificial Intelligence | 3 | 5 | 125 | 2 | 2 | 0 | 4 | x | 20 | 20 | 0 | 60 | ( PHM211s ) AND ( CSE131s ) | ||||
| 1 | 4 | CSE473 | Computational Intelligence | 2 | 5 | 125 | 2 | 1 | 1 | 4 | x | 30 | 25 | 0 | 40 | ( PHM111 ) AND ( CSE131 ) | ||||
| 1 | 4 | CSE473s | Computational Intelligence | 2 | 5 | 125 | 2 | 1 | 1 | 4 | x | 10 | 20 | 10 | 60 | ( PHM111s ) AND ( CSE131s ) | ||||
| 1 | 4 | CSE474 | Visualization | 3 | 5 | 125 | 3 | 1 | 1 | 5 | x | 15 | 20 | 20 | 40 | ( CSE378 ) | ||||
| 1 | 4 | CSE474s | Visualization | 3 | 5 | 125 | 3 | 1 | 1 | 5 | x | 20 | 20 | 20 | 40 | ( CSE378s ) | ||||
| 1 | 4 | CSE475 | Biomedical Engineering | 2 | 5 | 125 | 2 | 1 | 1 | 4 | x | 15 | 25 | 10 | 40 | ( PHM111 ) AND ( CSE131 ) | ||||
| 1 | 4 | CSE475s | Biomedical Engineering | 2 | 5 | 125 | 2 | 1 | 1 | 4 | x | 10 | 20 | 10 | 60 | ( PHM111s ) AND ( CSE131s ) | ||||
| 1 | 4 | CSE476 | Fundamentals of Big-Data Analytics | 2 | 5 | 125 | 2 | 1 | 1 | 4 | x | 15 | 25 | 10 | 40 | ( PHM111 ) AND ( CSE131 ) | ||||
| 1 | 4 | CSE476s | Fundamentals of Big-Data Analytics | 2 | 5 | 125 | 2 | 1 | 1 | 4 | x | 10 | 20 | 10 | 60 | ( PHM111s ) AND ( CSE131s ) | ||||
| 1 | 4 | CSE477 | Fundamentals of Deep Learning | 2 | 5 | 125 | 2 | 1 | 1 | 4 | x | 15 | 25 | 10 | 40 | ( CSE131 ) AND (PHM111) | ||||
| 1 | 4 | CSE477s | Fundamentals of Deep Learning | 2 | 5 | 125 | 2 | 1 | 1 | 4 | x | 10 | 20 | 10 | 60 | ( CSE131s ) AND ( PHM111s ) | ||||
| 1 | 4 | CSE478 | Selected Topics in Systems & Artificial Intelligence | 2 | 5 | 125 | 2 | 1 | 1 | 4 | x | 15 | 25 | 10 | 40 | |||||
| 1 | 4 | CSE478s | Selected Topics in Systems & Artificial Intelligence | 2 | 5 | 125 | 2 | 1 | 1 | 4 | x | 10 | 20 | 10 | 60 | |||||
| 1 | 4 | CSE479 | Multimedia Engineering | 3 | 5 | 125 | 3 | 1 | 1 | 5 | x | 15 | 20 | 20 | 40 | ( CSE374 ) | ||||
| 1 | 4 | CSE479s | Multimedia Engineering | 3 | 5 | 125 | 3 | 1 | 1 | 5 | x | 20 | 20 | 20 | 40 | ( CSE374s ) | ||||
| 1 | 4 | CSE480 | Machine Vision | 3 | 5 | 125 | 3 | 1 | 1 | 5 | x | 15 | 25 | 10 | 40 | ( PHM111 ) AND ( CSE131 ) | ||||
| 1 | 4 | CSE480s | Machine Vision | 3 | 5 | 125 | 3 | 1 | 1 | 5 | x | 20 | 20 | 20 | 40 | ( PHM111s ) AND ( CSE131s ) | ||||
| 1 | 4 | CSE481 | Computer Animation | 3 | 5 | 125 | 3 | 1 | 1 | 5 | x | 15 | 20 | 20 | 40 | ( CSE378 ) | ||||
| 1 | 4 | CSE481s | Computer Animation | 3 | 5 | 125 | 3 | 1 | 1 | 5 | x | 20 | 20 | 20 | 40 | ( CSE378s ) | ||||
| 1 | 4 | CSE482 | Game Design and Development | 3 | 5 | 125 | 3 | 1 | 1 | 5 | x | 15 | 20 | 20 | 40 | ( CSE378 ) | ||||
| 1 | 4 | CSE482s | Game Design and Development | 3 | 5 | 125 | 3 | 1 | 1 | 5 | x | 20 | 20 | 20 | 40 | ( CSE378s ) | ||||
| 1 | 4 | CSE483 | Computer Vision | 3 | 5 | 125 | 3 | 1 | 1 | 5 | x | 35 | 20 | 0 | 40 | ( ECE251 ) | ||||
| 1 | 4 | CSE483s | Computer Vision | 3 | 5 | 125 | 3 | 1 | 1 | 5 | x | 20 | 20 | 20 | 40 | ( ECE251s ) | ||||
| 1 | 4 | CSE484 | Big-Data Analytics | 3 | 5 | 125 | 3 | 1 | 1 | 5 | x | 15 | 20 | 20 | 40 | (PHM111) AND (CSE131) | ||||
| 1 | 4 | CSE484s | Big-Data Analytics | 3 | 5 | 125 | 3 | 1 | 1 | 5 | x | 20 | 20 | 20 | 40 | ( PHM111s ) AND ( CSE131s ) | ||||
| 1 | 4 | CSE485 | Deep Learning | 3 | 5 | 125 | 3 | 1 | 1 | 5 | x | 35 | 20 | 0 | 40 | ( CSE381 ) | ||||
| 1 | 4 | CSE485s | Deep Learning | 3 | 5 | 125 | 3 | 1 | 1 | 5 | x | 20 | 20 | 20 | 40 | ( CSE381s ) | ||||
| 1 | 4 | CSE486 | Bioinformatics | 3 | 5 | 125 | 3 | 1 | 1 | 5 | x | 15 | 20 | 20 | 40 | ( CSE333 ) | ||||
| 1 | 4 | CSE486s | Bioinformatics | 3 | 5 | 125 | 3 | 1 | 1 | 5 | x | 20 | 20 | 20 | 40 | ( CSE333s ) | ||||
| 1 | 4 | CSE487 | Selected Topics in Multimedia & Computer Graphics | 3 | 5 | 125 | 3 | 1 | 1 | 5 | x | 15 | 20 | 20 | 40 | |||||
| 1 | 4 | CSE487s | Selected Topics in Multimedia & Computer Graphics | 3 | 5 | 125 | 3 | 1 | 1 | 5 | x | 20 | 20 | 20 | 40 | |||||
| 1 | 4 | CSE488 | Ontologies and the Semantic Web | 3 | 5 | 125 | 3 | 1 | 1 | 5 | x | 15 | 20 | 20 | 40 | ( CSE472 ) | ||||
| 1 | 4 | CSE488s | Ontologies and the Semantic Web | 3 | 5 | 125 | 3 | 1 | 1 | 5 | x | 20 | 20 | 20 | 40 | ( CSE472s ) | ||||
| 1 | 4 | CSE489 | Selected Topics in Data Science | 3 | 5 | 125 | 3 | 1 | 1 | 5 | x | 15 | 20 | 20 | 40 | |||||
| 1 | 4 | CSE489s | Selected Topics in Data Science | 3 | 5 | 125 | 3 | 1 | 1 | 5 | x | 20 | 20 | 20 | 40 | |||||
| 9. Graduation Projects | ||||||||||||||||||||
| 1 | 4 | CSE491 | Computer & Systems Engineering Graduation Project (1) | 3 | 7 | 175 | 0 | 0 | 5 | 5 | x | 60 | 0 | 40 | 0 | |||||
| 1 | 4 | CSE491s | Computer & Systems Engineering Graduation Project (1) | 3 | 7 | 175 | 0 | 0 | 5 | 5 | x | 40 | 0 | 60 | 0 | |||||
| 1 | 4 | CSE492 | Computer & Systems Engineering Graduation Project (2) | 3 | 7 | 175 | 0 | 0 | 5 | 5 | x | 60 | 0 | 40 | 0 | ( CSE491 ) | ||||
| 1 | 4 | CSE492s | Computer & Systems Engineering Graduation Project (2) | 3 | 7 | 175 | 0 | 0 | 5 | 5 | x | 40 | 0 | 60 | 0 | ( CSE491s ) | ||||
| CSE454s | Quantum Communication and Security | 2 CH | |||||||||
| Prerequisites | |||||||||||
| Number of weekly Contact Hours | |||||||||||
| Lecture | Tutorial | Laboratory | |||||||||
| 2 Hours | 1 Hour | 1 Hour | |||||||||
| Required SWL | 125 | Equivalent ECTS | 5 | ||||||||
| Course Content | |||||||||||
| Quantum Computing, QUBITS, Postulates of Quantum Mechanics, Quantum Information, No Cloning, Quantum Algorithms: Basic algorithms, period finding, Quantum FT, Quantum Communication, Quantum Key Distribution, Quantum Secure Communication, Quantum Attacks, Post-Quantum Cryptography, Implementation Issues | |||||||||||
| Assessment Criteria | |||||||||||
| Student Activities | Mid-Term Exam | Oral/Practical | Final Exam | ||||||||
| 10% | 20% | 10% | 60% | ||||||||
| CSE111 | Logic Design | 3 CH | |||||||||
| Prerequisites | |||||||||||
| Number of weekly Contact Hours | |||||||||||
| Lecture | Tutorial | Laboratory | |||||||||
| 3 Hours | 1 Hour | 1 Hour | |||||||||
| Required SWL | 125 | Equivalent ECTS | 5 | ||||||||
| Course Content | |||||||||||
| Review on number systems: positional notation, binary number systems, number base conversion, octal and hexadecimal, negative numbers, and coded number systems. Switching functions: main operators, postulates and theorems, analysis and synthesis of switching functions, incompletely specified functions. Design using NAND and NOR gates. Storage devices:1-bit storage, set-reset FF, clocked SR FF, positive and negative-edge triggered SR-FF, JK-FF, race-around condition, master-slave JK-FF, D-FF, T-FF, excitation table. Sequential circuits: state table and transition diagram, design of digital sequential systems, incompletely specified states, counters, shift registers. Miscellaneous topics: adders, subtractors, decoders, coders, multiplexer/demultiplexer, memories (ROM, PLA, RAM). | |||||||||||
| Used in Program / Level | |||||||||||
| Program Name or requirement | Study Level | Semester | |||||||||
| Computer Engineering and Software Systems |
2 | 3 | |||||||||
| Communication Systems Engineering |
2 | 5 | |||||||||
| Mechatronics Engineering and Automation |
3 | 5 | |||||||||
| Assessment Criteria | |||||||||||
| Student Activities | Mid-Term Exam | Oral/Practical | Final Exam | ||||||||
| 25% | 20% | 10% | 40% | ||||||||
| CSE111s | Logic Design | 3 CH | |||||||||
| Prerequisites | |||||||||||
| Number of weekly Contact Hours | |||||||||||
| Lecture | Tutorial | Laboratory | |||||||||
| 3 Hours | 1 Hour | 1 Hour | |||||||||
| Required SWL | 125 | Equivalent ECTS | 5 | ||||||||
| Course Content | |||||||||||
| Review on number systems: positional notation, binary number systems, number base conversion, octal and hexadecimal, negative numbers, and coded number systems. Switching functions: main operators, postulates and theorems, analysis and synthesis of switching functions, incompletely specified functions. Design using NAND and NOR gates. Storage devices:1-bit storage, set-reset FF, clocked SR FF, positive and negative-edge triggered SR-FF, JK-FF, race-around condition, master-slave JK-FF, D-FF, T-FF, excitation table. Sequential circuits: state table and transition diagram, design of digital sequential systems, incompletely specified states, counters, shift registers. Miscellaneous topics: adders, subtractors, decoders, coders, multiplexer/demultiplexer. | |||||||||||
| Used in Program / Level | |||||||||||
| Program Name or requirement | Study Level | Semester | |||||||||
| Mechatronics Engineering |
3 | 5 | |||||||||
| Computer and Systems Engineering |
3 | 5 | |||||||||
| Electronics and Communications Engineering |
3 | 5 | |||||||||
| General Electrical Engineering |
|||||||||||
| General Electrical Engineering |
3 | 5 | |||||||||
| Electrical Power and Machines Engineering |
3 | 5 | |||||||||
| Assessment Criteria | |||||||||||
| Student Activities | Mid-Term Exam | Oral/Practical | Final Exam | ||||||||
| 10% | 20% | 10% | 60% | ||||||||
| CSE112 | Computer Organization and Architecture | 4 CH | |||||||||
| Prerequisites | ( CSE111 ) AND ( CSE131 ) | ||||||||||
| Number of weekly Contact Hours | |||||||||||
| Lecture | Tutorial | Laboratory | |||||||||
| 3 Hours | 2 Hours | 2 Hours | |||||||||
| Required SWL | 200 | Equivalent ECTS | 8 | ||||||||
| Course Content | |||||||||||
| Structure and behaviour of digital computers at several levels of abstraction. The five classic components of a computer. Moore's law. Measuring and defining performance: the CPU performance equation, Amdahl's law, MIPS, MOPS, and MFLOPS metrics, measuring performance using SPEC. The power wall. The switch from uniprocessors to multiprocessors. Instruction set architecture: operations, operands, registers, memory organization, data transfer instructions, small constant or immediate operands, logical (bitwise) instructions, instruction formats, decision making instructions, addressing in branches and jumps, supporting procedures, strings, addressing modes, instruction set styles, CISC and RISC architectures. Construction of arrays of logic elements, arithmetic and logic units, control units, register files. CPU organization: implementation of the different instruction types, data and control paths, control units. Memory hierarchy: cache memory and virtual memory. Bussing and I/O subsystems: disk and flash storage, designing an I/O system, interfacing I/O devices. | |||||||||||
| Used in Program / Level | |||||||||||
| Program Name or requirement | Study Level | Semester | |||||||||
| Computer Engineering and Software Systems |
1 | 4 | |||||||||
| Assessment Criteria | |||||||||||
| Student Activities | Mid-Term Exam | Oral/Practical | Final Exam | ||||||||
| 15% | 20% | 20% | 40% | ||||||||
| CSE112s | Computer Organization and Architecture | 4 CH | |||||||||
| Prerequisites | ( CSE111s ) AND ( CSE131s ) | ||||||||||
| Number of weekly Contact Hours | |||||||||||
| Lecture | Tutorial | Laboratory | |||||||||
| 3 Hours | 2 Hours | 2 Hours | |||||||||
| Required SWL | 200 | Equivalent ECTS | 8 | ||||||||
| Course Content | |||||||||||
| Structure and behaviour of digital computers at several levels of abstraction. The five classic components of a computer. Moore's law. Measuring and defining performance: the CPU performance equation, Amdahl's law, MIPS, MOPS, and MFLOPS metrics, measuring performance using SPEC. The power wall. The switch from uniprocessors to multiprocessors. Instruction set architecture: operations, operands, registers, memory organization, data transfer instructions, small constant or immediate operands, logical (bitwise) instructions, instruction formats, decision making instructions, addressing in branches and jumps, supporting procedures, strings, addressing modes, instruction set styles, CISC and RISC architectures. Construction of arrays of logic elements, arithmetic and logic units, control units, register files. CPU organization: implementation of the different instruction types, data and control paths, control units. Memory hierarchy: cache memory and virtual memory. Bussing and I/O subsystems: disk and flash storage, designing an I/O system, interfacing I/O devices. | |||||||||||
| Assessment Criteria | |||||||||||
| Student Activities | Mid-Term Exam | Oral/Practical | Final Exam | ||||||||
| 20% | 20% | 20% | 40% | ||||||||
| CSE211 | Introduction to Embedded Systems | 3 CH | |||||||||
| Prerequisites | ( CSE131 ) | ||||||||||
| Number of weekly Contact Hours | |||||||||||
| Lecture | Tutorial | Laboratory | |||||||||
| 2 Hours | 2 Hours | 2 Hours | |||||||||
| Required SWL | 125 | Equivalent ECTS | 5 | ||||||||
| Course Content | |||||||||||
| Introduction: the importance of microcontrollers, the roles and functions of microcontrollers. Acquaintance with microcontrollers and their simulators and debuggers. Understanding different addressing modes. Programming, debugging, and simulating assembly language programs. Developing a prototype for an embedded system. Interrupts and serial I/O. Memory Expansion. Microcontroller interfaces. Interfacing techniques. Interfacing requirements. A typical microcontroller system is utilized in this course with typical software-based applications. Interfacing with USB, I2C, SPI, CAN, LIN | |||||||||||
| Used in Program / Level | |||||||||||
| Program Name or requirement | Study Level | Semester | |||||||||
| Computer Engineering and Software Systems |
4 | 7 | |||||||||
| Communication Systems Engineering |
3 | ||||||||||
| Mechatronics Engineering and Automation |
4 | 7 | |||||||||
| Assessment Criteria | |||||||||||
| Student Activities | Mid-Term Exam | Oral/Practical | Final Exam | ||||||||
| 25% | 20% | 10% | 40% | ||||||||
| CSE211s | Introduction to Embedded Systems | 3 CH | |||||||||
| Prerequisites | ( CSE131s ) | ||||||||||
| Number of weekly Contact Hours | |||||||||||
| Lecture | Tutorial | Laboratory | |||||||||
| 2 Hours | 2 Hours | 2 Hours | |||||||||
| Required SWL | 125 | Equivalent ECTS | 5 | ||||||||
| Course Content | |||||||||||
| Introduction: the importance of microcontrollers, the roles and functions of microcontrollers. Acquaintance with microcontrollers and their simulators and debuggers. Understanding different addressing modes. Programming, debugging, and simulating assembly language programs. Developing a prototype for an embedded system. Interrupts and serial I/O. Memory Expansion. Microcontroller interfaces. Interfacing techniques. Interfacing requirements. A typical microcontroller system is utilized in this course with typical software-based applications. Interfacing with USB, I2C, SPI, CAN, LIN | |||||||||||
| Used in Program / Level | |||||||||||
| Program Name or requirement | Study Level | Semester | |||||||||
| General Electrical Engineering |
2 | ||||||||||
| Electrical Power and Machines Engineering |
2 | 5 | |||||||||
| Assessment Criteria | |||||||||||
| Student Activities | Mid-Term Exam | Oral/Practical | Final Exam | ||||||||
| 10% | 20% | 10% | 60% | ||||||||
| CSE212 | Computer Organization | 3 CH | |||||||||
| Prerequisites | ( CSE111 ) AND ( CSE131 ) | ||||||||||
| Number of weekly Contact Hours | |||||||||||
| Lecture | Tutorial | Laboratory | |||||||||
| 2 Hours | 2 Hours | 0 Hours | |||||||||
| Required SWL | 150 | Equivalent ECTS | 6 | ||||||||
| Course Content | |||||||||||
| Structure and behaviour of digital computers at several levels of abstraction. Functional organization of computer hardware. The five classic components of a computer. Moore's law. Measuring and defining performance: the CPU performance equation, Amdahl's law in computing, MIPS, FLOPS, MOPS, and MFLOPS metrics, measuring performance using benchmarks, measuring performance using SPEC, reporting performance, summarizing and comparing performance. The power wall. The switch from uniprocessors to multiprocessors. Instruction set architecture: operations, operands, registers, memory organization, data transfer instructions, small constant or immediate operands, logical bitwise) instructions, instruction formats, decision making instructions, program translation hierarchy, addressing in branches and jumps, supporting procedures, strings, addressing modes, instruction set styles, CISC and RISC architectures. Construction of arrays of logic elements, arithmetic logic units, control units, register files. CPU organization: implementation of the different instruction types, data and control paths, control units, different organizations with their advantages and inefficiencies. | |||||||||||
| Used in Program / Level | |||||||||||
| Program Name or requirement | Study Level | Semester | |||||||||
| Communication Systems Engineering |
2 | 6 | |||||||||
| Assessment Criteria | |||||||||||
| Student Activities | Mid-Term Exam | Oral/Practical | Final Exam | ||||||||
| 35% | 20% | 0% | 40% | ||||||||
| CSE212s | Computer Organization | 3 CH | |||||||||
| Prerequisites | ( CSE111s ) AND ( CSE131s ) | ||||||||||
| Number of weekly Contact Hours | |||||||||||
| Lecture | Tutorial | Laboratory | |||||||||
| 2 Hours | 2 Hours | 0 Hours | |||||||||
| Required SWL | 150 | Equivalent ECTS | 6 | ||||||||
| Course Content | |||||||||||
| Structure and behavior of computers at several levels of abstraction. Functional organization of hardware. The five classic components of a computer. Construction of arrays of logic elements, Arithmetic Logic Units (ALUs), Register files. CISC and RISC architectures. Instruction Set Architecture (ISA): Operations, Operands, Registers, Memory organization, Data transfer instructions, Small constant or immediate operands, Logical (bitwise) instructions, Instruction formats, Decision making instructions, Program translation hierarchy, Addressing in branches and jumps, Supporting procedures, Strings, Addressing modes, Instruction set styles. CPU organization: Implementation of the different instruction types, Data and control paths, Control units, Different organizations with their advantages and inefficiencies. Measuring and defining performance: CPU performance equation, Amdahl's law in computing, MIPS, FLOPS. Moore's law. The power wall. The switch from uniprocessors to multiprocessors. Measuring performance using benchmarks: Measuring performance using SPEC, Reporting performance. | |||||||||||
| Used in Program / Level | |||||||||||
| Program Name or requirement | Study Level | Semester | |||||||||
| Computer and Systems Engineering |
3 | 5 | |||||||||
| Electronics and Communications Engineering |
3 | 5 | |||||||||
| Assessment Criteria | |||||||||||
| Student Activities | Mid-Term Exam | Oral/Practical | Final Exam | ||||||||
| 20% | 20% | 0% | 60% | ||||||||
| CSE311 | Computer Architecture | 3 CH | |||||||||
| Prerequisites | ( CSE212 ) | ||||||||||
| Number of weekly Contact Hours | |||||||||||
| Lecture | Tutorial | Laboratory | |||||||||
| 2 Hours | 2 Hours | 0 Hours | |||||||||
| Required SWL | 125 | Equivalent ECTS | 5 | ||||||||
| Course Content | |||||||||||
| Definition and terms of computer architectures: instruction sets, basic data types, and addressing modes. Memory hierarchy: cache basics, cache system performance, virtual memory. Conventional architectures, pipelined processors, superscalar processors, VLIW processors, parallel array (systolic) processors, reconfigurable parallel array processors, and associative processors. Massively parallel processors, shared memory multiprocessors, clusters and other message-passing multiprocessors, and hardware multithreading. I/O systems organization, I/O processors, I/O channels, and I/O support for multiprocessors. Disk modelling, disk cache buffers, concurrent disks, clusters of independent disks, disk arrays, and redundancy in disk arrays. Bussing and I/O subsystems: disk and flash storage, designing an I/O system, interfacing I/O devices to processors, memory, and operating systems. | |||||||||||
| Assessment Criteria | |||||||||||
| Student Activities | Mid-Term Exam | Oral/Practical | Final Exam | ||||||||
| 15% | 25% | 10% | 40% | ||||||||
| CSE311s | Computer Architecture | 3 CH | |||||||||
| Prerequisites | ( CSE212s ) | ||||||||||
| Number of weekly Contact Hours | |||||||||||
| Lecture | Tutorial | Laboratory | |||||||||
| 2 Hours | 2 Hours | 0 Hours | |||||||||
| Required SWL | 125 | Equivalent ECTS | 5 | ||||||||
| Course Content | |||||||||||
| Definition and terms of computer architectures: instruction sets, basic data types, and addressing modes. Memory hierarchy: cache basics, cache system performance, virtual memory. Conventional architectures, pipelined processors, superscalar processors, VLIW processors, parallel array (systolic) processors, reconfigurable parallel array processors, and associative processors. Massively parallel processors, shared memory multiprocessors, clusters and other message-passing multiprocessors, and hardware multithreading. I/O systems organization, I/O processors, I/O channels, and I/O support for multiprocessors. Disk modelling, disk cache buffers, concurrent disks, clusters of independent disks, disk arrays, and redundancy in disk arrays. Bussing and I/O subsystems: disk and flash storage, designing an I/O system, interfacing I/O devices to processors, memory, and operating systems. | |||||||||||
| Used in Program / Level | |||||||||||
| Program Name or requirement | Study Level | Semester | |||||||||
| Computer and Systems Engineering |
4 | 7 | |||||||||
| Assessment Criteria | |||||||||||
| Student Activities | Mid-Term Exam | Oral/Practical | Final Exam | ||||||||
| 20% | 20% | 0% | 60% | ||||||||
| CSE312 | Electronic Design Automation | 2 CH | |||||||||
| Prerequisites | ( CSE112 OR CSE212) AND CSE111 | ||||||||||
| Number of weekly Contact Hours | |||||||||||
| Lecture | Tutorial | Laboratory | |||||||||
| 2 Hours | 1 Hour | 1 Hour | |||||||||
| Required SWL | 100 | Equivalent ECTS | 4 | ||||||||
| Course Content | |||||||||||
| Electronic Design Automation (EDA) : This course starts with introduction about electronic design automation, then it gives and overview about Semiconductor as the main driver for EDA industry & technologies. It demonstrates how the evolution of today’s IC-Chips complexity and size implies a huge requirements change on the EDA technologies and capabilities. The course starts with an overview about EDA tools, then illustrates the ASIC Flow from system level design to RTL description using HDL, RTL Verification, Synthesis logic optimization, netlist creation and design for testability (DFT/ATPGA). Then it provides some insights about backend design steps covering floor planning, place & route and finally physical verification such as design rule check (DRC), Layout vs Schematic (LVS) and mask data generation. The course gives deep insights about VHDL as a basic hardware description language for digital designs creation. Then the course demonstrates Functional Verification techniques such as simulation-based verification concepts (Test Stimulus Generation, Coverage Drive Verification, Assertion Based Verification), HW assisted Verification. The course then moves to Logic Synthesis Step covering Synthesis Inputs, Synthesis Logic Optimization Techniques, Gate Level Netlist Creation as well as Design for Testability. Backend design steps such as Floor Planning, Place & Route and Physical Verification is Briefly Described to Complete ASIC Flow. This course demonstrates some SW Algorithms that are Heavily used in EDA flows. | |||||||||||
| Used in Program / Level | |||||||||||
| Program Name or requirement | Study Level | Semester | |||||||||
| Computer Engineering and Software Systems |
3 | 5 | |||||||||
| Assessment Criteria | |||||||||||
| Student Activities | Mid-Term Exam | Oral/Practical | Final Exam | ||||||||
| 25% | 20% | 10% | 40% | ||||||||
| CSE312s | Electronic Design Automation | 2 CH | |||||||||
| Prerequisites | ( CSE112s OR CSE212s ) | ||||||||||
| Number of weekly Contact Hours | |||||||||||
| Lecture | Tutorial | Laboratory | |||||||||
| 2 Hours | 1 Hour | 1 Hour | |||||||||
| Required SWL | 100 | Equivalent ECTS | 4 | ||||||||
| Course Content | |||||||||||
| Overview of electronic design automation (EDA): VLSI design and typical EDA flows, IC technology. Sequential design. HDL languages (VHDL/Verilog). Functional verification, Logic simulation: models, techniques, hardware acceleration. Logic synthesis: ASIC synthesis, combinational logic minimization, technology mapping, timing analysis, timing optimization. Design for testability: fault models, fault collapsing, fault-simulation, test generation, manufacturing tests, testability analysis, scan design, built-in self-test, test comparison. Physical synthesis, Floor-planning and placement: simulated annealing and analytical approaches. Routing: general-purpose, global, and detailed routing, clock and power/ground synthesis. Chip integration. | |||||||||||
| Used in Program / Level | |||||||||||
| Program Name or requirement | Study Level | Semester | |||||||||
| Computer and Systems Engineering |
3 | ||||||||||
| Assessment Criteria | |||||||||||
| Student Activities | Mid-Term Exam | Oral/Practical | Final Exam | ||||||||
| 10% | 20% | 10% | 60% | ||||||||
| CSE313 | Digital Systems Testing and Verification | 2 CH | |||||||||
| Prerequisites | ( CSE212 ) | ||||||||||
| Number of weekly Contact Hours | |||||||||||
| Lecture | Tutorial | Laboratory | |||||||||
| 2 Hours | 1 Hour | 1 Hour | |||||||||
| Required SWL | 125 | Equivalent ECTS | 5 | ||||||||
| Course Content | |||||||||||
| Cost and complexity of logic testing. Testing at different levels of abstraction. Faults, physical fault modelling, stuck-at fault models, single fault models, undetectable (masked) faults, fault equivalence/collapsing. Testability measures: controllability and observability. Combinational and sequential functional test. Exhaustive test. Sensitized path test. Test coverage evaluation. Test pattern generation, fault simulation. Design for Testability (DFT), Ad-hoc DFT. Scan design. Built-in Self-Test (BIST), linear feedback shift register (LFSR), Data compaction using LFSR, Pseudo Random Number Generation (PRNG). Boundary Scan/Joint Test Access Group (JTAG). Current test. | |||||||||||
| Assessment Criteria | |||||||||||
| Student Activities | Mid-Term Exam | Oral/Practical | Final Exam | ||||||||
| 15% | 25% | 10% | 40% | ||||||||
| CSE313s | Digital Systems Testing and Verification | 2 CH | |||||||||
| Prerequisites | ( CSE212s ) | ||||||||||
| Number of weekly Contact Hours | |||||||||||
| Lecture | Tutorial | Laboratory | |||||||||
| 2 Hours | 1 Hour | 1 Hour | |||||||||
| Required SWL | 125 | Equivalent ECTS | 5 | ||||||||
| Course Content | |||||||||||
| VLSI design flow: Specifications, Architectural design (scheduling, binding/allocation), RTL design, Verification, Logic synthesis, Physical layout (floor planning, placement and routing). Verification concepts: What to verify (functional verification, timing verification, performance verification), How to verify (simulation, emulation, formal verification, semi-formal verification, HW/SW coverification). Directed testing. Random testing. System Verilog: Data types, Arrays, Queuesm building score boards, User defined types, Tasks and functions, Time variables. Testbench design: Interfaces, Modports, Clocking blocks, Timing problems, Race conditions, Program blocks, Case study, Randomization, Constraints, Constrained random testing. Assertions: Immediate assertions, Concurrent assertions. Coverage: Code coverage, Functional coverage, Bug rate, Assertion coverage, Cover groups, Coverage bins, Sampling expressions, Cross coverage. UVM: UVM tests, UVM components, UVM environments, UVM transactions, UVM agents, UVM sequences, Verification career. | |||||||||||
| Assessment Criteria | |||||||||||
| Student Activities | Mid-Term Exam | Oral/Practical | Final Exam | ||||||||
| 10% | 20% | 10% | 60% | ||||||||
| CSE314 | Parallel and Cluster Computing | 2 CH | |||||||||
| Prerequisites | ( CSE112 OR CSE212 ) | ||||||||||
| Number of weekly Contact Hours | |||||||||||
| Lecture | Tutorial | Laboratory | |||||||||
| 2 Hours | 1 Hour | 1 Hour | |||||||||
| Required SWL | 125 | Equivalent ECTS | 5 | ||||||||
| Course Content | |||||||||||
| Importance of parallel and cluster computing. Instruction Level Parallelism (ILP). Parallel computer architecture. Parallel Random-Access Machines (PRAM). Cluster computing and grid computing. Sequential and parallel execution. Synchronization. Principles of pipeline and vector processing. Overview of massively parallel and cluster computers, SIMD and MIMD machines. Network topology and interconnection networks. Routing (e-cube, hyper-switch, wormhole, virtual channels) and flow control. Dependability and scalability. Shared memory and cache coherence. Design of systolic array-based systems: dependence graph, system timing, projection and scheduling, data broadcasting, slicing, and pipelining. Load balancing. Performance of parallel and cluster computing systems. General overview of the architecture of the GPUs and the programming models of parallel and cluster computing environments. Applications. | |||||||||||
| Used in Program / Level | |||||||||||
| Program Name or requirement | Study Level | Semester | |||||||||
| Computer Engineering and Software Systems |
3 | ||||||||||
| Assessment Criteria | |||||||||||
| Student Activities | Mid-Term Exam | Oral/Practical | Final Exam | ||||||||
| 15% | 20% | 20% | 40% | ||||||||
| CSE314s | Parallel and Cluster Computing | 2 CH | |||||||||
| Prerequisites | ( CSE112s OR CSE212s ) | ||||||||||
| Number of weekly Contact Hours | |||||||||||
| Lecture | Tutorial | Laboratory | |||||||||
| 2 Hours | 1 Hour | 1 Hour | |||||||||
| Required SWL | 125 | Equivalent ECTS | 5 | ||||||||
| Course Content | |||||||||||
| Importance of parallel and cluster computing. Instruction Level Parallelism (ILP). Parallel computer architecture. Parallel Random-Access Machines (PRAM). Cluster computing and grid computing. Sequential and parallel execution. Synchronization. Principles of pipeline and vector processing. Overview of massively parallel and cluster computers, SIMD and MIMD machines. Network topology and interconnection networks. Routing (e-cube, hyper-switch, wormhole, virtual channels) and flow control. Dependability and scalability. Shared memory and cache coherence. Design of systolic array-based systems: dependence graph, system timing, projection and scheduling, data broadcasting, slicing, and pipelining. Load balancing. Performance of parallel and cluster computing systems. General overview of the architecture of the GPUs and the programming models of parallel and cluster computing environments. Applications. | |||||||||||
| Used in Program / Level | |||||||||||
| Program Name or requirement | Study Level | Semester | |||||||||
| Computer and Systems Engineering |
4 | ||||||||||
| Assessment Criteria | |||||||||||
| Student Activities | Mid-Term Exam | Oral/Practical | Final Exam | ||||||||
| 10% | 20% | 10% | 60% | ||||||||
| CSE411 | Real-Time and Embedded Systems Design | 3 CH | |||||||||
| Prerequisites | ( CSE211 ) | ||||||||||
| Number of weekly Contact Hours | |||||||||||
| Lecture | Tutorial | Laboratory | |||||||||
| 2 Hours | 1 Hour | 1 Hour | |||||||||
| Required SWL | 125 | Equivalent ECTS | 5 | ||||||||
| Course Content | |||||||||||
| Introduction: real-time system types, characteristics, and applications. Tasks, scheduling algorithms, and schedulability. Real-time system analysis. Real-time operating systems: shared resources management, concurrency, synchronization, real-time memory management. Developing embedded software, Memory maps and boot kernels, firmware, and ROM-resident system code. Timeline analysis and design. Design of embedded systems using real-time hardware and software components. Communicating, linking, interfacing, and processing techniques for embedded systems. Programming models: disciplines, methods, development. Machine instruction format and instruction timing. Interface between OS, ISA, and RTL layers of the virtual machine model. Interrupts, privilege states, and exception handling. Hardware interfacing and device driver programming. Algorithm analysis of embedded programs. Debugging live systems. Main challenges in the design, implementation, and validation of embedded systems. Secure coding practices. Code compression. Resource access protocols. | |||||||||||
| Used in Program / Level | |||||||||||
| Program Name or requirement | Study Level | Semester | |||||||||
| Computer Engineering and Software Systems |
3 | 8 | |||||||||
| Mechatronics Engineering and Automation |
3 | 8 | |||||||||
| Assessment Criteria | |||||||||||
| Student Activities | Mid-Term Exam | Oral/Practical | Final Exam | ||||||||
| 25% | 20% | 10% | 40% | ||||||||
| CSE411s | Real-Time and Embedded Systems Design | 3 CH | |||||||||
| Prerequisites | ( CSE211s ) | ||||||||||
| Number of weekly Contact Hours | |||||||||||
| Lecture | Tutorial | Laboratory | |||||||||
| 2 Hours | 1 Hour | 1 Hour | |||||||||
| Required SWL | 125 | Equivalent ECTS | 5 | ||||||||
| Course Content | |||||||||||
| Introduction: real-time system types, characteristics, and applications. Tasks, scheduling algorithms, and schedulability. Real-time system analysis. Real-time operating systems: shared resources management, concurrency, synchronization, real-time memory management. Developing embedded software, Memory maps and boot kernels, firmware, and ROM-resident system code. Timeline analysis and design. Design of embedded systems using real-time hardware and software components. Communicating, linking, interfacing, and processing techniques for embedded systems. Programming models: disciplines, methods, development. Machine instruction format and instruction timing. Interface between OS, ISA, and RTL layers of the virtual machine model. Interrupts, privilege states, and exception handling. Hardware interfacing and device driver programming. Algorithm analysis of embedded programs. Debugging live systems. Main challenges in the design, implementation, and validation of embedded systems. Secure coding practices. Code compression. Resource access protocols. | |||||||||||
| Used in Program / Level | |||||||||||
| Program Name or requirement | Study Level | Semester | |||||||||
| Computer and Systems Engineering |
5 | 9 | |||||||||
| Assessment Criteria | |||||||||||
| Student Activities | Mid-Term Exam | Oral/Practical | Final Exam | ||||||||
| 10% | 20% | 10% | 60% | ||||||||
| CSE412 | Embedded Operating Systems | 3 CH | |||||||||
| Prerequisites | ( CSE411 ) | ||||||||||
| Number of weekly Contact Hours | |||||||||||
| Lecture | Tutorial | Laboratory | |||||||||
| 3 Hours | 1 Hour | 1 Hour | |||||||||
| Required SWL | 125 | Equivalent ECTS | 5 | ||||||||
| Course Content | |||||||||||
| Introduction to embedded Linux. Architecture of embedded Linux: Linux kernel architecture, user space, start-up sequence. Board support: insertion in kernel build procedure, the boot loader interface, memory map, interrupt management, the PCI subsystem, timers, UART, power management. Embedded storage: flash map. MTD architecture, the flash-mapping drivers, MTD block and character devices, embedded file systems, optimizing storage space, tuning kernel memory. Embedded drivers: Linux serial driver, Ethernet driver, I2C subsystem on Linux, USB gadgets, watchdog timer, kernel modules. Porting applications: application porting roadmap, programming with P-threads, operating system porting layer (OSPL), kernel API driver. Real-Time Linux: real-time programming in Linux, hard real-Time Linux. | |||||||||||
| Used in Program / Level | |||||||||||
| Program Name or requirement | Study Level | Semester | |||||||||
| Computer Engineering and Software Systems |
5 | 9 | |||||||||
| Assessment Criteria | |||||||||||
| Student Activities | Mid-Term Exam | Oral/Practical | Final Exam | ||||||||
| 15% | 20% | 20% | 40% | ||||||||
| CSE412s | Embedded Operating Systems | 3 CH | |||||||||
| Prerequisites | ( CSE411s ) | ||||||||||
| Number of weekly Contact Hours | |||||||||||
| Lecture | Tutorial | Laboratory | |||||||||
| 3 Hours | 1 Hour | 1 Hour | |||||||||
| Required SWL | 125 | Equivalent ECTS | 5 | ||||||||
| Course Content | |||||||||||
| Introduction to embedded Linux. Architecture of embedded Linux: Linux kernel architecture, user space, start-up sequence. Board support: insertion in kernel build procedure, the boot loader interface, memory map, interrupt management, the PCI subsystem, timers, UART, power management. Embedded storage: flash map. MTD architecture, the flash-mapping drivers, MTD block and character devices, embedded file systems, optimizing storage space, tuning kernel memory. Embedded drivers: Linux serial driver, Ethernet driver, I2C subsystem on Linux, USB gadgets, watchdog timer, kernel modules. Porting applications: application porting roadmap, programming with P-threads, operating system porting layer (OSPL), kernel API driver. Real-Time Linux: real-time programming in Linux, hard real-Time Linux. Building and Introduction to embedded Linux. Architecture of embedded Linux: Linux kernel architecture, user space, start-up sequence. Board support: insertion in kernel build procedure, the boot loader interface, memory map, interrupt management, the PCI subsystem, timers, UART, power management. Embedded storage: flash map. MTD architecture, the flash-mapping drivers, MTD block and character devices, embedded file systems, optimizing storage space, tuning kernel memory. Embedded drivers: Linux serial driver, Ethernet driver, I2C subsystem on Linux, USB gadgets, watchdog timer, kernel modules. Porting applications: application porting roadmap, programming with P-threads, operating system porting layer (OSPL), kernel API driver. Real-Time Linux: real-time programming in Linux, hard real-Time Linux. Building and | |||||||||||
| Assessment Criteria | |||||||||||
| Student Activities | Mid-Term Exam | Oral/Practical | Final Exam | ||||||||
| 20% | 20% | 20% | 40% | ||||||||
| CSE413 | Real-Time Operating Systems | 2 CH | |||||||||
| Prerequisites | ( CSE411 ) | ||||||||||
| Number of weekly Contact Hours | |||||||||||
| Lecture | Tutorial | Laboratory | |||||||||
| 2 Hours | 1 Hour | 1 Hour | |||||||||
| Required SWL | 125 | Equivalent ECTS | 5 | ||||||||
| Course Content | |||||||||||
| Introduction to embedded Linux. Architecture of embedded Linux: Linux kernel architecture, user space, start-up sequence. Board support: insertion in kernel build procedure, the boot loader interface, memory map, interrupt management, the PCI subsystem, timers, UART, power management. Embedded storage: flash map. MTD architecture, the flash-mapping drivers, MTD block and character devices, embedded file systems, optimizing storage space, tuning kernel memory. Embedded drivers: Linux serial driver, Ethernet driver, I2C subsystem on Linux, USB gadgets, watchdog timer, kernel modules. Porting applications: application porting roadmap, programming with P-threads, operating system porting layer (OSPL), kernel API driver. Real-Time Linux: real-time programming in Linux, hard real-Time Linux. Building and Introduction to embedded Linux. Architecture of embedded Linux: Linux kernel architecture, user space, start-up sequence. Board support: insertion in kernel build procedure, the boot loader interface, memory map, interrupt management, the PCI subsystem, timers, UART, power management. Embedded storage: flash map. MTD architecture, the flash-mapping drivers, MTD block and character devices, embedded file systems, optimizing storage space, tuning kernel memory. Embedded drivers: Linux serial driver, Ethernet driver, I2C subsystem on Linux, USB gadgets, watchdog timer, kernel modules. Porting applications: application porting roadmap, programming with P-threads, operating system porting layer (OSPL), kernel API driver. Real-Time Linux: real-time programming in Linux, hard real-Time Linux. | |||||||||||
| Assessment Criteria | |||||||||||
| Student Activities | Mid-Term Exam | Oral/Practical | Final Exam | ||||||||
| 15% | 25% | 10% | 40% | ||||||||
| CSE413s | Real-Time Operating Systems | 2 CH | |||||||||
| Prerequisites | ( CSE411s ) | ||||||||||
| Number of weekly Contact Hours | |||||||||||
| Lecture | Tutorial | Laboratory | |||||||||
| 2 Hours | 1 Hour | 1 Hour | |||||||||
| Required SWL | 125 | Equivalent ECTS | 5 | ||||||||
| Course Content | |||||||||||
| Introduction to embedded Linux. Architecture of embedded Linux: Linux kernel architecture, user space, start-up sequence. Board support: insertion in kernel build procedure, the boot loader interface, memory map, interrupt management, the PCI subsystem, timers, UART, power management. Embedded storage: flash map. MTD architecture, the flash-mapping drivers, MTD block and character devices, embedded file systems, optimizing storage space, tuning kernel memory. Embedded drivers: Linux serial driver, Ethernet driver, I2C subsystem on Linux, USB gadgets, watchdog timer, kernel modules. Porting applications: application porting roadmap, programming with P-threads, operating system porting layer (OSPL), kernel API driver. Real-Time Linux: real-time programming in Linux, hard real-Time Linux. Building and Introduction to embedded Linux. Architecture of embedded Linux: Linux kernel architecture, user space, start-up sequence. Board support: insertion in kernel build procedure, the boot loader interface, memory map, interrupt management, the PCI subsystem, timers, UART, power management. Embedded storage: flash map. MTD architecture, the flash-mapping drivers, MTD block and character devices, embedded file systems, optimizing storage space, tuning kernel memory. Embedded drivers: Linux serial driver, Ethernet driver, I2C subsystem on Linux, USB gadgets, watchdog timer, kernel modules. Porting applications: application porting roadmap, programming with P-threads, operating system porting layer (OSPL), kernel API driver. Real-Time Linux: real-time programming in Linux, hard real-Time Linux. | |||||||||||
| Used in Program / Level | |||||||||||
| Program Name or requirement | Study Level | Semester | |||||||||
| Computer and Systems Engineering |
4 | ||||||||||
| Assessment Criteria | |||||||||||
| Student Activities | Mid-Term Exam | Oral/Practical | Final Exam | ||||||||
| 10% | 20% | 10% | 60% | ||||||||
| CSE414 | Digital VLSI Systems | 2 CH | |||||||||
| Prerequisites | ( CSE212 ) | ||||||||||
| Number of weekly Contact Hours | |||||||||||
| Lecture | Tutorial | Laboratory | |||||||||
| 2 Hours | 1 Hour | 1 Hour | |||||||||
| Required SWL | 125 | Equivalent ECTS | 5 | ||||||||
| Course Content | |||||||||||
| Introduction to VLSI technology. CMOS Technology. VLSI Design Techniques, Transistors, wires and vias, layout design, SPICE simulation static complementary gates, switch logic, delay and timing, standard cell based layout, fan-out, Path delay, delay modelling, power analysis, latches and flip-flop layout, clock disciplines, clock skew, ROM, Static RAM, Dynamic RAM, Flash memory, FPGA, Floor planning, power distribution, clock distribution, Hardware description language, Digital Circuit simulation, and synthesis using hardware description languages. Digital Circuit testing, Formal verification. | |||||||||||
| Assessment Criteria | |||||||||||
| Student Activities | Mid-Term Exam | Oral/Practical | Final Exam | ||||||||
| 15% | 25% | 10% | 40% | ||||||||
| CSE414s | Digital VLSI Systems | 2 CH | |||||||||
| Prerequisites | ( CSE212s ) | ||||||||||
| Number of weekly Contact Hours | |||||||||||
| Lecture | Tutorial | Laboratory | |||||||||
| 2 Hours | 1 Hour | 1 Hour | |||||||||
| Required SWL | 125 | Equivalent ECTS | 5 | ||||||||
| Course Content | |||||||||||
| Introduction to VLSI technology. CMOS Technology. VLSI Design Techniques, Transistors, wires and vias, layout design, SPICE simulation static complementary gates, switch logic, delay and timing, standard cell based layout, fan-out, Path delay, delay modelling, power analysis, latches and flip-flop layout, clock disciplines, clock skew, ROM, Static RAM, Dynamic RAM, Flash memory, FPGA, Floor planning, power distribution, clock distribution, Hardware description language, Digital Circuit simulation, and synthesis using hardware description languages. Digital Circuit testing, Formal verification. | |||||||||||
| Used in Program / Level | |||||||||||
| Program Name or requirement | Study Level | Semester | |||||||||
| Computer and Systems Engineering |
4 | ||||||||||
| Assessment Criteria | |||||||||||
| Student Activities | Mid-Term Exam | Oral/Practical | Final Exam | ||||||||
| 10% | 20% | 10% | 60% | ||||||||
| CSE415 | Fault Tolerant Computing | 2 CH | |||||||||
| Prerequisites | ( CSE212 ) | ||||||||||
| Number of weekly Contact Hours | |||||||||||
| Lecture | Tutorial | Laboratory | |||||||||
| 2 Hours | 1 Hour | 1 Hour | |||||||||
| Required SWL | 125 | Equivalent ECTS | 5 | ||||||||
| Course Content | |||||||||||
| Origins, goals, and applications of fault-tolerant computing. Defining faults, errors, and failures. Causes, characteristics, and models of faults. Logical and physical stuck-fault models. Design philosophies to combat faults. Error models. Design techniques to achieve fault tolerance: the concept of redundancy, hardware redundancy, information redundancy, time redundancy, and software redundancy. Evaluation techniques: quantitative methods, reliability, safety, availability, and maintainability modelling, system comparisons, and redundancy ratios. The design of practical fault-tolerant systems: the design process, the use of fault avoidance in the design process, long-life applications, critical-computation applications, and high-availability applications. Fault-tolerant design of VLSI circuits and systems. | |||||||||||
| Assessment Criteria | |||||||||||
| Student Activities | Mid-Term Exam | Oral/Practical | Final Exam | ||||||||
| 15% | 25% | 10% | 40% | ||||||||
| CSE415s | Fault Tolerant Computing | 2 CH | |||||||||
| Prerequisites | ( CSE212s ) | ||||||||||
| Number of weekly Contact Hours | |||||||||||
| Lecture | Tutorial | Laboratory | |||||||||
| 2 Hours | 1 Hour | 1 Hour | |||||||||
| Required SWL | 125 | Equivalent ECTS | 5 | ||||||||
| Course Content | |||||||||||
| Origins, goals, and applications of fault-tolerant computing. Defining faults, errors, and failures. Causes, characteristics, and models of faults. Logical and physical stuck-fault models. Design philosophies to combat faults. Error models. Design techniques to achieve fault tolerance: the concept of redundancy, hardware redundancy, information redundancy, time redundancy, and software redundancy. Evaluation techniques: quantitative methods, reliability, safety, availability, and maintainability modelling, system comparisons, and redundancy ratios. The design of practical fault-tolerant systems: the design process, the use of fault avoidance in the design process, long-life applications, critical-computation applications, and high-availability applications. Fault-tolerant design of VLSI circuits and systems. | |||||||||||
| Used in Program / Level | |||||||||||
| Program Name or requirement | Study Level | Semester | |||||||||
| Computer and Systems Engineering |
4 | ||||||||||
| General Electrical Engineering |
4 | ||||||||||
| Assessment Criteria | |||||||||||
| Student Activities | Mid-Term Exam | Oral/Practical | Final Exam | ||||||||
| 10% | 20% | 10% | 60% | ||||||||
| CSE416 | Selected Topics in Computer Design | 2 CH | |||||||||
| Prerequisites | |||||||||||
| Number of weekly Contact Hours | |||||||||||
| Lecture | Tutorial | Laboratory | |||||||||
| 2 Hours | 1 Hour | 1 Hour | |||||||||
| Required SWL | 125 | Equivalent ECTS | 5 | ||||||||
| Course Content | |||||||||||
| Selected topics in recent developments in computer hardware design will be presented in this course. Course material will reflect the needs of the graduating students | |||||||||||
| Assessment Criteria | |||||||||||
| Student Activities | Mid-Term Exam | Oral/Practical | Final Exam | ||||||||
| 15% | 25% | 10% | 40% | ||||||||
| CSE416s | Selected Topics in Computer Design | 2 CH | |||||||||
| Prerequisites | |||||||||||
| Number of weekly Contact Hours | |||||||||||
| Lecture | Tutorial | Laboratory | |||||||||
| 2 Hours | 1 Hour | 1 Hour | |||||||||
| Required SWL | 125 | Equivalent ECTS | 5 | ||||||||
| Course Content | |||||||||||
| Selected topics in recent developments in computer hardware design will be presented in this course. Course material will reflect the needs of the graduating students | |||||||||||
| Assessment Criteria | |||||||||||
| Student Activities | Mid-Term Exam | Oral/Practical | Final Exam | ||||||||
| 10% | 20% | 10% | 60% | ||||||||
| CSE031 | Computing in Engineering | 2 CH | |||||||||
| Prerequisites | |||||||||||
| Number of weekly Contact Hours | |||||||||||
| Lecture | Tutorial | Laboratory | |||||||||
| 2 Hours | 0 Hours | 0 Hours | |||||||||
| Required SWL | 100 | Equivalent ECTS | 4 | ||||||||
| Course Content | |||||||||||
| This introductory course in emerging technologies lays out the principles of big data, cloud computing, distributed computing, OS, IoT, content delivery network, Network Protocols, Wireless Network protocol, digital wireless telephony technologies, Internet operations, processors and storage technologies, Embedded Systems, augmented reality), virtual reality, the impact of technology on society. The course covers also computational thinking, problem solving, Abstraction, Problems Analysis, 3G/4G/5G, LTE, IPv4, IPv6. | |||||||||||
| Used in Program / Level | |||||||||||
| Program Name or requirement | Study Level | Semester | |||||||||
| Freshmen Level |
1 | 1 | |||||||||
| Assessment Criteria | |||||||||||
| Student Activities | Mid-Term Exam | Oral/Practical | Final Exam | ||||||||
| 30% | 25% | 0% | 40% | ||||||||
| CSE031s | Computing in Engineering | 2 CH | |||||||||
| Prerequisites | |||||||||||
| Number of weekly Contact Hours | |||||||||||
| Lecture | Tutorial | Laboratory | |||||||||
| 2 Hours | 0 Hours | 0 Hours | |||||||||
| Required SWL | 100 | Equivalent ECTS | 4 | ||||||||
| Course Content | |||||||||||
| This introductory course in emerging technologies lays out the principles of big data, cloud computing, distributed computing, OS, IoT, content delivery network, Network Protocols, Wireless Network protocol, digital wireless telephony technologies, Internet operations, processors and storage technologies, Embedded Systems, augmented reality), virtual reality, the impact of technology on society. The course covers also computational thinking, problem solving, Abstraction, Problems Analysis, 3G/4G/5G, LTE, IPv4, IPv6. | |||||||||||
| Used in Program / Level | |||||||||||
| Program Name or requirement | Study Level | Semester | |||||||||
| Freshmen Level |
1 | 1 | |||||||||
| Assessment Criteria | |||||||||||
| Student Activities | Mid-Term Exam | Oral/Practical | Final Exam | ||||||||
| 15% | 25% | 0% | 60% | ||||||||
| CSE131 | Computer Programming | 3 CH | |||||||||
| Prerequisites | |||||||||||
| Number of weekly Contact Hours | |||||||||||
| Lecture | Tutorial | Laboratory | |||||||||
| 3 Hours | 0 Hours | 2 Hours | |||||||||
| Required SWL | 150 | Equivalent ECTS | 6 | ||||||||
| Course Content | |||||||||||
| Basic programming concepts using one of the modern general-purpose programming languages. Data types, expressions, mathematical and logical operators, mathematical functions, conditions, decisions, loops, arrays, multi-dimensional arrays, strings, functions, function-call mechanisms, recursive functions, parameter passing, enumerations, addresses, pointers/references, pointers to pointers, pointers to functions, program memory segments, dynamic allocations, basic input/output, streams and files, exception handling, and static and dynamic libraries. | |||||||||||
| Used in Program / Level | |||||||||||
| Program Name or requirement | Study Level | Semester | |||||||||
| Computer Engineering and Software Systems |
2 | 3 | |||||||||
| Communication Systems Engineering |
2 | 4 | |||||||||
| Mechatronics Engineering and Automation |
2 | 4 | |||||||||
| Assessment Criteria | |||||||||||
| Student Activities | Mid-Term Exam | Oral/Practical | Final Exam | ||||||||
| 25% | 20% | 10% | 40% | ||||||||
| CSE131s | Computer Programming | 3 CH | |||||||||
| Prerequisites | |||||||||||
| Number of weekly Contact Hours | |||||||||||
| Lecture | Tutorial | Laboratory | |||||||||
| 3 Hours | 0 Hours | 2 Hours | |||||||||
| Required SWL | 150 | Equivalent ECTS | 6 | ||||||||
| Course Content | |||||||||||
| Basic programming concepts using one of the modern general-purpose programming languages. Data types, expressions, mathematical and logical operators, mathematical functions, conditions, decisions, loops, arrays, multi-dimensional arrays, strings, functions, function-call mechanisms, recursive functions, parameter passing, enumerations, addresses, pointers/references, pointers to pointers, pointers to functions, program memory segments, dynamic allocations, basic input/output, streams and files, exception handling, and static and dynamic libraries. | |||||||||||
| Used in Program / Level | |||||||||||
| Program Name or requirement | Study Level | Semester | |||||||||
| General Electrical Engineering |
2 | 4 | |||||||||
| Mechatronics Engineering |
3 | 5 | |||||||||
| Automotive Engineering |
4 | 7 | |||||||||
| Electrical Power and Machines Engineering |
3 | 5 | |||||||||
| Electronics and Communications Engineering |
3 | 5 | |||||||||
| Computer and Systems Engineering |
3 | 5 | |||||||||
| Assessment Criteria | |||||||||||
| Student Activities | Mid-Term Exam | Oral/Practical | Final Exam | ||||||||
| 10% | 20% | 10% | 60% | ||||||||
| CSE231 | Advanced Computer Programming | 3 CH | |||||||||
| Prerequisites | ( CSE131 ) | ||||||||||
| Number of weekly Contact Hours | |||||||||||
| Lecture | Tutorial | Laboratory | |||||||||
| 2 Hours | 0 Hours | 2 Hours | |||||||||
| Required SWL | 125 | Equivalent ECTS | 5 | ||||||||
| Course Content | |||||||||||
| Structured and object-oriented programming paradigms. Classes. Objects. Methods. Interfaces. Polymorphism. Inheritance. Data hiding. Constructors. Destructors. Access specifiers. Operator-overloading. Function overloading. Virtual functions. Friend functions. Abstract classes. Implementation of dynamic data structures. Template functions and classes. Graphical User Interface programming. Graphics. Event-driven programming. Concurrency and multi-threaded programming. | |||||||||||
| Used in Program / Level | |||||||||||
| Program Name or requirement | Study Level | Semester | |||||||||
| Computer Engineering and Software Systems |
2 | 4 | |||||||||
| Assessment Criteria | |||||||||||
| Student Activities | Mid-Term Exam | Oral/Practical | Final Exam | ||||||||
| 25% | 20% | 10% | 40% | ||||||||
| CSE231s | Advanced Computer Programming | 3 CH | |||||||||
| Prerequisites | ( CSE131s ) | ||||||||||
| Number of weekly Contact Hours | |||||||||||
| Lecture | Tutorial | Laboratory | |||||||||
| 2 Hours | 0 Hours | 2 Hours | |||||||||
| Required SWL | 125 | Equivalent ECTS | 5 | ||||||||
| Course Content | |||||||||||
| Structured and object-oriented programming paradigms. Classes. Objects. Methods. Interfaces. Polymorphism. Inheritance. Data hiding. Constructors. Destructors. Access specifiers. Operator-overloading. Function overloading. Virtual functions. Friend functions. Abstract classes. Implementation of dynamic data structures. Template functions and classes. Graphical User Interface programming. Graphics. Event-driven programming. Concurrency and multi-threaded programming. | |||||||||||
| Used in Program / Level | |||||||||||
| Program Name or requirement | Study Level | Semester | |||||||||
| Computer and Systems Engineering |
2 | 6 | |||||||||
| Mechatronics Engineering |
2 | ||||||||||
| Assessment Criteria | |||||||||||
| Student Activities | Mid-Term Exam | Oral/Practical | Final Exam | ||||||||
| 10% | 20% | 10% | 60% | ||||||||
| CSE232 | Advanced Software Engineering | 3 CH | |||||||||
| Prerequisites | ( CSE334 ) | ||||||||||
| Number of weekly Contact Hours | |||||||||||
| Lecture | Tutorial | Laboratory | |||||||||
| 2 Hours | 2 Hours | 0 Hours | |||||||||
| Required SWL | 125 | Equivalent ECTS | 5 | ||||||||
| Course Content | |||||||||||
| Differences between structured and object-oriented paradigms. The Unified Modelling Language (UML). Use-case modelling. Class modelling: noun extraction, Class-Responsibility-Collaboration (CRC) cards. Dynamic modelling. State diagrams. Testing during the object-oriented analysis phase. CASE tools for object-oriented analysis and design. Object-oriented design: interaction diagram, detailed class diagram, clients of objects, detailed design and program description languages. | |||||||||||
| Used in Program / Level | |||||||||||
| Program Name or requirement | Study Level | Semester | |||||||||
| Computer Engineering and Software Systems |
2 | 5 | |||||||||
| Assessment Criteria | |||||||||||
| Student Activities | Mid-Term Exam | Oral/Practical | Final Exam | ||||||||
| 35% | 20% | 0% | 40% | ||||||||
| CSE232s | Advanced Software Engineering | 3 CH | |||||||||
| Prerequisites | ( CSE334s ) | ||||||||||
| Number of weekly Contact Hours | |||||||||||
| Lecture | Tutorial | Laboratory | |||||||||
| 2 Hours | 2 Hours | 0 Hours | |||||||||
| Required SWL | 125 | Equivalent ECTS | 5 | ||||||||
| Course Content | |||||||||||
| Differences between structured and object-oriented paradigms. The Unified Modelling Language (UML). Use-case modelling. Class modelling: noun extraction, Class-Responsibility-Collaboration (CRC) cards. Dynamic modelling. State diagrams. Testing during the object-oriented analysis phase. CASE tools for object-oriented analysis and design. Object-oriented design: interaction diagram, detailed class diagram, clients of objects, detailed design and program description languages. | |||||||||||
| Assessment Criteria | |||||||||||
| Student Activities | Mid-Term Exam | Oral/Practical | Final Exam | ||||||||
| 40% | 20% | 0% | 40% | ||||||||
| CSE233 | Agile Software Engineering | 2 CH | |||||||||
| Prerequisites | ( CSE232 ) | ||||||||||
| Number of weekly Contact Hours | |||||||||||
| Lecture | Tutorial | Laboratory | |||||||||
| 1 Hour | 0 Hours | 4 Hours | |||||||||
| Required SWL | 125 | Equivalent ECTS | 5 | ||||||||
| Course Content | |||||||||||
| Introduction. Agile versus other traditional software models such as waterfall, incremental, reuse-oriented software. Principles of Agile, the people involved, ethics in Agile teams, organizational culture and agile distributed teams. The manifesto and concepts of the most popular methodology Scrum. Using JIRA as a platform of scrum. The meaning of Cynefin Framework. The roles of product owner, scrum master, product manager, and development team. Details on seven activities of scrum practices. Product backlog vs. sprint backlog. Multilevel planning in Scrum. Requirements and user stories. Estimating user stories points, velocity of the scrum team. Technical debt and team structures. Transition to an Agile software development environment. Other Agile methodologies such as extreme programming, Kanban, and Lean. Introduction to Agile testing. | |||||||||||
| Used in Program / Level | |||||||||||
| Program Name or requirement | Study Level | Semester | |||||||||
| Computer Engineering and Software Systems |
3 | 7 | |||||||||
| Assessment Criteria | |||||||||||
| Student Activities | Mid-Term Exam | Oral/Practical | Final Exam | ||||||||
| 15% | 20% | 20% | 40% | ||||||||
| CSE233s | Agile Software Engineering | 2 CH | |||||||||
| Prerequisites | ( CSE232s ) | ||||||||||
| Number of weekly Contact Hours | |||||||||||
| Lecture | Tutorial | Laboratory | |||||||||
| 1 Hour | 0 Hours | 4 Hours | |||||||||
| Required SWL | 125 | Equivalent ECTS | 5 | ||||||||
| Course Content | |||||||||||
| Introduction. Agile versus waterfall model. Principles of Agile, the people involved, ethics in Agile teams, organizational culture and agile distributed teams. Product manager versus product owner, product backlog versus sprint backlog. Agile reports, Agile planning, time management of Agile projects, Agile solution providers, problems with Agile, Agile testing and quality assurance, transition to an Agile software development environment, applying an Agile process to a transition process, application of Agile principles in non-software projects. | |||||||||||
| Assessment Criteria | |||||||||||
| Student Activities | Mid-Term Exam | Oral/Practical | Final Exam | ||||||||
| 20% | 20% | 20% | 40% | ||||||||
| CSE331 | Data Structures and Algorithms | 3 CH | |||||||||
| Prerequisites | ( CSE231 ) | ||||||||||
| Number of weekly Contact Hours | |||||||||||
| Lecture | Tutorial | Laboratory | |||||||||
| 2 Hours | 2 Hours | 1 Hour | |||||||||
| Required SWL | 125 | Equivalent ECTS | 5 | ||||||||
| Course Content | |||||||||||
| Algorithms: definitions, correctness, efficiency. Complexity analysis: The big O-notation, the theta-notation, and the Omega-notation. Elementary data structures: linked lists; (single, double, and circular), stacks, queues, and priority queues. Recursion: tail recursion, indirect recursion, non-tail recursion, nested recursion, and excessive recursion. Trees: binary and search trees and tree operations (insertion, deletion, and balancing). Multiway trees: B-tree, B*-tree, B+-tree, R-tree. Graphs. Sorting algorithms: insertion, selection, bubble, merge, quick, and radix. Comparison between sort algorithm using complexity analysis notations. | |||||||||||
| Used in Program / Level | |||||||||||
| Program Name or requirement | Study Level | Semester | |||||||||
| Computer Engineering and Software Systems |
2 | 5 | |||||||||
| Assessment Criteria | |||||||||||
| Student Activities | Mid-Term Exam | Oral/Practical | Final Exam | ||||||||
| 25% | 20% | 10% | 40% | ||||||||
| CSE331s | Data Structures and Algorithms | 3 CH | |||||||||
| Prerequisites | ( CSE231s ) | ||||||||||
| Number of weekly Contact Hours | |||||||||||
| Lecture | Tutorial | Laboratory | |||||||||
| 2 Hours | 2 Hours | 1 Hour | |||||||||
| Required SWL | 125 | Equivalent ECTS | 5 | ||||||||
| Course Content | |||||||||||
| Algorithms: definitions, correctness, efficiency. Complexity analysis: The big O-notation, the theta-notation, and the Omega-notation. Elementary data structures: linked lists; (single, double, and circular), stacks, queues, and priority queues. Recursion: tail recursion, indirect recursion, non-tail recursion, nested recursion, and excessive recursion. Trees: binary and search trees and tree operations (insertion, deletion, and balancing). Multiway trees: B-tree, B*-tree, B+-tree, R-tree. Graphs. Sorting algorithms: insertion, selection, bubble, merge, quick, and radix. Comparison between sort algorithm using complexity analysis notations. | |||||||||||
| Used in Program / Level | |||||||||||
| Program Name or requirement | Study Level | Semester | |||||||||
| Computer and Systems Engineering |
4 | 7 | |||||||||
| Assessment Criteria | |||||||||||
| Student Activities | Mid-Term Exam | Oral/Practical | Final Exam | ||||||||
| 10% | 20% | 10% | 60% | ||||||||
| CSE332 | Design and Analysis of Algorithms | 3 CH | |||||||||
| Prerequisites | ( CSE331 ) | ||||||||||
| Number of weekly Contact Hours | |||||||||||
| Lecture | Tutorial | Laboratory | |||||||||
| 2 Hours | 2 Hours | 1 Hour | |||||||||
| Required SWL | 125 | Equivalent ECTS | 5 | ||||||||
| Course Content | |||||||||||
| Introduction. Fundamental techniques for designing and analysing algorithms. Asymptotic analysis. Divide-and-conquer algorithms. Recurrences. Merge sort. Linear-time median. Greedy algorithms. Quick-sort algorithm. Dynamic programming. Graph algorithms. Graph search and Dijkstra’s algorithm. Minimum Spanning Trees. Randomized algorithms. Hashing. | |||||||||||
| Used in Program / Level | |||||||||||
| Program Name or requirement | Study Level | Semester | |||||||||
| Computer Engineering and Software Systems |
2 | 6 | |||||||||
| Assessment Criteria | |||||||||||
| Student Activities | Mid-Term Exam | Oral/Practical | Final Exam | ||||||||
| 35% | 20% | 0% | 40% | ||||||||
| CSE332s | Design and Analysis of Algorithms | 3 CH | |||||||||
| Prerequisites | ( CSE331s ) | ||||||||||
| Number of weekly Contact Hours | |||||||||||
| Lecture | Tutorial | Laboratory | |||||||||
| 2 Hours | 2 Hours | 1 Hour | |||||||||
| Required SWL | 125 | Equivalent ECTS | 5 | ||||||||
| Course Content | |||||||||||
| Introduction. Fundamental techniques for designing and analysing algorithms. Asymptotic analysis. Divide-and-conquer algorithms. Recurrences. Merge sort. Linear-time median. Greedy algorithms. Quick-sort algorithm. Dynamic programming. Graph algorithms. Graph search and Dijkstra’s algorithm. Minimum Spanning Trees. Randomized algorithms. Hashing. | |||||||||||
| Assessment Criteria | |||||||||||
| Student Activities | Mid-Term Exam | Oral/Practical | Final Exam | ||||||||
| 10% | 20% | 10% | 60% | ||||||||
| CSE333 | Database Systems | 3 CH | |||||||||
| Prerequisites | ( CSE331 ) | ||||||||||
| Number of weekly Contact Hours | |||||||||||
| Lecture | Tutorial | Laboratory | |||||||||
| 2 Hours | 1 Hour | 1 Hour | |||||||||
| Required SWL | 125 | Equivalent ECTS | 5 | ||||||||
| Course Content | |||||||||||
| Introduction to database systems. Architecture for a database system. Relational model: Domain, relations, and relational integrity. SQL. The relational database language standard: data definition language, data manipulation language, aggregate functions, views, database modification, database management system and examples such as Oracle and Access. Database design theory and methodology Entity/Relationship model (ERM) and enhanced Entity/Relationship model (EERM). Normalization for relational database. | |||||||||||
| Used in Program / Level | |||||||||||
| Program Name or requirement | Study Level | Semester | |||||||||
| Computer Engineering and Software Systems |
2 | 6 | |||||||||
| Assessment Criteria | |||||||||||
| Student Activities | Mid-Term Exam | Oral/Practical | Final Exam | ||||||||
| 25% | 20% | 10% | 40% | ||||||||
| CSE333s | Database Systems | 3 CH | |||||||||
| Prerequisites | ( CSE331s ) | ||||||||||
| Number of weekly Contact Hours | |||||||||||
| Lecture | Tutorial | Laboratory | |||||||||
| 2 Hours | 1 Hour | 1 Hour | |||||||||
| Required SWL | 125 | Equivalent ECTS | 5 | ||||||||
| Course Content | |||||||||||
| Introduction to database systems. Architecture for a database system. Relational model: Domain, relations, and relational integrity. SQL. The relational database language standard: data definition language, data manipulation language, aggregate functions, views, database modification, database management system and examples such as Oracle and Access. Database design theory and methodology Entity/Relationship model (ERM) and enhanced Entity/Relationship model (EERM). Normalization for relational database. | |||||||||||
| Used in Program / Level | |||||||||||
| Program Name or requirement | Study Level | Semester | |||||||||
| Computer and Systems Engineering |
4 | ||||||||||
| Assessment Criteria | |||||||||||
| Student Activities | Mid-Term Exam | Oral/Practical | Final Exam | ||||||||
| 10% | 20% | 10% | 60% | ||||||||
| CSE334 | Software Engineering | 3 CH | |||||||||
| Prerequisites | ( CSE131 ) | ||||||||||
| Number of weekly Contact Hours | |||||||||||
| Lecture | Tutorial | Laboratory | |||||||||
| 2 Hours | 2 Hours | 0 Hours | |||||||||
| Required SWL | 125 | Equivalent ECTS | 5 | ||||||||
| Course Content | |||||||||||
| Fundamental concepts of software engineering. Software processes life-cycle. Software requirements: functional requirements, non-functional requirements. Requirements modelling: flow, behaviour, patterns, and web applications. Requirements analysis. Scenario-based modelling. UML modelling. Data modelling. Class-based modelling. Software Requirements Specification (SRS) document. Requirements negotiations. Requirements validation. Use-case representations of requirements. CASE tools for software engineering. Software process models: waterfall model, spiral model, extreme programming model, and evolutionary model. Introduction to software design. | |||||||||||
| Used in Program / Level | |||||||||||
| Program Name or requirement | Study Level | Semester | |||||||||
| Computer Engineering and Software Systems |
1 | 4 | |||||||||
| Assessment Criteria | |||||||||||
| Student Activities | Mid-Term Exam | Oral/Practical | Final Exam | ||||||||
| 35% | 20% | 0% | 40% | ||||||||
| CSE334s | Software Engineering | 3 CH | |||||||||
| Prerequisites | ( CSE131s ) | ||||||||||
| Number of weekly Contact Hours | |||||||||||
| Lecture | Tutorial | Laboratory | |||||||||
| 2 Hours | 2 Hours | 0 Hours | |||||||||
| Required SWL | 125 | Equivalent ECTS | 5 | ||||||||
| Course Content | |||||||||||
| Fundamental concepts of software engineering. Software processes life-cycle. Software requirements: functional requirements, non-functional requirements. Requirements modelling: flow, behaviour, patterns, and web applications. Requirements analysis. Scenario-based modelling. UML modelling. Data modelling. Class-based modelling. Software Requirements Specification (SRS) document. Requirements negotiations. Requirements validation. Use-case representations of requirements. CASE tools for software engineering. Software process models: waterfall model, spiral model, extreme programming model, and evolutionary model. Introduction to software design. | |||||||||||
| Used in Program / Level | |||||||||||
| Program Name or requirement | Study Level | Semester | |||||||||
| Computer and Systems Engineering |
3 | 8 | |||||||||
| Assessment Criteria | |||||||||||
| Student Activities | Mid-Term Exam | Oral/Practical | Final Exam | ||||||||
| 20% | 20% | 0% | 60% | ||||||||
| CSE335 | Operating Systems | 3 CH | |||||||||
| Prerequisites | ( CSE112 OR CSE212 ) | ||||||||||
| Number of weekly Contact Hours | |||||||||||
| Lecture | Tutorial | Laboratory | |||||||||
| 2 Hours | 2 Hours | 0 Hours | |||||||||
| Required SWL | 125 | Equivalent ECTS | 5 | ||||||||
| Course Content | |||||||||||
| Introduction. Operating system structures and services. System calls. Process management. Inter-process communication. Threads and multithreading models. CPU scheduling. Scheduling algorithms. Process synchronization. Deadlocks. Memory management. Virtual memory. File systems. Emphasis on a typical operating system as a case study. | |||||||||||
| Used in Program / Level | |||||||||||
| Program Name or requirement | Study Level | Semester | |||||||||
| Computer Engineering and Software Systems |
2 | 5 | |||||||||
| Assessment Criteria | |||||||||||
| Student Activities | Mid-Term Exam | Oral/Practical | Final Exam | ||||||||
| 35% | 20% | 0% | 40% | ||||||||
| CSE335s | Operating Systems | 3 CH | |||||||||
| Prerequisites | ( CSE112s OR CSE212s ) | ||||||||||
| Number of weekly Contact Hours | |||||||||||
| Lecture | Tutorial | Laboratory | |||||||||
| 2 Hours | 2 Hours | 0 Hours | |||||||||
| Required SWL | 125 | Equivalent ECTS | 5 | ||||||||
| Course Content | |||||||||||
| Introduction. Operating system structures and services. System calls. Process management. Inter-process communication. Threads and multithreading models. CPU scheduling. Scheduling algorithms. Process synchronization. Deadlocks. Memory management. Virtual memory. File systems. Emphasis on a typical operating system as a case study. | |||||||||||
| Used in Program / Level | |||||||||||
| Program Name or requirement | Study Level | Semester | |||||||||
| Computer and Systems Engineering |
4 | 7 | |||||||||
| Assessment Criteria | |||||||||||
| Student Activities | Mid-Term Exam | Oral/Practical | Final Exam | ||||||||
| 20% | 20% | 0% | 60% | ||||||||
| CSE336 | Software Design Patterns | 2 CH | |||||||||
| Prerequisites | ( CSE231 ) | ||||||||||
| Number of weekly Contact Hours | |||||||||||
| Lecture | Tutorial | Laboratory | |||||||||
| 2 Hours | 1 Hour | 1 Hour | |||||||||
| Required SWL | 125 | Equivalent ECTS | 5 | ||||||||
| Course Content | |||||||||||
| Importance of software reusability. Software patterns and how to detect them. Pattern-based development. The observer pattern. The template method pattern. Factory patterns. The singleton pattern. The iterator pattern. The composite pattern. The facade pattern. The state and strategy patterns. Functions and the command pattern. The adapter pattern. The proxy pattern. The decorator pattern. The chain of responsibility pattern. The visitor pattern. Software design patterns in software reengineering. Searching for patterns in existing software. | |||||||||||
| Used in Program / Level | |||||||||||
| Program Name or requirement | Study Level | Semester | |||||||||
| Computer Engineering and Software Systems |
5 | 9 | |||||||||
| Assessment Criteria | |||||||||||
| Student Activities | Mid-Term Exam | Oral/Practical | Final Exam | ||||||||
| 25% | 20% | 10% | 40% | ||||||||
| CSE336s | Software Design Patterns | 2 CH | |||||||||
| Prerequisites | ( CSE231s ) | ||||||||||
| Number of weekly Contact Hours | |||||||||||
| Lecture | Tutorial | Laboratory | |||||||||
| 2 Hours | 1 Hour | 1 Hour | |||||||||
| Required SWL | 125 | Equivalent ECTS | 5 | ||||||||
| Course Content | |||||||||||
| Importance of software reusability. Software patterns and how to detect them. Pattern-based development. The observer pattern. The template method pattern. Factory patterns. The singleton pattern. The iterator pattern. The composite pattern. The facade pattern. The state and strategy patterns. Functions and the command pattern. The adapter pattern. The proxy pattern. The decorator pattern. The chain of responsibility pattern. The visitor pattern. Software design patterns in software reengineering. Searching for patterns in existing software. | |||||||||||
| Used in Program / Level | |||||||||||
| Program Name or requirement | Study Level | Semester | |||||||||
| Computer and Systems Engineering |
4 | 7 | |||||||||
| Assessment Criteria | |||||||||||
| Student Activities | Mid-Term Exam | Oral/Practical | Final Exam | ||||||||
| 10% | 20% | 10% | 60% | ||||||||
| CSE337 | Software Testing | 2 CH | |||||||||
| Prerequisites | ( CSE231 ) | ||||||||||
| Number of weekly Contact Hours | |||||||||||
| Lecture | Tutorial | Laboratory | |||||||||
| 2 Hours | 1 Hour | 1 Hour | |||||||||
| Required SWL | 125 | Equivalent ECTS | 5 | ||||||||
| Course Content | |||||||||||
| Testing requirements, plans, measures. Risk management. Testing lifecycle. Software quality process. Capability Maturity Model (CMM). Testing techniques. Test cases. Inspection process. Testing waterfall model: static testing of requirements, testing checklist, logical, physical, and unit design testing, static and dynamic testing of code. Non-functional testing. CASE tools in testing. | |||||||||||
| Assessment Criteria | |||||||||||
| Student Activities | Mid-Term Exam | Oral/Practical | Final Exam | ||||||||
| 15% | 25% | 10% | 40% | ||||||||
| CSE337s | Software Testing | 2 CH | |||||||||
| Prerequisites | ( CSE231s ) | ||||||||||
| Number of weekly Contact Hours | |||||||||||
| Lecture | Tutorial | Laboratory | |||||||||
| 2 Hours | 1 Hour | 1 Hour | |||||||||
| Required SWL | 125 | Equivalent ECTS | 5 | ||||||||
| Course Content | |||||||||||
| Testing requirements, plans, measures. Risk management. Testing lifecycle. Software quality process. Capability Maturity Model (CMM). Testing techniques. Test cases. Inspection process. Testing waterfall model: static testing of requirements, testing checklist, logical, physical, and unit design testing, static and dynamic testing of code. Non-functional testing. CASE tools in testing. | |||||||||||
| Used in Program / Level | |||||||||||
| Program Name or requirement | Study Level | Semester | |||||||||
| Computer and Systems Engineering |
4 | 8 | |||||||||
| Assessment Criteria | |||||||||||
| Student Activities | Mid-Term Exam | Oral/Practical | Final Exam | ||||||||
| 10% | 20% | 10% | 60% | ||||||||
| CSE338 | Software Testing, Validation, and Verification | 3 CH | |||||||||
| Prerequisites | ( CSE232 ) | ||||||||||
| Number of weekly Contact Hours | |||||||||||
| Lecture | Tutorial | Laboratory | |||||||||
| 2 Hours | 2 Hours | 1 Hour | |||||||||
| Required SWL | 125 | Equivalent ECTS | 5 | ||||||||
| Course Content | |||||||||||
| Introduction. Testing, Verification, and Validation (V&V) requirements, plans, measures. Risk management. V&V life-cycle. V&V and UML. V&V of the quality of MOPS, MOSS, and MOBS. Software quality process. Capability Maturity Model (CMM). Testing techniques. Test cases. Inspection process. Testing waterfall model: static testing of requirements, testing checklist, logical, physical, and unit design testing, static and dynamic testing of code. Non-functional testing. CASE tools in testing. | |||||||||||
| Used in Program / Level | |||||||||||
| Program Name or requirement | Study Level | Semester | |||||||||
| Computer Engineering and Software Systems |
3 | 6 | |||||||||
| Computer Engineering and Software Systems |
1 | ||||||||||
| Assessment Criteria | |||||||||||
| Student Activities | Mid-Term Exam | Oral/Practical | Final Exam | ||||||||
| 15% | 20% | 20% | 40% | ||||||||
| CSE338s | Software Testing, Validation, and Verification | 3 CH | |||||||||
| Prerequisites | ( CSE232s ) | ||||||||||
| Number of weekly Contact Hours | |||||||||||
| Lecture | Tutorial | Laboratory | |||||||||
| 2 Hours | 2 Hours | 1 Hour | |||||||||
| Required SWL | 125 | Equivalent ECTS | 5 | ||||||||
| Course Content | |||||||||||
| Introduction. Testing, Verification, and Validation (V&V) requirements, plans, measures. Risk management. V&V life-cycle. V&V and UML. V&V of the quality of MOPS, MOSS, and MOBS. Software quality process. Capability Maturity Model (CMM). Testing techniques. Test cases. Inspection process. Testing waterfall model: static testing of requirements, testing checklist, logical, physical, and unit design testing, static and dynamic testing of code. Non-functional testing. CASE tools in testing. | |||||||||||
| Assessment Criteria | |||||||||||
| Student Activities | Mid-Term Exam | Oral/Practical | Final Exam | ||||||||
| 20% | 20% | 20% | 40% | ||||||||
| CSE339 | Software Formal Specifications | 2 CH | |||||||||
| Prerequisites | ( CSE334 ) | ||||||||||
| Number of weekly Contact Hours | |||||||||||
| Lecture | Tutorial | Laboratory | |||||||||
| 2 Hours | 1 Hour | 1 Hour | |||||||||
| Required SWL | 125 | Equivalent ECTS | 5 | ||||||||
| Course Content | |||||||||||
| Introduction. Mathematical fundamentals. Z scheme. State-based approaches. Event-based approaches. B machines. Algebraic specifications. Petri nets. Temporal logic. Properties of programs. Computational Tree Logic (CTL). Specification. Verification. Model checking. | |||||||||||
| Used in Program / Level | |||||||||||
| Program Name or requirement | Study Level | Semester | |||||||||
| Computer Engineering and Software Systems |
3 | ||||||||||
| Assessment Criteria | |||||||||||
| Student Activities | Mid-Term Exam | Oral/Practical | Final Exam | ||||||||
| 15% | 20% | 20% | 40% | ||||||||
| CSE339s | Software Formal Specifications | 2 CH | |||||||||
| Prerequisites | ( CSE334s ) | ||||||||||
| Number of weekly Contact Hours | |||||||||||
| Lecture | Tutorial | Laboratory | |||||||||
| 2 Hours | 1 Hour | 1 Hour | |||||||||
| Required SWL | 125 | Equivalent ECTS | 5 | ||||||||
| Course Content | |||||||||||
| Introduction. Mathematical fundamentals. Z scheme. State-based approaches. Event-based approaches. B machines. Algebraic specifications. Petri nets. Temporal logic. Properties of programs. Computational Tree Logic (CTL). Specification. Verification. Model checking. | |||||||||||
| Assessment Criteria | |||||||||||
| Student Activities | Mid-Term Exam | Oral/Practical | Final Exam | ||||||||
| 20% | 20% | 20% | 40% | ||||||||
| CSE341 | Internet Programming | 3 CH | |||||||||
| Prerequisites | ( CSE231 ) | ||||||||||
| Number of weekly Contact Hours | |||||||||||
| Lecture | Tutorial | Laboratory | |||||||||
| 2 Hours | 1 Hour | 2 Hours | |||||||||
| Required SWL | 125 | Equivalent ECTS | 5 | ||||||||
| Course Content | |||||||||||
| Introduction: web servers, the client-server paradigm, web programming models. Static HTML pages. Style sheets. Dynamic pages. Client-side scripting. Server-side programming. Database sever access. The Model-View-Controller (MVC) architecture. Web services. Interactive dynamic pages. Web hosting and web application deployment. | |||||||||||
| Used in Program / Level | |||||||||||
| Program Name or requirement | Study Level | Semester | |||||||||
| Computer Engineering and Software Systems |
3 | 8 | |||||||||
| Assessment Criteria | |||||||||||
| Student Activities | Mid-Term Exam | Oral/Practical | Final Exam | ||||||||
| 15% | 20% | 20% | 40% | ||||||||
| CSE341s | Internet Programming | 3 CH | |||||||||
| Prerequisites | ( CSE231s ) | ||||||||||
| Number of weekly Contact Hours | |||||||||||
| Lecture | Tutorial | Laboratory | |||||||||
| 2 Hours | 1 Hour | 2 Hours | |||||||||
| Required SWL | 125 | Equivalent ECTS | 5 | ||||||||
| Course Content | |||||||||||
| Introduction: web servers, the client-server paradigm, web programming models. Static HTML pages. Style sheets. Dynamic pages. Client-side scripting. Server-side programming. Database sever access. The Model-View-Controller (MVC) architecture. Web services. Interactive dynamic pages. Web hosting and web application deployment. | |||||||||||
| Assessment Criteria | |||||||||||
| Student Activities | Mid-Term Exam | Oral/Practical | Final Exam | ||||||||
| 20% | 20% | 20% | 40% | ||||||||
| CSE342 | Program Analysis | 2 CH | |||||||||
| Prerequisites | ( CSE338 ) | ||||||||||
| Number of weekly Contact Hours | |||||||||||
| Lecture | Tutorial | Laboratory | |||||||||
| 2 Hours | 1 Hour | 1 Hour | |||||||||
| Required SWL | 125 | Equivalent ECTS | 5 | ||||||||
| Course Content | |||||||||||
| Introduction. First-order logic. Implication. Tableaux. Proofs. Deduction. Dataflow analysis. Abstract interpretation. Symbolic execution. Pointer. Control-flow analysis. Inter-procedural analysis. Model checking. Dynamic analysis. Efficient data structures and program representations for analysis | |||||||||||
| Used in Program / Level | |||||||||||
| Program Name or requirement | Study Level | Semester | |||||||||
| Computer Engineering and Software Systems |
3 | ||||||||||
| Assessment Criteria | |||||||||||
| Student Activities | Mid-Term Exam | Oral/Practical | Final Exam | ||||||||
| 15% | 20% | 20% | 40% | ||||||||
| CSE342s | Program Analysis | 2 CH | |||||||||
| Prerequisites | ( CSE231s ) | ||||||||||
| Number of weekly Contact Hours | |||||||||||
| Lecture | Tutorial | Laboratory | |||||||||
| 2 Hours | 1 Hour | 1 Hour | |||||||||
| Required SWL | 125 | Equivalent ECTS | 5 | ||||||||
| Course Content | |||||||||||
| Introduction. First-order logic. Implication. Tableaux. Proofs. Deduction. Dataflow analysis. Abstract interpretation. Symbolic execution. Pointer. Control-flow analysis. Inter-procedural analysis. Model checking. Dynamic analysis. Efficient data structures and program representations for analysis | |||||||||||
| Assessment Criteria | |||||||||||
| Student Activities | Mid-Term Exam | Oral/Practical | Final Exam | ||||||||
| 20% | 20% | 20% | 40% | ||||||||
| CSE343 | Software Engineering Process Management | 2 CH | |||||||||
| Prerequisites | ( CSE232 ) | ||||||||||
| Number of weekly Contact Hours | |||||||||||
| Lecture | Tutorial | Laboratory | |||||||||
| 2 Hours | 1 Hour | 1 Hour | |||||||||
| Required SWL | 125 | Equivalent ECTS | 5 | ||||||||
| Course Content | |||||||||||
| Introduction. Integrated approach to manage development within small teams; including mission statement, synthesis of design concepts, trade-off studies, risk assessment and the interactions encountered in the optimal design, development, manufacture and test of systems. | |||||||||||
| Used in Program / Level | |||||||||||
| Program Name or requirement | Study Level | Semester | |||||||||
| Computer Engineering and Software Systems |
3 | ||||||||||
| Assessment Criteria | |||||||||||
| Student Activities | Mid-Term Exam | Oral/Practical | Final Exam | ||||||||
| 15% | 20% | 20% | 40% | ||||||||
| CSE343s | Software Engineering Process Management | 2 CH | |||||||||
| Prerequisites | ( CSE232s ) | ||||||||||
| Number of weekly Contact Hours | |||||||||||
| Lecture | Tutorial | Laboratory | |||||||||
| 2 Hours | 1 Hour | 1 Hour | |||||||||
| Required SWL | 125 | Equivalent ECTS | 5 | ||||||||
| Course Content | |||||||||||
| Introduction. Integrated approach to manage development within small teams; including mission statement, synthesis of design concepts, trade-off studies, risk assessment and the interactions encountered in the optimal design, development, manufacture and test of systems. | |||||||||||
| Assessment Criteria | |||||||||||
| Student Activities | Mid-Term Exam | Oral/Practical | Final Exam | ||||||||
| 20% | 20% | 20% | 40% | ||||||||
| CSE344 | Dependability and Reliability of Software Systems | 2 CH | |||||||||
| Prerequisites | ( CSE232 ) | ||||||||||
| Number of weekly Contact Hours | |||||||||||
| Lecture | Tutorial | Laboratory | |||||||||
| 2 Hours | 1 Hour | 1 Hour | |||||||||
| Required SWL | 125 | Equivalent ECTS | 5 | ||||||||
| Course Content | |||||||||||
| Introduction. Factors affecting software quality. Software reliability engineering, Software reliability engineering process. Single failure model. Reliability growth model. Weibull and Gamma failure class models. Early life-cycle prediction models. Serial and parallel system reliability. Active redundancy. Reliability Block Diagram (RBD). Hazard analysis. Failure Modes and Effect Analysis (FMEA). Fault Tree Analysis (FTA). Software fault tolerance: redundancy, design methods, programming techniques. Failure severity. Occurrence probabilities. Code predictability, reliability, and dependability. Simulation and reliability growth tools: SMERFS, SRMP, SoftRel, CASRE. | |||||||||||
| Used in Program / Level | |||||||||||
| Program Name or requirement | Study Level | Semester | |||||||||
| Computer Engineering and Software Systems |
3 | ||||||||||
| Assessment Criteria | |||||||||||
| Student Activities | Mid-Term Exam | Oral/Practical | Final Exam | ||||||||
| 15% | 20% | 20% | 40% | ||||||||
| CSE344s | Dependability and Reliability of Software Systems | 2 CH | |||||||||
| Prerequisites | ( CSE232s ) | ||||||||||
| Number of weekly Contact Hours | |||||||||||
| Lecture | Tutorial | Laboratory | |||||||||
| 2 Hours | 1 Hour | 1 Hour | |||||||||
| Required SWL | 125 | Equivalent ECTS | 5 | ||||||||
| Course Content | |||||||||||
| Introduction. Factors affecting software quality. Software reliability engineering, Software reliability engineering process. Single failure model. Reliability growth model. Weibull and Gamma failure class models. Early life-cycle prediction models. Serial and parallel system reliability. Active redundancy. Reliability Block Diagram (RBD). Hazard analysis. Failure Modes and Effect Analysis (FMEA). Fault Tree Analysis (FTA). Software fault tolerance: redundancy, design methods, programming techniques. Failure severity. Occurrence probabilities. Code predictability, reliability, and dependability. Simulation and reliability growth tools: SMERFS, SRMP, SoftRel, CASRE. | |||||||||||
| Assessment Criteria | |||||||||||
| Student Activities | Mid-Term Exam | Oral/Practical | Final Exam | ||||||||
| 20% | 20% | 20% | 40% | ||||||||
| CSE345 | Business Process Modeling | 2 CH | |||||||||
| Prerequisites | ( CSE232 ) | ||||||||||
| Number of weekly Contact Hours | |||||||||||
| Lecture | Tutorial | Laboratory | |||||||||
| 2 Hours | 1 Hour | 1 Hour | |||||||||
| Required SWL | 125 | Equivalent ECTS | 5 | ||||||||
| Course Content | |||||||||||
| The purpose and benefits of Business Process Modelling. The role of process modelling. Process modelling steps and ingredients that are necessary for success. Process boundaries. Modelling techniques to represent existing processes. Modelling processes patterns. Effectiveness of the processes. Modelling of new, improved processes. Measuring the success of business processes. Communicating process models. | |||||||||||
| Used in Program / Level | |||||||||||
| Program Name or requirement | Study Level | Semester | |||||||||
| Computer Engineering and Software Systems |
3 | ||||||||||
| Assessment Criteria | |||||||||||
| Student Activities | Mid-Term Exam | Oral/Practical | Final Exam | ||||||||
| 15% | 20% | 20% | 40% | ||||||||
| CSE345s | Business Process Modeling | 2 CH | |||||||||
| Prerequisites | ( CSE232s ) | ||||||||||
| Number of weekly Contact Hours | |||||||||||
| Lecture | Tutorial | Laboratory | |||||||||
| 2 Hours | 1 Hour | 1 Hour | |||||||||
| Required SWL | 125 | Equivalent ECTS | 5 | ||||||||
| Course Content | |||||||||||
| The purpose and benefits of Business Process Modelling. The role of process modelling. Process modelling steps and ingredients that are necessary for success. Process boundaries. Modelling techniques to represent existing processes. Modelling processes patterns. Effectiveness of the processes. Modelling of new, improved processes. Measuring the success of business processes. Communicating process models. | |||||||||||
| Assessment Criteria | |||||||||||
| Student Activities | Mid-Term Exam | Oral/Practical | Final Exam | ||||||||
| 20% | 20% | 20% | 40% | ||||||||
| CSE346 | Advanced Database Systems | 2 CH | |||||||||
| Prerequisites | ( CSE333 ) | ||||||||||
| Number of weekly Contact Hours | |||||||||||
| Lecture | Tutorial | Laboratory | |||||||||
| 2 Hours | 1 Hour | 1 Hour | |||||||||
| Required SWL | 125 | Equivalent ECTS | 5 | ||||||||
| Course Content | |||||||||||
| Query processing and optimization. Database tuning. Transaction processing. Concurrency control. Database recovery. Object databases: standards, languages, and design. Object-relational databases. Database security. Distributed database systems: architecture, data fragmentation, distributed read/update transparency, access primitives, integrity constraints, distributed database design, queries, optimization, concurrency, and reliability control. XML, semi-structured, federated, and Internet databases. Data warehousing. Introduction to data mining. | |||||||||||
| Used in Program / Level | |||||||||||
| Program Name or requirement | Study Level | Semester | |||||||||
| Computer Engineering and Software Systems |
3 | ||||||||||
| Assessment Criteria | |||||||||||
| Student Activities | Mid-Term Exam | Oral/Practical | Final Exam | ||||||||
| 25% | 20% | 10% | 40% | ||||||||
| CSE346s | Advanced Database Systems | 2 CH | |||||||||
| Prerequisites | ( CSE333s ) | ||||||||||
| Number of weekly Contact Hours | |||||||||||
| Lecture | Tutorial | Laboratory | |||||||||
| 2 Hours | 1 Hour | 1 Hour | |||||||||
| Required SWL | 125 | Equivalent ECTS | 5 | ||||||||
| Course Content | |||||||||||
| Query processing and optimization. Database tuning. Transaction processing. Concurrency control. Database recovery. Object databases: standards, languages, and design. Object-relational databases. Database security. Distributed database systems: architecture, data fragmentation, distributed read/update transparency, access primitives, integrity constrains, distributed database design, queries, optimization, concurrency and reliability control. XML, semi-structured, federated, and Internet databases. Data warehousing. Introduction to data mining. | |||||||||||
| Used in Program / Level | |||||||||||
| Program Name or requirement | Study Level | Semester | |||||||||
| Computer and Systems Engineering |
5 | 9 | |||||||||
| Assessment Criteria | |||||||||||
| Student Activities | Mid-Term Exam | Oral/Practical | Final Exam | ||||||||
| 10% | 20% | 10% | 60% | ||||||||
| CSE431 | Mobile Programming | 3 CH | |||||||||
| Prerequisites | ( CSE341 ) | ||||||||||
| Number of weekly Contact Hours | |||||||||||
| Lecture | Tutorial | Laboratory | |||||||||
| 2 Hours | 1 Hour | 2 Hours | |||||||||
| Required SWL | 125 | Equivalent ECTS | 5 | ||||||||
| Course Content | |||||||||||
| Mobile operating systems (Windows mobile, iOS, Android, Blackberry ... etc.), mobile databases, client-server agents, application servers, mobile Internet. Mobile applications: context, design, information architecture, development, testing, maintenance, mobile web versus native applications. Development environments. Programming languages and SDKs for mobile application development. Location management. Location-based services. Context-aware mobile programming. Mobile-agent middleware. Caching strategies in mobile environments. Mobile VoIP applications. Fault tolerance and security in mobile environments. | |||||||||||
| Used in Program / Level | |||||||||||
| Program Name or requirement | Study Level | Semester | |||||||||
| Computer Engineering and Software Systems |
5 | 9 | |||||||||
| Assessment Criteria | |||||||||||
| Student Activities | Mid-Term Exam | Oral/Practical | Final Exam | ||||||||
| 15% | 20% | 20% | 40% | ||||||||
| CSE431s | Mobile Programming | 3 CH | |||||||||
| Prerequisites | ( CSE341s ) | ||||||||||
| Number of weekly Contact Hours | |||||||||||
| Lecture | Tutorial | Laboratory | |||||||||
| 2 Hours | 1 Hour | 2 Hours | |||||||||
| Required SWL | 125 | Equivalent ECTS | 5 | ||||||||
| Course Content | |||||||||||
| Mobile operating systems (Windows mobile, iOS, Android, Blackberry ... etc.), mobile databases, client-server agents, application servers, mobile Internet. Mobile applications: context, design, information architecture, development, testing, maintenance, mobile web versus native applications. Development environments. Programming languages and SDKs for mobile application development. Location management. Location-based services. Context-aware mobile programming. Mobile-agent middleware. Caching strategies in mobile environments. Mobile VoIP applications. Fault tolerance and security in mobile environments. | |||||||||||
| Assessment Criteria | |||||||||||
| Student Activities | Mid-Term Exam | Oral/Practical | Final Exam | ||||||||
| 20% | 20% | 20% | 40% | ||||||||
| CSE432 | Automata and Computability | 3 CH | |||||||||
| Prerequisites | ( CSE332 ) | ||||||||||
| Number of weekly Contact Hours | |||||||||||
| Lecture | Tutorial | Laboratory | |||||||||
| 2 Hours | 2 Hours | 0 Hours | |||||||||
| Required SWL | 125 | Equivalent ECTS | 5 | ||||||||
| Course Content | |||||||||||
| Fundamental concepts in automata theory and formal languages including grammar, deterministic and nondeterministic finite automata, regular expression, formal language, pushdown automaton, Turing machines, the halting problem, diagonalization and reduction, decidability, Rice’s theorem, P, NP, and NP-completeness. | |||||||||||
| Used in Program / Level | |||||||||||
| Program Name or requirement | Study Level | Semester | |||||||||
| Computer Engineering and Software Systems |
4 | 8 | |||||||||
| Assessment Criteria | |||||||||||
| Student Activities | Mid-Term Exam | Oral/Practical | Final Exam | ||||||||
| 35% | 20% | 0% | 40% | ||||||||
| CSE432s | Automata and Computability | 3 CH | |||||||||
| Prerequisites | ( CSE332s ) | ||||||||||
| Number of weekly Contact Hours | |||||||||||
| Lecture | Tutorial | Laboratory | |||||||||
| 2 Hours | 2 Hours | 0 Hours | |||||||||
| Required SWL | 125 | Equivalent ECTS | 5 | ||||||||
| Course Content | |||||||||||
| Fundamental concepts in automata theory and formal languages including grammar, deterministic and nondeterministic finite automata, regular expression, formal language, pushdown automaton, Turing machines, the halting problem, diagonalization and reduction, decidability, Rice’s theorem, P, NP, and NP-completeness. | |||||||||||
| Assessment Criteria | |||||||||||
| Student Activities | Mid-Term Exam | Oral/Practical | Final Exam | ||||||||
| 40% | 20% | 0% | 40% | ||||||||
| CSE433 | Software Performance Evaluation | 3 CH | |||||||||
| Prerequisites | ( CSE232 ) | ||||||||||
| Number of weekly Contact Hours | |||||||||||
| Lecture | Tutorial | Laboratory | |||||||||
| 3 Hours | 1 Hour | 1 Hour | |||||||||
| Required SWL | 125 | Equivalent ECTS | 5 | ||||||||
| Course Content | |||||||||||
| Software metrics: progress, effort, cost, training. Requirements stability. Size stability. Computer resources utilization. Reliability. Openness. Operability. Upgradeability. Usability. Performance analysis. Testing and tuning techniques. Evaluating software scalability. Capacity planning methodologies. Issues related to safety, security, and availability of software. Software performance analysis tools. Static analysis tools. Dynamic analysis tools. Hybrid analysis tools. | |||||||||||
| Used in Program / Level | |||||||||||
| Program Name or requirement | Study Level | Semester | |||||||||
| Computer Engineering and Software Systems |
5 | 9 | |||||||||
| Assessment Criteria | |||||||||||
| Student Activities | Mid-Term Exam | Oral/Practical | Final Exam | ||||||||
| 15% | 20% | 20% | 40% | ||||||||
| CSE433s | Software Performance Evaluation | 3 CH | |||||||||
| Prerequisites | ( CSE232s ) | ||||||||||
| Number of weekly Contact Hours | |||||||||||
| Lecture | Tutorial | Laboratory | |||||||||
| 3 Hours | 1 Hour | 1 Hour | |||||||||
| Required SWL | 125 | Equivalent ECTS | 5 | ||||||||
| Course Content | |||||||||||
| Software metrics: progress, effort, cost, training. Requirements stability. Size stability. Computer resources utilization. Reliability. Openness. Operability. Upgradeability. Usability. Performance analysis. Testing and tuning techniques. Evaluating software scalability. Capacity planning methodologies. Issues related to safety, security, and availability of software. Software performance analysis tools. Static analysis tools. Dynamic analysis tools. Hybrid analysis tools. | |||||||||||
| Assessment Criteria | |||||||||||
| Student Activities | Mid-Term Exam | Oral/Practical | Final Exam | ||||||||
| 20% | 20% | 20% | 40% | ||||||||
| CSE434 | Aspect- and Service-Oriented Software Systems | 3 CH | |||||||||
| Prerequisites | ( CSE232 ) | ||||||||||
| Number of weekly Contact Hours | |||||||||||
| Lecture | Tutorial | Laboratory | |||||||||
| 3 Hours | 1 Hour | 1 Hour | |||||||||
| Required SWL | 125 | Equivalent ECTS | 5 | ||||||||
| Course Content | |||||||||||
| Aspect-Oriented Software, cross-cutting concerns. Nature of aspect-oriented programming, Aspect-oriented requirements engineering, Aspect-oriented system architecture, Aspect-oriented modelling and design, Aspect-Oriented Programming (AOP), Formal method support for aspect-orientation, Aspect-oriented middleware. Service-Oriented Architecture (SOA), Service-Oriented Software Engineering (SOSE), Service-oriented interaction, Service-oriented analysis and design, service-oriented modelling, Separation of concerns, Service-Oriented Software Examples and Case Studies. | |||||||||||
| Used in Program / Level | |||||||||||
| Program Name or requirement | Study Level | Semester | |||||||||
| Computer Engineering and Software Systems |
4 | ||||||||||
| Assessment Criteria | |||||||||||
| Student Activities | Mid-Term Exam | Oral/Practical | Final Exam | ||||||||
| 15% | 20% | 20% | 40% | ||||||||
| CSE434s | Aspect- and Service-Oriented Software Systems | 3 CH | |||||||||
| Prerequisites | ( CSE232s ) | ||||||||||
| Number of weekly Contact Hours | |||||||||||
| Lecture | Tutorial | Laboratory | |||||||||
| 3 Hours | 1 Hour | 1 Hour | |||||||||
| Required SWL | 125 | Equivalent ECTS | 5 | ||||||||
| Course Content | |||||||||||
| Aspect-Oriented Software, cross-cutting concerns. Nature of aspect-oriented programming, Aspect-oriented requirements engineering, Aspect-oriented system architecture, Aspect-oriented modelling and design, Aspect-Oriented Programming (AOP), Formal method support for aspect-orientation, Aspect-oriented middleware. Service-Oriented Architecture (SOA), Service-Oriented Software Engineering (SOSE), Service-oriented interaction, Service-oriented analysis and design, service-oriented modelling, Separation of concerns, Service-Oriented Software Examples and Case Studies. | |||||||||||
| Assessment Criteria | |||||||||||
| Student Activities | Mid-Term Exam | Oral/Practical | Final Exam | ||||||||
| 20% | 20% | 20% | 40% | ||||||||
| CSE435 | Secure Code Development | 3 CH | |||||||||
| Prerequisites | ( CSE231 ) AND ( CSE451 ) | ||||||||||
| Number of weekly Contact Hours | |||||||||||
| Lecture | Tutorial | Laboratory | |||||||||
| 3 Hours | 1 Hour | 1 Hour | |||||||||
| Required SWL | 125 | Equivalent ECTS | 5 | ||||||||
| Course Content | |||||||||||
| Introduction. Secure code development principles. Best practices. Security strategies and controls. Malicious code and defensive techniques. Code review and testing. Security documentation and error messages. Secure coding techniques. Access control. Input validation. Threat identifications and modelling. Vulnerability analysis. Automated code analysis. Risk assessment. Secure code development life-cycle: development, maintenance, and refinement. Knowledge catalogue: principles, guidelines, vulnerabilities, attack patterns, and historical risks. Coding errors. Breaking software. Web-applications threats and vulnerabilities. | |||||||||||
| Used in Program / Level | |||||||||||
| Program Name or requirement | Study Level | Semester | |||||||||
| Computer Engineering and Software Systems |
4 | ||||||||||
| Computer Engineering and Software Systems |
5 | 10 | |||||||||
| Assessment Criteria | |||||||||||
| Student Activities | Mid-Term Exam | Oral/Practical | Final Exam | ||||||||
| 15% | 20% | 20% | 40% | ||||||||
| CSE435s | Secure Code Development | 3 CH | |||||||||
| Prerequisites | ( CSE231s ) AND ( CSE451s ) | ||||||||||
| Number of weekly Contact Hours | |||||||||||
| Lecture | Tutorial | Laboratory | |||||||||
| 3 Hours | 1 Hour | 1 Hour | |||||||||
| Required SWL | 125 | Equivalent ECTS | 5 | ||||||||
| Course Content | |||||||||||
| Introduction. Secure code development principles. Best practices. Security strategies and controls. Malicious code and defensive techniques. Code review and testing. Security documentation and error messages. Secure coding techniques. Access control. Input validation. Threat identifications and modelling. Vulnerability analysis. Automated code analysis. Risk assessment. Secure code development life-cycle: development, maintenance, and refinement. Knowledge catalogue: principles, guidelines, vulnerabilities, attack patterns, and historical risks. Coding errors. Breaking software. Web-applications threats and vulnerabilities. | |||||||||||
| Assessment Criteria | |||||||||||
| Student Activities | Mid-Term Exam | Oral/Practical | Final Exam | ||||||||
| 20% | 20% | 20% | 40% | ||||||||
| CSE436 | Software Quality Assurance | 3 CH | |||||||||
| Prerequisites | ( CSE232 ) | ||||||||||
| Number of weekly Contact Hours | |||||||||||
| Lecture | Tutorial | Laboratory | |||||||||
| 3 Hours | 1 Hour | 1 Hour | |||||||||
| Required SWL | 125 | Equivalent ECTS | 5 | ||||||||
| Course Content | |||||||||||
| Integrity and effectiveness of software development processes, Basics of SQA. Techniques and processes for SQA. Software quality assurance plan. Software quality assurance team. Inspections. Product reviews. Walk-throughs and audits. Software quality metrics. Quality assurance in agile, iterative, and incremental development environments. Risk analysis and resolution. Costs associated with quality. Various effective (SQA) guidelines and standards. Software testing. Test Strategies. CMM, CMMI, ISO standards. | |||||||||||
| Used in Program / Level | |||||||||||
| Program Name or requirement | Study Level | Semester | |||||||||
| Computer Engineering and Software Systems |
4 | ||||||||||
| Assessment Criteria | |||||||||||
| Student Activities | Mid-Term Exam | Oral/Practical | Final Exam | ||||||||
| 15% | 20% | 20% | 40% | ||||||||
| CSE436s | Software Quality Assurance | 3 CH | |||||||||
| Prerequisites | ( CSE232s ) | ||||||||||
| Number of weekly Contact Hours | |||||||||||
| Lecture | Tutorial | Laboratory | |||||||||
| 3 Hours | 1 Hour | 1 Hour | |||||||||
| Required SWL | 125 | Equivalent ECTS | 5 | ||||||||
| Course Content | |||||||||||
| Integrity and effectiveness of software development processes, Basics of SQA. Techniques and processes for SQA. Software quality assurance plan. Software quality assurance team. Inspections. Product reviews. Walk-throughs and audits. Software quality metrics. Quality assurance in agile, iterative, and incremental development environments. Risk analysis and resolution. Costs associated with quality. Various effective (SQA) guidelines and standards. Software testing. Test Strategies. CMM, CMMI, ISO standards. | |||||||||||
| Assessment Criteria | |||||||||||
| Student Activities | Mid-Term Exam | Oral/Practical | Final Exam | ||||||||
| 20% | 20% | 20% | 40% | ||||||||
| CSE437 | Selected Topics in Software | 2 CH | |||||||||
| Prerequisites | |||||||||||
| Number of weekly Contact Hours | |||||||||||
| Lecture | Tutorial | Laboratory | |||||||||
| 2 Hours | 1 Hour | 1 Hour | |||||||||
| Required SWL | 125 | Equivalent ECTS | 5 | ||||||||
| Course Content | |||||||||||
| Selected topics in recent developments in computer software will be presented in this course. Course material will reflect the needs of the graduating students | |||||||||||
| Assessment Criteria | |||||||||||
| Student Activities | Mid-Term Exam | Oral/Practical | Final Exam | ||||||||
| 15% | 25% | 10% | 40% | ||||||||
| CSE437s | Selected Topics in Software | 2 CH | |||||||||
| Prerequisites | |||||||||||
| Number of weekly Contact Hours | |||||||||||
| Lecture | Tutorial | Laboratory | |||||||||
| 2 Hours | 1 Hour | 1 Hour | |||||||||
| Required SWL | 125 | Equivalent ECTS | 5 | ||||||||
| Course Content | |||||||||||
| Selected topics in recent developments in computer software will be presented in this course. Course material will reflect the needs of the graduating students | |||||||||||
| Used in Program / Level | |||||||||||
| Program Name or requirement | Study Level | Semester | |||||||||
| Computer and Systems Engineering |
4 | ||||||||||
| Assessment Criteria | |||||||||||
| Student Activities | Mid-Term Exam | Oral/Practical | Final Exam | ||||||||
| 10% | 20% | 10% | 60% | ||||||||
| CSE438 | Selected Topics in Software Product Lines | 3 CH | |||||||||
| Prerequisites | |||||||||||
| Number of weekly Contact Hours | |||||||||||
| Lecture | Tutorial | Laboratory | |||||||||
| 3 Hours | 1 Hour | 1 Hour | |||||||||
| Required SWL | 125 | Equivalent ECTS | 5 | ||||||||
| Course Content | |||||||||||
| Selected topics in recent directions in software product lines will be presented in this course. | |||||||||||
| Used in Program / Level | |||||||||||
| Program Name or requirement | Study Level | Semester | |||||||||
| Computer Engineering and Software Systems |
4 | ||||||||||
| Assessment Criteria | |||||||||||
| Student Activities | Mid-Term Exam | Oral/Practical | Final Exam | ||||||||
| 15% | 20% | 20% | 40% | ||||||||
| CSE438s | Selected Topics in Software Product Lines | 3 CH | |||||||||
| Prerequisites | |||||||||||
| Number of weekly Contact Hours | |||||||||||
| Lecture | Tutorial | Laboratory | |||||||||
| 3 Hours | 1 Hour | 1 Hour | |||||||||
| Required SWL | 125 | Equivalent ECTS | 5 | ||||||||
| Course Content | |||||||||||
| Selected topics in recent directions in software product lines will be presented in this course. | |||||||||||
| Assessment Criteria | |||||||||||
| Student Activities | Mid-Term Exam | Oral/Practical | Final Exam | ||||||||
| 20% | 20% | 20% | 40% | ||||||||
| CSE439 | Design of Compilers | 3 CH | |||||||||
| Prerequisites | ( CSE131 ) | ||||||||||
| Number of weekly Contact Hours | |||||||||||
| Lecture | Tutorial | Laboratory | |||||||||
| 2 Hours | 2 Hours | 0 Hours | |||||||||
| Required SWL | 125 | Equivalent ECTS | 5 | ||||||||
| Course Content | |||||||||||
| Fundamental concepts in automata theory and formal languages including grammar, deterministic and nondeterministic finite automata, regular expression, formal language, pushdown automaton, Turing machines, the halting problem, diagonalization and reduction, decidability, Rice’s theorem, P, NP, and NP-completeness. Systems software, compilers, interpreters. Byte-codes. Lexical analysis: interface with input, parser and symbol table, token, lexeme and patterns. Syntax analysis: context-free grammars, ambiguity, precedence, top-down parsing, recursive descent parsing, transformation on the grammars, predictive parsing. Bottom up parsing, operator precedence grammars, LR parsers. Regular expressions and semantics. Error detection, type-checking and run-time environments. Code generation, code optimizations, code improvement techniques. | |||||||||||
| Used in Program / Level | |||||||||||
| Program Name or requirement | Study Level | Semester | |||||||||
| Computer Engineering and Software Systems |
3 | 6 | |||||||||
| Assessment Criteria | |||||||||||
| Student Activities | Mid-Term Exam | Oral/Practical | Final Exam | ||||||||
| 35% | 20% | 0% | 40% | ||||||||
| CSE439s | Design of Compilers | 3 CH | |||||||||
| Prerequisites | ( CSE131s ) | ||||||||||
| Number of weekly Contact Hours | |||||||||||
| Lecture | Tutorial | Laboratory | |||||||||
| 2 Hours | 2 Hours | 0 Hours | |||||||||
| Required SWL | 125 | Equivalent ECTS | 5 | ||||||||
| Course Content | |||||||||||
| Fundamental concepts in automata theory and formal languages including grammar, deterministic and nondeterministic finite automata, regular expression, formal language, Systems software, compilers, interpreters. Lexical analysis: interface with input, parser and symbol table, token, lexeme and patterns. Syntax analysis: context-free grammars, ambiguity, precedence, top-down parsing, recursive descent parsing, transformation on the grammars, predictive parsing. Bottom up parsing, operator precedence grammars, LR parsers. Regular expressions and semantics. | |||||||||||
| Used in Program / Level | |||||||||||
| Program Name or requirement | Study Level | Semester | |||||||||
| Computer and Systems Engineering |
5 | 9 | |||||||||
| Assessment Criteria | |||||||||||
| Student Activities | Mid-Term Exam | Oral/Practical | Final Exam | ||||||||
| 20% | 20% | 0% | 60% | ||||||||
| CSE441 | Software Project Management | 2 CH | |||||||||
| Prerequisites | ( CSE334 ) | ||||||||||
| Number of weekly Contact Hours | |||||||||||
| Lecture | Tutorial | Laboratory | |||||||||
| 2 Hours | 1 Hour | 0 Hours | |||||||||
| Required SWL | 100 | Equivalent ECTS | 4 | ||||||||
| Course Content | |||||||||||
| The course introduces the methodologies and techniques for software project management both traditional and agile, this also includes scope, effort, risk estimation, plus scheduling and communication management of stakeholders. The course also includes several techniques and the student is introduced to different PM tools. | |||||||||||
| Used in Program / Level | |||||||||||
| Program Name or requirement | Study Level | Semester | |||||||||
| Computer Engineering and Software Systems |
9 | ||||||||||
| Assessment Criteria | |||||||||||
| Student Activities | Mid-Term Exam | Oral/Practical | Final Exam | ||||||||
| 35% | 20% | 0% | 40% | ||||||||
| CSE441s | Software Project Management | 2 CH | |||||||||
| Prerequisites | ( CSE334s ) | ||||||||||
| Number of weekly Contact Hours | |||||||||||
| Lecture | Tutorial | Laboratory | |||||||||
| 2 Hours | 1 Hour | 0 Hours | |||||||||
| Required SWL | 100 | Equivalent ECTS | 4 | ||||||||
| Course Content | |||||||||||
| The course introduces the methodologies and techniques for software project management both traditional and agile, this also includes scope, effort, risk estimation, plus scheduling and communication management of stakeholders. The course also includes several techniques and the student is introduced to different PM tools. | |||||||||||
| Used in Program / Level | |||||||||||
| Program Name or requirement | Study Level | Semester | |||||||||
| Computer and Systems Engineering |
5 | 9 | |||||||||
| Assessment Criteria | |||||||||||
| Student Activities | Mid-Term Exam | Oral/Practical | Final Exam | ||||||||
| 20% | 20% | 0% | 60% | ||||||||
| CSE351 | Computer Networks | 3 CH | |||||||||
| Prerequisites | |||||||||||
| Number of weekly Contact Hours | |||||||||||
| Lecture | Tutorial | Laboratory | |||||||||
| 2 Hours | 2 Hours | 0 Hours | |||||||||
| Required SWL | 125 | Equivalent ECTS | 5 | ||||||||
| Course Content | |||||||||||
| This course reflects the latest essential networking technologies with emphasis on wireless networking, including 802.11, 802.16, Bluetooth, and 3G/4G cellular, paired with fixed-network coverage of ADSL, Internet over cable, gigabit Ethernet, MLPS, and peer-to-peer networks, Fiber to the Home, RIFD, delay-tolerant networks, in addition to Internet routing, multicasting, congestion control, quality of service, real-time transport, and content distribution. Typically, a description is provided for the inner facets of Computer Networks, exploring their functionality from underlying hardware up to applications, in the following order: • Physical layer (e.g., copper, fibre, wireless, satellites, and Internet over cable) • Data link layer (e.g., protocol principles, protocol verification, HDLC, and PPP) • MAC Sublayer (e.g., gigabit Ethernet, 802.11, broadband wireless, and switching) • Network layer (e.g., routing algorithms, congestion control, QoS, IPv4, and IPv6) • Transport layer (e.g., socket programming, UDP, TCP, RTP, and network performance) • Application layer (e.g., e-mail, the Web, PHP, wireless Web, MP3, and streaming audio) The course dissects and depicts the principles associated with each layer then translates them through examples from networking, Internet, wireless networks, and software defined networks. | |||||||||||
| Used in Program / Level | |||||||||||
| Program Name or requirement | Study Level | Semester | |||||||||
| Computer Engineering and Software Systems |
3 | 7 | |||||||||
| Assessment Criteria | |||||||||||
| Student Activities | Mid-Term Exam | Oral/Practical | Final Exam | ||||||||
| 35% | 20% | 0% | 40% | ||||||||
| CSE351s | Computer Networks | 3 CH | |||||||||
| Prerequisites | (ECE252s) | ||||||||||
| Number of weekly Contact Hours | |||||||||||
| Lecture | Tutorial | Laboratory | |||||||||
| 2 Hours | 2 Hours | 0 Hours | |||||||||
| Required SWL | 125 | Equivalent ECTS | 5 | ||||||||
| Course Content | |||||||||||
| This course reflects the basic and essential networking technologies covering how different networks work, in addition to Internet routing, multicasting, congestion control, quality of service, real-time transport, and content distribution. Typically, a description is provided for the inner facets of Computer Networks, exploring their functionality from underlying hardware up to applications: Physical layer (e.g., copper, fiber, wireless, satellites, and Internet over cable) Data link layer (e.g., protocol principles, protocol verification, HDLC, and PPP) MAC Sublayer (e.g., gigabit Ethernet, 802.11, broadband wireless, and switching) Network layer (e.g., routing algorithms, congestion control, QoS, IPv4, and IPv6) Transport layer (e.g., UDP, TCP, RTP, and network performance) Application layer (e.g., e-mail, the Web, PHP, wireless Web, MP3, socket programming, and streaming audio) The course dissects and depicts the principles associated with each layer then translates them through examples from networking, Internet, wireless networks, and software defined networks. | |||||||||||
| Used in Program / Level | |||||||||||
| Program Name or requirement | Study Level | Semester | |||||||||
| Computer and Systems Engineering |
4 | 7 | |||||||||
| Assessment Criteria | |||||||||||
| Student Activities | Mid-Term Exam | Oral/Practical | Final Exam | ||||||||
| 20% | 20% | 0% | 60% | ||||||||
| CSE352 | Parallel and Distributed Systems | 3 CH | |||||||||
| Prerequisites | ( CSE351 ) | ||||||||||
| Number of weekly Contact Hours | |||||||||||
| Lecture | Tutorial | Laboratory | |||||||||
| 2 Hours | 2 Hours | 0 Hours | |||||||||
| Required SWL | 125 | Equivalent ECTS | 5 | ||||||||
| Course Content | |||||||||||
| Motivations for parallel programming. Instruction Level Parallelism (ILP). Parallel Random-Access Machines (PRAM). Cluster computing and grid computing. Message passing systems and applications. Message Passing Interface (MPI) and configuration of MPI cluster. MPI programming algorithms and implementation of PRAM through MPI. Peer-to-Peer (P2P) systems, mobile agents. GPUs, Multi-Core, Distributed file systems. Distributed coordination systems. Replication and consistency. Fault tolerance. Grid computing paradigm. Cloud computing: properties and characteristics, service models, deployment models. | |||||||||||
| Assessment Criteria | |||||||||||
| Student Activities | Mid-Term Exam | Oral/Practical | Final Exam | ||||||||
| 15% | 25% | 10% | 40% | ||||||||
| CSE352s | Parallel and Distributed Systems | 3 CH | |||||||||
| Prerequisites | ( CSE351s ) | ||||||||||
| Number of weekly Contact Hours | |||||||||||
| Lecture | Tutorial | Laboratory | |||||||||
| 2 Hours | 2 Hours | 0 Hours | |||||||||
| Required SWL | 125 | Equivalent ECTS | 5 | ||||||||
| Course Content | |||||||||||
| Motivations for parallel programming. Instruction Level Parallelism (ILP). Parallel Random-Access Machines (PRAM). Cluster computing and grid computing. Message passing systems and applications. Message Passing Interface (MPI) and configuration of MPI cluster. MPI programming algorithms and implementation of PRAM through MPI. Peer-to-Peer (P2P) systems, mobile agents. GPUs, Multi-Core, Distributed file systems. Distributed coordination systems. Replication and consistency. Fault tolerance. Grid computing paradigm. Cloud computing: properties and characteristics, service models, deployment models. | |||||||||||
| Used in Program / Level | |||||||||||
| Program Name or requirement | Study Level | Semester | |||||||||
| Computer and Systems Engineering |
4 | 2 | |||||||||
| Assessment Criteria | |||||||||||
| Student Activities | Mid-Term Exam | Oral/Practical | Final Exam | ||||||||
| 20% | 20% | 0% | 60% | ||||||||
| CSE353 | Industrial Networks | 3 CH | |||||||||
| Prerequisites | |||||||||||
| Number of weekly Contact Hours | |||||||||||
| Lecture | Tutorial | Laboratory | |||||||||
| 2 Hours | 2 Hours | 1 Hour | |||||||||
| Required SWL | 125 | Equivalent ECTS | 5 | ||||||||
| Course Content | |||||||||||
| The course is presented through a layered top-down approach starting from the application layer down to the physical layer, focusing on basic networking concepts and typical application layer examples. Focusing on the Internet and the fundamentally important issues of networking, this course provides a foundation for students interested in computer science and electrical engineering, without requiring extensive knowledge of programming or mathematics. A typical outline of the course goes by the following sequence: - Application layer (e.g., e-mail, the Web, PHP, wireless Web, MP3, and streaming audio) - Transport layer essentials and requirements. - Network layer functions and fundamentals of routing, congestion control, QoS, IPv4, and IPv6. - Data link layer and MAC Sublayer with emphasis on gigabit Ethernet, 802.11, broadband wireless, and switching. - Physical layer (e.g., copper, fibre, wireless, satellites, and Internet over cable) The course dissects and depicts the principles associated with each layer and then focuses on Fieldbus networks, Control Area Networks (CAN, LIN, FLEXRAY) and SCADA systems. | |||||||||||
| Assessment Criteria | |||||||||||
| Student Activities | Mid-Term Exam | Oral/Practical | Final Exam | ||||||||
| 15% | 25% | 10% | 40% | ||||||||
| CSE353s | Industrial Networks | 3 CH | |||||||||
| Prerequisites | |||||||||||
| Number of weekly Contact Hours | |||||||||||
| Lecture | Tutorial | Laboratory | |||||||||
| 2 Hours | 2 Hours | 1 Hour | |||||||||
| Required SWL | 125 | Equivalent ECTS | 5 | ||||||||
| Course Content | |||||||||||
| The course is presented through a layered top-down approach starting from the application layer down to the physical layer, focusing on basic networking concepts and typical application layer examples. Focusing on the Internet and the fundamentally important issues of networking, this course provides a foundation for students interested in computer science and electrical engineering, without requiring extensive knowledge of programming or mathematics. A typical outline of the course goes by the following sequence: - Application layer (e.g., e-mail, the Web, PHP, wireless Web, MP3, and streaming audio) - Transport layer essentials and requirements. - Network layer functions and fundamentals of routing, congestion control, QoS, IPv4, and IPv6. - Data link layer and MAC Sublayer with emphasis on gigabit Ethernet, 802.11, broadband wireless, and switching. - Physical layer (e.g., copper, fibre, wireless, satellites, and Internet over cable) The course dissects and depicts the principles associated with each layer and then focuses on Fieldbus networks, Control Area Networks (CAN, LIN, FLEXRAY) and SCADA systems. | |||||||||||
| Used in Program / Level | |||||||||||
| Program Name or requirement | Study Level | Semester | |||||||||
| General Electrical Engineering |
2 | ||||||||||
| Mechatronics Engineering |
4 | ||||||||||
| Electrical Power and Machines Engineering |
3 | 6 | |||||||||
| Assessment Criteria | |||||||||||
| Student Activities | Mid-Term Exam | Oral/Practical | Final Exam | ||||||||
| 10% | 20% | 10% | 60% | ||||||||
| CSE354 | Distributed Computing | 3 CH | |||||||||
| Prerequisites | ( CSE231 ) AND ( CSE351 ) | ||||||||||
| Number of weekly Contact Hours | |||||||||||
| Lecture | Tutorial | Laboratory | |||||||||
| 2 Hours | 2 Hours | 1 Hour | |||||||||
| Required SWL | 100 | Equivalent ECTS | 4 | ||||||||
| Course Content | |||||||||||
| Overview of distributed computing. Client-server paradigm: protocols, simple client-server messaging systems, remote procedure calls, remote method invocation, remote object invocation systems. Message-oriented middleware systems. Advanced messaging systems: transient, persistent. Naming: flat, structured, attribute-based. Distributed processes. Distributed synchronization. Peer-to-Peer (P2P) systems, mobile agents. P2P with mobile agents. Distributed file systems. Distributed coordination systems. Distributed document (web) systems. Replication and consistency. Fault tolerance. Web services (WSDL, XML, UDDI). Grid computing: grid computing middleware, resource management and scheduling, grid portals, data management, grid security, grid services, grid-enabled applications. | |||||||||||
| Used in Program / Level | |||||||||||
| Program Name or requirement | Study Level | Semester | |||||||||
| Computer Engineering and Software Systems |
3 | ||||||||||
| Assessment Criteria | |||||||||||
| Student Activities | Mid-Term Exam | Oral/Practical | Final Exam | ||||||||
| 15% | 20% | 20% | 40% | ||||||||
| CSE354s | Distributed Computing | 3 CH | |||||||||
| Prerequisites | ( CSE231s ) AND ( CSE351s ) | ||||||||||
| Number of weekly Contact Hours | |||||||||||
| Lecture | Tutorial | Laboratory | |||||||||
| 2 Hours | 2 Hours | 1 Hour | |||||||||
| Required SWL | 100 | Equivalent ECTS | 4 | ||||||||
| Course Content | |||||||||||
| Overview of distributed computing. Client-server paradigm: protocols, simple client-server messaging systems, remote procedure calls, remote method invocation, remote object invocation systems. Message-oriented middleware systems. Advanced messaging systems: transient, persistent. Naming: flat, structured, attribute-based. Distributed processes. Distributed synchronization. Peer-to-Peer (P2P) systems, mobile agents. P2P with mobile agents. Distributed file systems. Distributed coordination systems. Distributed document (web) systems. Replication and consistency. Fault tolerance. Web services (WSDL, XML, UDDI). Grid computing: grid computing middleware, resource management and scheduling, grid portals, data management, grid security, grid services, grid-enabled applications. | |||||||||||
| Assessment Criteria | |||||||||||
| Student Activities | Mid-Term Exam | Oral/Practical | Final Exam | ||||||||
| 20% | 20% | 20% | 40% | ||||||||
| CSE355 | Parallel and Distributed Algorithms | 2 CH | |||||||||
| Prerequisites | ( CSE332 ) | ||||||||||
| Number of weekly Contact Hours | |||||||||||
| Lecture | Tutorial | Laboratory | |||||||||
| 2 Hours | 1 Hour | 1 Hour | |||||||||
| Required SWL | 125 | Equivalent ECTS | 5 | ||||||||
| Course Content | |||||||||||
| Introduction. Parallel versus distributed algorithms. Message passing and shared memory. Parallel algorithm design: parallel graph algorithms, parallel searching and sorting algorithms. Parallel computational algorithms. Basic distributed problems and protocols. Synchronous computation: communicators, pipeline, transformers, waiting, guessing, synchronous problems. Algorithms in systems with no failures. Election: election in trees, rings, mesh networks, cube networks, and complete networks, universal election protocols. Message routing: shortest path routing, coping with changes, routing in static systems. Distributed set operations: distributed selection, distributed sorting. Stable properties detection. Continuous computations. Computing in presence of faults: faults and failure, modelling faults, the crushing impact failure, localized entity and link failures, ubiquitous faults. Failure detectors. Parallel and distributed matrix algorithms. Optimization in parallel and distributed algorithms. Complexity analysis of distributed and parallel algorithms. Applications. | |||||||||||
| Used in Program / Level | |||||||||||
| Program Name or requirement | Study Level | Semester | |||||||||
| Computer Engineering and Software Systems |
4 | ||||||||||
| Assessment Criteria | |||||||||||
| Student Activities | Mid-Term Exam | Oral/Practical | Final Exam | ||||||||
| 15% | 20% | 20% | 40% | ||||||||
| CSE355s | Parallel and Distributed Algorithms | 2 CH | |||||||||
| Prerequisites | ( CSE332s ) | ||||||||||
| Number of weekly Contact Hours | |||||||||||
| Lecture | Tutorial | Laboratory | |||||||||
| 2 Hours | 1 Hour | 1 Hour | |||||||||
| Required SWL | 125 | Equivalent ECTS | 5 | ||||||||
| Course Content | |||||||||||
| Introduction. Parallel versus distributed algorithms. Message passing and shared memory. Parallel algorithm design: parallel graph algorithms, parallel searching and sorting algorithms. Parallel computational algorithms. Basic distributed problems and protocols. Synchronous computation: communicators, pipeline, transformers, waiting, guessing, synchronous problems. Algorithms in systems with no failures. Election: election in trees, rings, mesh networks, cube networks, and complete networks, universal election protocols. Message routing: shortest path routing, coping with changes, routing in static systems. Distributed set operations: distributed selection, distributed sorting. Stable properties detection. Continuous computations. Computing in presence of faults: faults and failure, modelling faults, the crushing impact failure, localized entity and link failures, ubiquitous faults. Failure detectors. Parallel and distributed matrix algorithms. Optimization in parallel and distributed algorithms. Complexity analysis of distributed and parallel algorithms. Applications. | |||||||||||
| Assessment Criteria | |||||||||||
| Student Activities | Mid-Term Exam | Oral/Practical | Final Exam | ||||||||
| 20% | 20% | 20% | 40% | ||||||||
| CSE356 | Internet of Things | 2 CH | |||||||||
| Prerequisites | ( CSE354 ) | ||||||||||
| Number of weekly Contact Hours | |||||||||||
| Lecture | Tutorial | Laboratory | |||||||||
| 2 Hours | 1 Hour | 1 Hour | |||||||||
| Required SWL | 125 | Equivalent ECTS | 5 | ||||||||
| Course Content | |||||||||||
| Introduction. Concepts and architecture. Connected devices. Managing IoT resources in the cloud. Fog computing. Programming frameworks. Virtualization on Embedded boards. Collecting and managing data. Reliability, privacy, and security. IoT applications. | |||||||||||
| Used in Program / Level | |||||||||||
| Program Name or requirement | Study Level | Semester | |||||||||
| Computer Engineering and Software Systems |
4 | ||||||||||
| Assessment Criteria | |||||||||||
| Student Activities | Mid-Term Exam | Oral/Practical | Final Exam | ||||||||
| 15% | 20% | 20% | 40% | ||||||||
| CSE356s | Internet of Things | 2 CH | |||||||||
| Prerequisites | ( CSE354s ) | ||||||||||
| Number of weekly Contact Hours | |||||||||||
| Lecture | Tutorial | Laboratory | |||||||||
| 2 Hours | 1 Hour | 1 Hour | |||||||||
| Required SWL | 125 | Equivalent ECTS | 5 | ||||||||
| Course Content | |||||||||||
| Introduction. Concepts and architecture. Connected devices. Managing IoT resources in the cloud. Fog computing. Programming frameworks. Virtualization on Embedded boards. Collecting and managing data. Reliability, privacy, and security. IoT applications. | |||||||||||
| Assessment Criteria | |||||||||||
| Student Activities | Mid-Term Exam | Oral/Practical | Final Exam | ||||||||
| 20% | 20% | 20% | 40% | ||||||||
| CSE357 | Networks Operation and Management | 2 CH | |||||||||
| Prerequisites | ( CSE351 ) | ||||||||||
| Number of weekly Contact Hours | |||||||||||
| Lecture | Tutorial | Laboratory | |||||||||
| 2 Hours | 2 Hours | 0 Hours | |||||||||
| Required SWL | 125 | Equivalent ECTS | 5 | ||||||||
| Course Content | |||||||||||
| Network management: goals, organization and functions. Basic foundations: standards, models and languages. Simple network management protocol (SNMP). SNMPvA organization and information models. SNMPvA communication and functional models. SNMPv2. SNMPv3. Remote monitoring (RMON). Network management applications. | |||||||||||
| Used in Program / Level | |||||||||||
| Program Name or requirement | Study Level | Semester | |||||||||
| Computer Engineering and Software Systems |
3 | ||||||||||
| Assessment Criteria | |||||||||||
| Student Activities | Mid-Term Exam | Oral/Practical | Final Exam | ||||||||
| 35% | 20% | 0% | 40% | ||||||||
| CSE357s | Networks Operation and Management | 2 CH | |||||||||
| Prerequisites | ( CSE351s ) | ||||||||||
| Number of weekly Contact Hours | |||||||||||
| Lecture | Tutorial | Laboratory | |||||||||
| 2 Hours | 1 Hour | 1 Hour | |||||||||
| Required SWL | 125 | Equivalent ECTS | 5 | ||||||||
| Course Content | |||||||||||
| Network management: goals, organization and functions. Basic foundations: standards, models and languages. Simple network management protocol (SNMP). SNMPvA organization and information models. SNMPvA communication and functional models. SNMPv2. SNMPv3. Remote monitoring (RMON). Network management applications. | |||||||||||
| Used in Program / Level | |||||||||||
| Program Name or requirement | Study Level | Semester | |||||||||
| Computer and Systems Engineering |
3 | ||||||||||
| Assessment Criteria | |||||||||||
| Student Activities | Mid-Term Exam | Oral/Practical | Final Exam | ||||||||
| 10% | 20% | 10% | 60% | ||||||||
| CSE358 | Pervasive Computing and Internet of Things | 2 CH | |||||||||
| Prerequisites | ( CSE231 ) | ||||||||||
| Number of weekly Contact Hours | |||||||||||
| Lecture | Tutorial | Laboratory | |||||||||
| 2 Hours | 2 Hours | 0 Hours | |||||||||
| Required SWL | 125 | Equivalent ECTS | 5 | ||||||||
| Course Content | |||||||||||
| Ubiquitous data access. Exploiting virtual machines. Resource-driven dynamic adaptation. Sensing and actuation: smart sensors and actuators, smart appliances. Mobile hardware technologies. Information access devices. Smart identification: smart cards, smart labels, smart tokens. Home networking. Entertainment systems. Pervasive computing platforms and software: Java cards, iOS, Android, Windows-based platforms. Client middleware: smart card programming, messaging components. Security and privacy in mobile and pervasive systems. Mobile internet. Web services: service discovery, location and context awareness. Backend server infrastructure: Gateways, application servers, Internet portals, device management, synchronization. Mobile and ubiquitous services: home services, travel and business services, consumer services. Design methodologies and infrastructure. End-to-end application considerations. | |||||||||||
| Assessment Criteria | |||||||||||
| Student Activities | Mid-Term Exam | Oral/Practical | Final Exam | ||||||||
| 15% | 25% | 10% | 40% | ||||||||
| CSE358s | Pervasive Computing and Internet of Things | 2 CH | |||||||||
| Prerequisites | ( CSE231s ) | ||||||||||
| Number of weekly Contact Hours | |||||||||||
| Lecture | Tutorial | Laboratory | |||||||||
| 2 Hours | 1 Hour | 1 Hour | |||||||||
| Required SWL | 125 | Equivalent ECTS | 5 | ||||||||
| Course Content | |||||||||||
| Ubiquitous data access. Exploiting virtual machines. Resource-driven dynamic adaptation. Sensing and actuation: smart sensors and actuators, smart appliances. Mobile hardware technologies. Information access devices. Smart identification: smart cards, smart labels, smart tokens. Home networking. Entertainment systems. Pervasive computing platforms and software: Java cards, iOS, Android, Windows-based platforms. Client middleware: smart card programming, messaging components. Security and privacy in mobile and pervasive systems. Mobile internet. Web services: service discovery, location and context awareness. Backend server infrastructure: Gateways, application servers, Internet portals, device management, synchronization. Mobile and ubiquitous services: home services, travel and business services, consumer services. Design methodologies and infrastructure. End-to-end application considerations. | |||||||||||
| Used in Program / Level | |||||||||||
| Program Name or requirement | Study Level | Semester | |||||||||
| Computer and Systems Engineering |
3 | ||||||||||
| General Electrical Engineering |
3 | ||||||||||
| Assessment Criteria | |||||||||||
| Student Activities | Mid-Term Exam | Oral/Practical | Final Exam | ||||||||
| 10% | 20% | 10% | 60% | ||||||||
| CSE451 | Computer and Network Security | 3 CH | |||||||||
| Prerequisites | ( CSE351 ) | ||||||||||
| Number of weekly Contact Hours | |||||||||||
| Lecture | Tutorial | Laboratory | |||||||||
| 2 Hours | 1 Hour | 1 Hour | |||||||||
| Required SWL | 125 | Equivalent ECTS | 5 | ||||||||
| Course Content | |||||||||||
| Attacks and threats, symmetric key cryptography, public key cryptography, authentication protocols, digital signature, viruses, worms, Trojan horses, malicious programs, computer crimes, web-security, firewalls, intrusion detection, TLS, IPSec, SET, digital homeland security, offensive and defensive tools, security issues in wireless technologies and mobile computing, ethics and hacking in laws. | |||||||||||
| Used in Program / Level | |||||||||||
| Program Name or requirement | Study Level | Semester | |||||||||
| Computer Engineering and Software Systems |
4 | 10 | |||||||||
| Assessment Criteria | |||||||||||
| Student Activities | Mid-Term Exam | Oral/Practical | Final Exam | ||||||||
| 25% | 20% | 10% | 40% | ||||||||
| CSE451s | Computer and Network Security | 3 CH | |||||||||
| Prerequisites | ( CSE351s ) | ||||||||||
| Number of weekly Contact Hours | |||||||||||
| Lecture | Tutorial | Laboratory | |||||||||
| 2 Hours | 1 Hour | 1 Hour | |||||||||
| Required SWL | 125 | Equivalent ECTS | 5 | ||||||||
| Course Content | |||||||||||
| Attacks and threats, symmetric key cryptography, public key cryptography, authentication protocols, digital signature, viruses, worms, Trojan horses, malicious programs, computer crimes, web-security, firewalls, intrusion detection, TLS, IPSec, SET, digital homeland security, offensive and defensive tools, security issues in wireless technologies and mobile computing, ethics and hacking in laws. | |||||||||||
| Used in Program / Level | |||||||||||
| Program Name or requirement | Study Level | Semester | |||||||||
| Computer and Systems Engineering |
5 | 9 | |||||||||
| Assessment Criteria | |||||||||||
| Student Activities | Mid-Term Exam | Oral/Practical | Final Exam | ||||||||
| 10% | 20% | 10% | 60% | ||||||||
| CSE452 | Wireless Networks | 2 CH | |||||||||
| Prerequisites | ( CSE351 ) | ||||||||||
| Number of weekly Contact Hours | |||||||||||
| Lecture | Tutorial | Laboratory | |||||||||
| 2 Hours | 2 Hours | 0 Hours | |||||||||
| Required SWL | 125 | Equivalent ECTS | 5 | ||||||||
| Course Content | |||||||||||
| The objective of this course is to give an introduction to the fundamentals of the wireless communications systems, the wireless network architectures, protocols, and applications. Topics of study include an overview of wireless communications and mobile computing systems, signal propagation characteristics of wireless channels, wireless channel modelling, frequency reuse/cellular/microcellular concepts, spread-spectrum modulation for wireless systems, multiple access techniques, and wireless networking standards (e.g., 2.5G, 3G, 4G/LTE, IEEE 802.11, IEEE 802.15, IEEE 802.16/WiMAX). MANETS, WSNs, VANETS are typical wireless networks that are accorded focus on their characteristics and applications. | |||||||||||
| Assessment Criteria | |||||||||||
| Student Activities | Mid-Term Exam | Oral/Practical | Final Exam | ||||||||
| 15% | 25% | 10% | 40% | ||||||||
| CSE452s | Wireless Networks | 2 CH | |||||||||
| Prerequisites | ( CSE351s ) | ||||||||||
| Number of weekly Contact Hours | |||||||||||
| Lecture | Tutorial | Laboratory | |||||||||
| 2 Hours | 1 Hour | 1 Hour | |||||||||
| Required SWL | 125 | Equivalent ECTS | 5 | ||||||||
| Course Content | |||||||||||
| The objective of this course is to give an introduction to the fundamentals of the wireless communications systems, the wireless network architectures, protocols, and applications. Topics of study include an overview of wireless communications and mobile computing systems, signal propagation characteristics of wireless channels, wireless channel modelling, frequency reuse/cellular/microcellular concepts, spread-spectrum modulation for wireless systems, multiple access techniques, and wireless networking standards (e.g., 2.5G, 3G, 4G/LTE, IEEE 802.11, IEEE 802.15, IEEE 802.16/WiMAX). MANETS, WSNs, VANETS are typical wireless networks that are accorded focus on their characteristics and applications. | |||||||||||
| Used in Program / Level | |||||||||||
| Program Name or requirement | Study Level | Semester | |||||||||
| Computer and Systems Engineering |
4 | ||||||||||
| Assessment Criteria | |||||||||||
| Student Activities | Mid-Term Exam | Oral/Practical | Final Exam | ||||||||
| 10% | 20% | 10% | 60% | ||||||||
| CSE453 | Digital Forensics | 2 CH | |||||||||
| Prerequisites | ( CSE451 ) | ||||||||||
| Number of weekly Contact Hours | |||||||||||
| Lecture | Tutorial | Laboratory | |||||||||
| 2 Hours | 1 Hour | 1 Hour | |||||||||
| Required SWL | 125 | Equivalent ECTS | 5 | ||||||||
| Course Content | |||||||||||
| Concepts of digital forensics. Computer investigations using digital evidence controls. Crime and incident scenes. Computer forensic analysis. E-mail investigations. Image file recovery. Incident response. Recovery of digital evidence. Testimony on evidence. Computer forensics tools. Best practices for processing crime and incident scenes. Digital evidence controls. Best practices for data discovery, recovery, and acquisition. Network forensic analysis. Investigative report writing. | |||||||||||
| Assessment Criteria | |||||||||||
| Student Activities | Mid-Term Exam | Oral/Practical | Final Exam | ||||||||
| 15% | 25% | 10% | 40% | ||||||||
| CSE453s | Digital Forensics | 2 CH | |||||||||
| Prerequisites | ( CSE451s ) | ||||||||||
| Number of weekly Contact Hours | |||||||||||
| Lecture | Tutorial | Laboratory | |||||||||
| 2 Hours | 1 Hour | 1 Hour | |||||||||
| Required SWL | 125 | Equivalent ECTS | 5 | ||||||||
| Course Content | |||||||||||
| Concepts of digital forensics. Computer investigations using digital evidence controls. Crime and incident scenes. Computer forensic analysis. E-mail investigations. Image file recovery. Incident response. Recovery of digital evidence. Testimony on evidence. Computer forensics tools. Best practices for processing crime and incident scenes. Digital evidence controls. Best practices for data discovery, recovery, and acquisition. Network forensic analysis. Investigative report writing. | |||||||||||
| Used in Program / Level | |||||||||||
| Program Name or requirement | Study Level | Semester | |||||||||
| Computer and Systems Engineering |
4 | ||||||||||
| Assessment Criteria | |||||||||||
| Student Activities | Mid-Term Exam | Oral/Practical | Final Exam | ||||||||
| 10% | 20% | 10% | 60% | ||||||||
| CSE454 | Quantum Communication and Security | 2 CH | |||||||||
| Prerequisites | ( CSE351 ) | ||||||||||
| Number of weekly Contact Hours | |||||||||||
| Lecture | Tutorial | Laboratory | |||||||||
| 2 Hours | 2 Hours | 0 Hours | |||||||||
| Required SWL | 125 | Equivalent ECTS | 5 | ||||||||
| Course Content | |||||||||||
| Quantum Computing, QUBITS, Postulates of Quantum Mechanics, Quantum Information, No Cloning, Quantum Algorithms: Basic algorithms, period finding, Quantum FT, Quantum Communication, Quantum Key Distribution, Quantum Secure Communication, Quantum Attacks, Post-Quantum Cryptography, Implementation Issues | |||||||||||
| Assessment Criteria | |||||||||||
| Student Activities | Mid-Term Exam | Oral/Practical | Final Exam | ||||||||
| 15% | 25% | 10% | 40% | ||||||||
| CSE454s | Quantum Communication and Security | 2 CH | |||||||||
| Prerequisites | |||||||||||
| Number of weekly Contact Hours | |||||||||||
| Lecture | Tutorial | Laboratory | |||||||||
| 2 Hours | 1 Hour | 1 Hour | |||||||||
| Required SWL | 125 | Equivalent ECTS | 5 | ||||||||
| Course Content | |||||||||||
| Quantum Computing, QUBITS, Postulates of Quantum Mechanics, Quantum Information, No Cloning, Quantum Algorithms: Basic algorithms, period finding, Quantum FT, Quantum Communication, Quantum Key Distribution, Quantum Secure Communication, Quantum Attacks, Post-Quantum Cryptography, Implementation Issues | |||||||||||
| Used in Program / Level | |||||||||||
| Program Name or requirement | Study Level | Semester | |||||||||
| Computer and Systems Engineering |
5 | 1 | |||||||||
| Assessment Criteria | |||||||||||
| Student Activities | Mid-Term Exam | Oral/Practical | Final Exam | ||||||||
| 10% | 20% | 10% | 60% | ||||||||
| CSE455 | High-Performance Computing | 2 CH | |||||||||
| Prerequisites | ( CSE112 OR CSE212 ) | ||||||||||
| Number of weekly Contact Hours | |||||||||||
| Lecture | Tutorial | Laboratory | |||||||||
| 2 Hours | 2 Hours | 0 Hours | |||||||||
| Required SWL | 125 | Equivalent ECTS | 5 | ||||||||
| Course Content | |||||||||||
| Overview of existing HPC software and hardware. Basic software design patterns for high performance parallel computing. CUDA for parallel computing on the Graphics Processing Unit (GPU). Message Passing Interface (MPI) parallel programming. OpenMP and POSIX threads solution to enable parallelism across multiple CPU cores. Standard algorithms utilizing parallelism. Matrix and vector operations. Collective communications. The use of Graphics Processing Units (GPUs) for general purpose computations (GPGPU). Multi-GPU and Multi-CPU solutions. Optimizing HPC-based programs. Designing GPU-based systems. Applications. | |||||||||||
| Used in Program / Level | |||||||||||
| Program Name or requirement | Study Level | Semester | |||||||||
| Computer Engineering and Software Systems |
4 | 10 | |||||||||
| Computer Engineering and Software Systems |
4 | 8 | |||||||||
| Assessment Criteria | |||||||||||
| Student Activities | Mid-Term Exam | Oral/Practical | Final Exam | ||||||||
| 35% | 20% | 0% | 40% | ||||||||
| CSE455s | High-Performance Computing | 2 CH | |||||||||
| Prerequisites | ( CSE112s OR CSE212s ) | ||||||||||
| Number of weekly Contact Hours | |||||||||||
| Lecture | Tutorial | Laboratory | |||||||||
| 2 Hours | 1 Hour | 1 Hour | |||||||||
| Required SWL | 125 | Equivalent ECTS | 5 | ||||||||
| Course Content | |||||||||||
| Overview of existing HPC software and hardware. Basic software design patterns for high performance parallel computing. CUDA for parallel computing on the Graphics Processing Unit (GPU). Message Passing Interface (MPI) parallel programming. OpenMP and POSIX threads solution to enable parallelism across multiple CPU cores. Standard algorithms utilizing parallelism. Matrix and vector operations. Collective communications. The use of Graphics Processing Units (GPUs) for general purpose computations (GPGPU). Multi-GPU and Multi-CPU solutions. Optimizing HPC-based programs. Designing GPU-based systems. Applications. | |||||||||||
| Used in Program / Level | |||||||||||
| Program Name or requirement | Study Level | Semester | |||||||||
| Computer and Systems Engineering |
4 | ||||||||||
| Assessment Criteria | |||||||||||
| Student Activities | Mid-Term Exam | Oral/Practical | Final Exam | ||||||||
| 10% | 20% | 10% | 60% | ||||||||
| CSE456 | Cloud Computing | 3 CH | |||||||||
| Prerequisites | ( CSE354 ) | ||||||||||
| Number of weekly Contact Hours | |||||||||||
| Lecture | Tutorial | Laboratory | |||||||||
| 3 Hours | 1 Hour | 1 Hour | |||||||||
| Required SWL | 125 | Equivalent ECTS | 5 | ||||||||
| Course Content | |||||||||||
| Key cloud computing concepts. Cloud computing properties and characteristics, service models, deployment models. Cloud computing models, techniques, and architectures. Infrastructure as a Service (IaaS): resource virtualization, server, storage, network. Platform as a Service (PaaS): Cloud platform and management: computation, storage, case studies. Software as a Service (SaaS): web services, web OS, Case studies. Cloud-based software systems. Advanced web technologies. Cloud issues: provider lock-in, security. Key cloud service providers and platforms. Creating own cloud services. Cloud deployment and service models, cloud infrastructure, migration to cloud computing environments. Traditional, virtualized, and cloud data centre environments. Storage, networking, desktop, and application virtualization. Backup and recovery, security, and management of cloud computing systems. | |||||||||||
| Used in Program / Level | |||||||||||
| Program Name or requirement | Study Level | Semester | |||||||||
| Computer Engineering and Software Systems |
4 | ||||||||||
| Assessment Criteria | |||||||||||
| Student Activities | Mid-Term Exam | Oral/Practical | Final Exam | ||||||||
| 15% | 20% | 20% | 40% | ||||||||
| CSE456s | Cloud Computing | 3 CH | |||||||||
| Prerequisites | ( CSE354s ) | ||||||||||
| Number of weekly Contact Hours | |||||||||||
| Lecture | Tutorial | Laboratory | |||||||||
| 3 Hours | 1 Hour | 1 Hour | |||||||||
| Required SWL | 125 | Equivalent ECTS | 5 | ||||||||
| Course Content | |||||||||||
| Key cloud computing concepts. Cloud computing properties and characteristics, service models, deployment models. Cloud computing models, techniques, and architectures. Infrastructure as a Service (IaaS): resource virtualization, server, storage, network. Platform as a Service (PaaS): Cloud platform and management: computation, storage, case studies. Software as a Service (SaaS): web services, web OS, Case studies. Cloud-based software systems. Advanced web technologies. Cloud issues: provider lock-in, security. Key cloud service providers and platforms. Creating own cloud services. Cloud deployment and service models, cloud infrastructure, migration to cloud computing environments. Traditional, virtualized, and cloud data centre environments. Storage, networking, desktop, and application virtualization. Backup and recovery, security, and management of cloud computing systems. | |||||||||||
| Assessment Criteria | |||||||||||
| Student Activities | Mid-Term Exam | Oral/Practical | Final Exam | ||||||||
| 20% | 20% | 20% | 40% | ||||||||
| CSE457 | Mobile and Wireless Networks | 3 CH | |||||||||
| Prerequisites | ( CSE351 ) | ||||||||||
| Number of weekly Contact Hours | |||||||||||
| Lecture | Tutorial | Laboratory | |||||||||
| 3 Hours | 1 Hour | 1 Hour | |||||||||
| Required SWL | 125 | Equivalent ECTS | 5 | ||||||||
| Course Content | |||||||||||
| Wireless networking fundamentals. Wireless technologies. Global System for Mobile communication (GSM). Code Division Multiple Access (CDMA). Short Message Service (SMS). General Packet Radio Service (GPRS). Wireless Application Protocol (WAP). IP Multimedia Subsystem (IMS). Multimedia Messaging Service (MMS). Geolocation and Global Positioning System (GPS). Cellular Wireless Networks: 1G, 2G, 3G, 4G, future of cellular wireless networks. Wireless medium access control. Wireless LANs and IEEE 802.11. Bluetooth and WPANs. Zigbee/802.15.4. Wi-Fi/Bluetooth/Zigbee coexistence. Ad hoc networks. Wireless and mobile routing protocols for ad hoc networks. Wireless and mobile routing in the Internet: mobile IP, DHCP, NAT. Wireless sensor and mesh networks. Performance improvements for TCP in wireless networks. Wireless network security. | |||||||||||
| Used in Program / Level | |||||||||||
| Program Name or requirement | Study Level | Semester | |||||||||
| Computer Engineering and Software Systems |
4 | ||||||||||
| Assessment Criteria | |||||||||||
| Student Activities | Mid-Term Exam | Oral/Practical | Final Exam | ||||||||
| 15% | 20% | 20% | 40% | ||||||||
| CSE457s | Mobile and Wireless Networks | 3 CH | |||||||||
| Prerequisites | ( CSE351s ) | ||||||||||
| Number of weekly Contact Hours | |||||||||||
| Lecture | Tutorial | Laboratory | |||||||||
| 3 Hours | 1 Hour | 1 Hour | |||||||||
| Required SWL | 125 | Equivalent ECTS | 5 | ||||||||
| Course Content | |||||||||||
| Wireless networking fundamentals. Wireless technologies. Global System for Mobile communication (GSM). Code Division Multiple Access (CDMA). Short Message Service (SMS). General Packet Radio Service (GPRS). Wireless Application Protocol (WAP). IP Multimedia Subsystem (IMS). Multimedia Messaging Service (MMS). Geolocation and Global Positioning System (GPS). Cellular Wireless Networks: 1G, 2G, 3G, 4G, future of cellular wireless networks. Wireless medium access control. Wireless LANs and IEEE 802.11. Bluetooth and WPANs. Zigbee/802.15.4. Wi-Fi/Bluetooth/Zigbee coexistence. Ad hoc networks. Wireless and mobile routing protocols for ad hoc networks. Wireless and mobile routing in the Internet: mobile IP, DHCP, NAT. Wireless sensor and mesh networks. Performance improvements for TCP in wireless networks. Wireless network security. | |||||||||||
| Assessment Criteria | |||||||||||
| Student Activities | Mid-Term Exam | Oral/Practical | Final Exam | ||||||||
| 20% | 20% | 20% | 40% | ||||||||
| CSE458 | Computer and Network Forensics | 3 CH | |||||||||
| Prerequisites | ( CSE451 ) | ||||||||||
| Number of weekly Contact Hours | |||||||||||
| Lecture | Tutorial | Laboratory | |||||||||
| 3 Hours | 1 Hour | 1 Hour | |||||||||
| Required SWL | 125 | Equivalent ECTS | 5 | ||||||||
| Course Content | |||||||||||
| Concepts of computer and network forensics. Computer investigations using digital evidence controls. Crime and incident scenes. Computer forensic analysis. E-mail investigations. Image file recovery. Incident response. Recovery of digital evidence. Testimony on evidence. Computer forensics tools. Best practices for processing crime and incident scenes. Digital evidence controls. Best practices for data discovery, recovery, and acquisition. Network forensic analysis. Investigative report writing. | |||||||||||
| Used in Program / Level | |||||||||||
| Program Name or requirement | Study Level | Semester | |||||||||
| Computer Engineering and Software Systems |
4 | ||||||||||
| Assessment Criteria | |||||||||||
| Student Activities | Mid-Term Exam | Oral/Practical | Final Exam | ||||||||
| 15% | 20% | 20% | 40% | ||||||||
| CSE458s | Computer and Network Forensics | 3 CH | |||||||||
| Prerequisites | ( CSE451s ) | ||||||||||
| Number of weekly Contact Hours | |||||||||||
| Lecture | Tutorial | Laboratory | |||||||||
| 3 Hours | 1 Hour | 1 Hour | |||||||||
| Required SWL | 125 | Equivalent ECTS | 5 | ||||||||
| Course Content | |||||||||||
| Concepts of computer and network forensics. Computer investigations using digital evidence controls. Crime and incident scenes. Computer forensic analysis. E-mail investigations. Image file recovery. Incident response. Recovery of digital evidence. Testimony on evidence. Computer forensics tools. Best practices for processing crime and incident scenes. Digital evidence controls. Best practices for data discovery, recovery, and acquisition. Network forensic analysis. Investigative report writing. | |||||||||||
| Assessment Criteria | |||||||||||
| Student Activities | Mid-Term Exam | Oral/Practical | Final Exam | ||||||||
| 20% | 20% | 20% | 40% | ||||||||
| CSE459 | Selected Topics in Networks and Security | 2 CH | |||||||||
| Prerequisites | |||||||||||
| Number of weekly Contact Hours | |||||||||||
| Lecture | Tutorial | Laboratory | |||||||||
| 2 Hours | 2 Hours | 0 Hours | |||||||||
| Required SWL | 125 | Equivalent ECTS | 5 | ||||||||
| Course Content | |||||||||||
| Selected topics in recent developments in computer networks and security will be presented in this course. Course material will reflect the needs of the graduating students | |||||||||||
| Assessment Criteria | |||||||||||
| Student Activities | Mid-Term Exam | Oral/Practical | Final Exam | ||||||||
| 15% | 25% | 10% | 40% | ||||||||
| CSE459s | Selected Topics in Networks and Security | 2 CH | |||||||||
| Prerequisites | |||||||||||
| Number of weekly Contact Hours | |||||||||||
| Lecture | Tutorial | Laboratory | |||||||||
| 2 Hours | 1 Hour | 1 Hour | |||||||||
| Required SWL | 125 | Equivalent ECTS | 5 | ||||||||
| Course Content | |||||||||||
| Selected topics in recent developments in computer networks and security will be presented in this course. Course material will reflect the needs of the graduating students | |||||||||||
| Used in Program / Level | |||||||||||
| Program Name or requirement | Study Level | Semester | |||||||||
| Computer and Systems Engineering |
4 | ||||||||||
| Assessment Criteria | |||||||||||
| Student Activities | Mid-Term Exam | Oral/Practical | Final Exam | ||||||||
| 10% | 20% | 10% | 60% | ||||||||
| CSE461 | Selected Topics in Distributed & Mobile Computing | 3 CH | |||||||||
| Prerequisites | |||||||||||
| Number of weekly Contact Hours | |||||||||||
| Lecture | Tutorial | Laboratory | |||||||||
| 3 Hours | 1 Hour | 1 Hour | |||||||||
| Required SWL | 125 | Equivalent ECTS | 5 | ||||||||
| Course Content | |||||||||||
| Overview of cybersecurity concepts Importance of cybersecurity in today's digital world, and Brief history of cybersecurity incidents Foundations of Information Security Network Security Basics of network architecture, Firewalls, IDS, and IPS VPNs and secure communication protocols Operating System Security Securing different operating systems Access controls and permissions Patch management and updates Web Security Common web vulnerabilities, Secure coding practices, Web application firewalls Security Policies and Procedures Developing and implementing security policies, Incident response and disaster recovery | |||||||||||
| Used in Program / Level | |||||||||||
| Program Name or requirement | Study Level | Semester | |||||||||
| Computer Engineering and Software Systems |
4 | ||||||||||
| Assessment Criteria | |||||||||||
| Student Activities | Mid-Term Exam | Oral/Practical | Final Exam | ||||||||
| 15% | 20% | 20% | 40% | ||||||||
| CSE461s | Selected Topics in Distributed & Mobile Computing | 3 CH | |||||||||
| Prerequisites | |||||||||||
| Number of weekly Contact Hours | |||||||||||
| Lecture | Tutorial | Laboratory | |||||||||
| 3 Hours | 1 Hour | 1 Hour | |||||||||
| Required SWL | 125 | Equivalent ECTS | 5 | ||||||||
| Course Content | |||||||||||
| Selected topics in recent directions in distributed and mobile computing will be presented in this course. | |||||||||||
| Assessment Criteria | |||||||||||
| Student Activities | Mid-Term Exam | Oral/Practical | Final Exam | ||||||||
| 20% | 20% | 20% | 40% | ||||||||
| CSE271 | System Dynamics and Control Components | 4 CH | |||||||||
| Prerequisites | (PHM113) | ||||||||||
| Number of weekly Contact Hours | |||||||||||
| Lecture | Tutorial | Laboratory | |||||||||
| 3 Hours | 2 Hours | 1 Hour | |||||||||
| Required SWL | 150 | Equivalent ECTS | 6 | ||||||||
| Course Content | |||||||||||
| Modelling principles and simulation; methodology for model building, Modelling of distributed systems, Modelling of process dead-time, Experimental approach to model building, Linearization techniques, Modelling of chemical process plant, Heat exchanger, Binary distillation column, Chemical reactor, Iron making and steel making; models. Turbo-generators in electric power systems, nonlinear mathematical model, Generator, Exciter, And transmission system, Boiler and turbine. Manufacturing systems, Mechanization and automation, Numerical control, Computer-aided manufacture, Illustrative examples. Simulation of physical systems. Measurements and control in closed loop control. Physical quantities and transducers. Static and dynamic specifications of transducers. Displacement, velocity, and acceleration transducers. Strain gauges and Wheatstone bridge. Thermal transducers. Pressure, flow, and level transducers. Analog signal conditioning and transmission. Digitizing analog signals (D/A, A/D). Data acquisition systems in digital control loops. PC interfaces through standard I/O bus cards and parallel and serial interfaces and their drivers. Programmable controllers. Power interfacing (power amplifiers, thyristors). Control valves. Electronic/pneumatic PID controllers. | |||||||||||
| Assessment Criteria | |||||||||||
| Student Activities | Mid-Term Exam | Oral/Practical | Final Exam | ||||||||
| 15% | 25% | 10% | 40% | ||||||||
| CSE271s | System Dynamics and Control Components | 4 CH | |||||||||
| Prerequisites | ( PHM113s ) | ||||||||||
| Number of weekly Contact Hours | |||||||||||
| Lecture | Tutorial | Laboratory | |||||||||
| 3 Hours | 2 Hours | 1 Hour | |||||||||
| Required SWL | 150 | Equivalent ECTS | 6 | ||||||||
| Course Content | |||||||||||
| Modelling principles and simulation; methodology for model building, Modelling of distributed systems, Modelling of process dead-time, Experimental approach to model building, Linearization techniques, Modelling of chemical process plant, Heat exchanger, Binary distillation column, Chemical reactor, Iron making and steel making; models. Turbo-generators in electric power systems, nonlinear mathematical model, Generator, Exciter, And transmission system, Boiler and turbine. Manufacturing systems, Mechanization and automation, Numerical control, Computer-aided manufacture, Illustrative examples. Simulation of physical systems. Measurements and control in closed loop control. Physical quantities and transducers. Static and dynamic specifications of transducers. Displacement, velocity, and acceleration transducers. Strain gauges and Wheatstone bridge. Thermal transducers. Pressure, flow, and level transducers. Analog signal conditioning and transmission. Digitizing analog signals (D/A, A/D). Data acquisition systems in digital control loops. PC interfaces through standard I/O bus cards and parallel and serial interfaces and their drivers. Programmable controllers. Power interfacing (power amplifiers, thyristors). Control valves. Electronic/pneumatic PID controllers. | |||||||||||
| Used in Program / Level | |||||||||||
| Program Name or requirement | Study Level | Semester | |||||||||
| Electrical Power and Machines Engineering |
3 | 5 | |||||||||
| Electronics and Communications Engineering |
3 | 5 | |||||||||
| Computer and Systems Engineering |
3 | 5 | |||||||||
| Assessment Criteria | |||||||||||
| Student Activities | Mid-Term Exam | Oral/Practical | Final Exam | ||||||||
| 10% | 20% | 10% | 60% | ||||||||
| CSE371 | Control Engineering | 3 CH | |||||||||
| Prerequisites | ( ECE251 OR ECE253 ) | ||||||||||
| Number of weekly Contact Hours | |||||||||||
| Lecture | Tutorial | Laboratory | |||||||||
| 2 Hours | 1 Hour | 1 Hour | |||||||||
| Required SWL | 125 | Equivalent ECTS | 5 | ||||||||
| Course Content | |||||||||||
| Introduction to feedback control systems. Characteristics of closed loop systems. Advantages and disadvantages of feedback. Obtainment of transfer functions along with illustrative examples. Block diagram reduction. Signal flow graphs. Sensitivity to parameter variation. Performance of control systems. Standard test signals. Time response of first and second order systems and response specs. Identifications of systems from time response. Static error analysis. Classical controllers P, PI, PD, PID. Routh - Method for stability analysis. Root locus. Frequency response. Identifications of systems from frequency response. Design of PID controllers and compensators. State space representation in canonical forms. State feedback gain matrix design method. Observability and controllability analysis. | |||||||||||
| Used in Program / Level | |||||||||||
| Program Name or requirement | Study Level | Semester | |||||||||
| Computer Engineering and Software Systems |
3 | 6 | |||||||||
| Communication Systems Engineering |
3 | 6 | |||||||||
| Computer Engineering and Software Systems |
3 | 6 | |||||||||
| Assessment Criteria | |||||||||||
| Student Activities | Mid-Term Exam | Oral/Practical | Final Exam | ||||||||
| 25% | 20% | 10% | 40% | ||||||||
| CSE371s | Control Engineering | 3 CH | |||||||||
| Prerequisites | ( ECE251s OR ECE253s ) AND (CSE271s) | ||||||||||
| Number of weekly Contact Hours | |||||||||||
| Lecture | Tutorial | Laboratory | |||||||||
| 2 Hours | 1 Hour | 1 Hour | |||||||||
| Required SWL | 125 | Equivalent ECTS | 5 | ||||||||
| Course Content | |||||||||||
| Introduction to feedback control systems. Characteristics of closed loop systems. Advantages and disadvantages of feedback. Obtainment of transfer functions along with illustrative examples. Block diagram reduction. Signal flow graphs. Sensitivity to parameter variation. Performance of control systems. Standard test signals. Time response of first and second order systems and response specs. Identifications of systems from time response. Static error analysis. Classical controllers P, PI, PD, PID. Routh - Method for stability analysis. Root locus. Frequency response. Identifications of systems from frequency response. Design of PID controllers and compensators. State space representation in canonical forms. State feedback gain matrix design method. Observability and controllability analysis. | |||||||||||
| Used in Program / Level | |||||||||||
| Program Name or requirement | Study Level | Semester | |||||||||
| Computer and Systems Engineering |
4 | 7 | |||||||||
| Electronics and Communications Engineering |
4 | 7 | |||||||||
| Assessment Criteria | |||||||||||
| Student Activities | Mid-Term Exam | Oral/Practical | Final Exam | ||||||||
| 10% | 20% | 10% | 60% | ||||||||
| CSE372 | Simulation of Engineering Systems | 2 CH | |||||||||
| Prerequisites | ( PHM111 ) | ||||||||||
| Number of weekly Contact Hours | |||||||||||
| Lecture | Tutorial | Laboratory | |||||||||
| 2 Hours | 1 Hour | 1 Hour | |||||||||
| Required SWL | 125 | Equivalent ECTS | 5 | ||||||||
| Course Content | |||||||||||
| Introduction to simulation of engineering systems. Continuous-time and discrete-time systems simulation. Statistical models in simulation. Overview of basic probability and statistics. Selecting input probability distribution. Random number generators. Random variate generation. Simulation of a single server queueing system. Simulation of an Inventory system. Simulation of discrete-event and hybrid systems using Petri nets. Simulation of discrete-event systems using Grafcet. Building valid and credible simulation models. Desirable features of simulation software. Some simulation software examples. | |||||||||||
| Assessment Criteria | |||||||||||
| Student Activities | Mid-Term Exam | Oral/Practical | Final Exam | ||||||||
| 15% | 25% | 10% | 40% | ||||||||
| CSE372s | Simulation of Engineering Systems | 2 CH | |||||||||
| Prerequisites | ( PHM111s ) | ||||||||||
| Number of weekly Contact Hours | |||||||||||
| Lecture | Tutorial | Laboratory | |||||||||
| 2 Hours | 1 Hour | 1 Hour | |||||||||
| Required SWL | 125 | Equivalent ECTS | 5 | ||||||||
| Course Content | |||||||||||
| Introduction to simulation of engineering systems. Continuous-time and discrete-time systems simulation. Statistical models in simulation. Overview of basic probability and statistics. Selecting input probability distribution. Random number generators. Random variate generation. Simulation of a single server queueing system. Simulation of an Inventory system. Simulation of discrete-event and hybrid systems using Petri nets. Simulation of discrete-event systems using Grafcet. Building valid and credible simulation models. Desirable features of simulation software. Some simulation software examples. | |||||||||||
| Used in Program / Level | |||||||||||
| Program Name or requirement | Study Level | Semester | |||||||||
| Computer and Systems Engineering |
3 | ||||||||||
| Assessment Criteria | |||||||||||
| Student Activities | Mid-Term Exam | Oral/Practical | Final Exam | ||||||||
| 10% | 20% | 10% | 60% | ||||||||
| CSE373 | Digital Control Systems | 2 CH | |||||||||
| Prerequisites | ( CSE371 ) | ||||||||||
| Number of weekly Contact Hours | |||||||||||
| Lecture | Tutorial | Laboratory | |||||||||
| 2 Hours | 1 Hour | 1 Hour | |||||||||
| Required SWL | 125 | Equivalent ECTS | 5 | ||||||||
| Course Content | |||||||||||
| Z-Transform and pulse transfer function-Representation of digital system using difference equation. The stability of a digital system. Design a digital controller from a continuous controller-Implement a digital filter-Represent a system in digital state space-Design and tune a digital PID controller-Design a digital controller using pole placement and polynomial equations-Simulate a digital system on MATLAB. Understand the robustness of a control design-Digital optimal control. | |||||||||||
| Assessment Criteria | |||||||||||
| Student Activities | Mid-Term Exam | Oral/Practical | Final Exam | ||||||||
| 15% | 25% | 10% | 40% | ||||||||
| CSE373s | Digital Control Systems | 2 CH | |||||||||
| Prerequisites | ( CSE371s ) | ||||||||||
| Number of weekly Contact Hours | |||||||||||
| Lecture | Tutorial | Laboratory | |||||||||
| 2 Hours | 1 Hour | 1 Hour | |||||||||
| Required SWL | 125 | Equivalent ECTS | 5 | ||||||||
| Course Content | |||||||||||
| Z-Transform and pulse transfer function-Representation of digital system using difference equation. The stability of a digital system. Design a digital controller from a continuous controller-Implement a digital filter-Represent a system in digital state space-Design and tune a digital PID controller-Design a digital controller using pole placement and polynomial equations-Simulate a digital system on MATLAB. Understand the robustness of a control design-Digital optimal control. | |||||||||||
| Used in Program / Level | |||||||||||
| Program Name or requirement | Study Level | Semester | |||||||||
| Computer and Systems Engineering |
3 | ||||||||||
| Assessment Criteria | |||||||||||
| Student Activities | Mid-Term Exam | Oral/Practical | Final Exam | ||||||||
| 10% | 20% | 10% | 60% | ||||||||
| CSE374 | Digital Image Processing | 2 CH | |||||||||
| Prerequisites | ( ECE251 ) | ||||||||||
| Number of weekly Contact Hours | |||||||||||
| Lecture | Tutorial | Laboratory | |||||||||
| 2 Hours | 1 Hour | 1 Hour | |||||||||
| Required SWL | 125 | Equivalent ECTS | 5 | ||||||||
| Course Content | |||||||||||
| Introduction to the theory and applications of 2D signal and image processing: 2D signals and systems analysis, 2D sampling and quantization, 2D signals and image transforms, 2D FIR filter design. Image formation. Image enhancement. Image restoration. Image coding. Image reconstruction from projections. Image compression. Colour image processing. Image segmentation. Morphological operations. Super resolution. Wavelets and image pyramids. | |||||||||||
| Used in Program / Level | |||||||||||
| Program Name or requirement | Study Level | Semester | |||||||||
| Computer Engineering and Software Systems |
3 | ||||||||||
| Assessment Criteria | |||||||||||
| Student Activities | Mid-Term Exam | Oral/Practical | Final Exam | ||||||||
| 25% | 20% | 10% | 40% | ||||||||
| CSE374s | Digital Image Processing | 2 CH | |||||||||
| Prerequisites | ( ECE251s ) | ||||||||||
| Number of weekly Contact Hours | |||||||||||
| Lecture | Tutorial | Laboratory | |||||||||
| 2 Hours | 1 Hour | 1 Hour | |||||||||
| Required SWL | 125 | Equivalent ECTS | 5 | ||||||||
| Course Content | |||||||||||
| Introduction to the theory and applications of 2D signal and image processing: 2D signals and systems analysis, 2D sampling and quantization, 2D signals and image transforms, 2D FIR filter design. Image formation. Image enhancement. Image restoration. Image coding. Image reconstruction from projections. Image compression. Colour image processing. Image segmentation. Morphological operations. Super resolution. Wavelets and image pyramids. | |||||||||||
| Used in Program / Level | |||||||||||
| Program Name or requirement | Study Level | Semester | |||||||||
| Computer and Systems Engineering |
4 | 7 | |||||||||
| Assessment Criteria | |||||||||||
| Student Activities | Mid-Term Exam | Oral/Practical | Final Exam | ||||||||
| 10% | 20% | 10% | 60% | ||||||||
| CSE375 | Machine Learning and Pattern Recognition | 2 CH | |||||||||
| Prerequisites | ( PHM111 ) AND ( CSE131 ) | ||||||||||
| Number of weekly Contact Hours | |||||||||||
| Lecture | Tutorial | Laboratory | |||||||||
| 2 Hours | 1 Hour | 1 Hour | |||||||||
| Required SWL | 125 | Equivalent ECTS | 5 | ||||||||
| Course Content | |||||||||||
| Introduction to Machine Learning: Concepts, Instances, Attributes, Simple Examples, Application Domains. Machine Learning and Statistics. Data Pre-processing and Exploration: Sampling, Principal Component Analysis, Feature Extraction, Exploratory Data Analysis. Fundamental Classification Strategies. Clustering Techniques. Statistical and structural pattern recognition approaches. Bayesian decision theory. Maximum-Likelihood and Bayesian parameter estimation. Nearest neighbour rule. Non-parametric classifiers. Linear discriminate functions. Non-linear classifiers. Multi-layer neural networks. Features selection. Template matching. Unsupervised learning and Cluster analysis. Supervised learning. | |||||||||||
| Assessment Criteria | |||||||||||
| Student Activities | Mid-Term Exam | Oral/Practical | Final Exam | ||||||||
| 15% | 25% | 10% | 40% | ||||||||
| CSE375s | Machine Learning and Pattern Recognition | 2 CH | |||||||||
| Prerequisites | ( PHM111s ) AND ( CSE131s ) | ||||||||||
| Number of weekly Contact Hours | |||||||||||
| Lecture | Tutorial | Laboratory | |||||||||
| 2 Hours | 1 Hour | 1 Hour | |||||||||
| Required SWL | 125 | Equivalent ECTS | 5 | ||||||||
| Course Content | |||||||||||
| Introduction to Machine Learning: Concepts, Instances, Attributes, Simple Examples, Application Domains. Machine Learning and Statistics. Data Pre-processing and Exploration: Sampling, Principal Component Analysis, Feature Extraction, Exploratory Data Analysis. Fundamental Classification Strategies. Clustering Techniques. Statistical and structural pattern recognition approaches. Bayesian decision theory. Maximum-Likelihood and Bayesian parameter estimation. Nearest neighbour rule. Non-parametric classifiers. Linear discriminate functions. Non-linear classifiers. Multi-layer neural networks. Features selection. Template matching. Unsupervised learning and Cluster analysis. Supervised learning. | |||||||||||
| Used in Program / Level | |||||||||||
| Program Name or requirement | Study Level | Semester | |||||||||
| Computer and Systems Engineering |
3 | ||||||||||
| Assessment Criteria | |||||||||||
| Student Activities | Mid-Term Exam | Oral/Practical | Final Exam | ||||||||
| 10% | 20% | 10% | 60% | ||||||||
| CSE376 | Digital Signals Processing | 2 CH | |||||||||
| Prerequisites | ( ECE251 ) | ||||||||||
| Number of weekly Contact Hours | |||||||||||
| Lecture | Tutorial | Laboratory | |||||||||
| 2 Hours | 1 Hour | 1 Hour | |||||||||
| Required SWL | 5 | Equivalent ECTS | 125 | ||||||||
| Course Content | |||||||||||
| Z-transform and its properties, Discrete Time Fourier Transform (DTFT), Discrete Fourier Transform (DFT), Fast Fourier Transform (FFT), Circular convolution, block convolution, digital filters, FIR design, IIR design. Multi-Rate processing, Experiments in the field of signal processing supporting the course’s theoretical content. | |||||||||||
| Assessment Criteria | |||||||||||
| Student Activities | Mid-Term Exam | Oral/Practical | Final Exam | ||||||||
| 15% | 25% | 10% | 40% | ||||||||
| CSE376s | Digital Signals Processing | 2 CH | |||||||||
| Prerequisites | ( ECE251s ) | ||||||||||
| Number of weekly Contact Hours | |||||||||||
| Lecture | Tutorial | Laboratory | |||||||||
| 2 Hours | 1 Hour | 1 Hour | |||||||||
| Required SWL | 5 | Equivalent ECTS | 125 | ||||||||
| Course Content | |||||||||||
| Z-transform and its properties, Discrete Time Fourier Transform (DTFT), Discrete Fourier Transform (DFT), Fast Fourier Transform (FFT), Circular convolution, block convolution, digital filters, FIR design, IIR design. Multi-Rate processing, Experiments in the field of signal processing supporting the course’s theoretical content. | |||||||||||
| Used in Program / Level | |||||||||||
| Program Name or requirement | Study Level | Semester | |||||||||
| Computer and Systems Engineering |
3 | ||||||||||
| Assessment Criteria | |||||||||||
| Student Activities | Mid-Term Exam | Oral/Practical | Final Exam | ||||||||
| 10% | 20% | 10% | 60% | ||||||||
| CSE377 | Pattern Recognition | 2 CH | |||||||||
| Prerequisites | ( ECE251 ) | ||||||||||
| Number of weekly Contact Hours | |||||||||||
| Lecture | Tutorial | Laboratory | |||||||||
| 2 Hours | 1 Hour | 1 Hour | |||||||||
| Required SWL | 125 | Equivalent ECTS | 5 | ||||||||
| Course Content | |||||||||||
| Introduction to pattern recognition, Statistical and structural approaches, Bayesian decision theory, Maximum-Likelihood and Bayesian parameters estimation, Nearest neighbour rule, Non-parametric classifiers, Decision trees, Unsupervised classification and clustering, Linear discriminate functions, Non-linear classifiers, Classifiers comparison, Multi-layer neural networks, Back-propagation, Hidden Markov models, Principal component analysis, Features selection, Template matching, Unsupervised learning and cluster analysis. | |||||||||||
| Used in Program / Level | |||||||||||
| Program Name or requirement | Study Level | Semester | |||||||||
| Computer Engineering and Software Systems |
3 | ||||||||||
| Assessment Criteria | |||||||||||
| Student Activities | Mid-Term Exam | Oral/Practical | Final Exam | ||||||||
| 15% | 20% | 20% | 40% | ||||||||
| CSE377s | Pattern Recognition | 2 CH | |||||||||
| Prerequisites | ( ECE251s ) | ||||||||||
| Number of weekly Contact Hours | |||||||||||
| Lecture | Tutorial | Laboratory | |||||||||
| 2 Hours | 1 Hour | 1 Hour | |||||||||
| Required SWL | 125 | Equivalent ECTS | 5 | ||||||||
| Course Content | |||||||||||
| Introduction to pattern recognition, Statistical and structural approaches, Bayesian decision theory, Maximum-Likelihood and Bayesian parameters estimation, Nearest neighbour rule, Non-parametric classifiers, Decision trees, Unsupervised classification and clustering, Linear discriminate functions, Non-linear classifiers, Classifiers comparison, Multi-layer neural networks, Back-propagation, Hidden Markov models, Principal component analysis, Features selection, Template matching, Unsupervised learning and cluster analysis. | |||||||||||
| Assessment Criteria | |||||||||||
| Student Activities | Mid-Term Exam | Oral/Practical | Final Exam | ||||||||
| 20% | 20% | 20% | 40% | ||||||||
| CSE378 | Computer Graphics | 2 CH | |||||||||
| Prerequisites | ( PHM013 ) AND ( CSE231 ) | ||||||||||
| Number of weekly Contact Hours | |||||||||||
| Lecture | Tutorial | Laboratory | |||||||||
| 2 Hours | 1 Hour | 1 Hour | |||||||||
| Required SWL | 125 | Equivalent ECTS | 5 | ||||||||
| Course Content | |||||||||||
| Introduction to computer graphics hardware, algorithms, and software. Graphics Programming, OpenGL. Displaying images. 3D transformations. Light and shading. Ray tracing. Hidden surface removal. Colour technology. Image morphing. Texture mapping. Line drawing. Local illumination models. Curves and Surfaces. Geometric Modelling. Animation. | |||||||||||
| Used in Program / Level | |||||||||||
| Program Name or requirement | Study Level | Semester | |||||||||
| Computer Engineering and Software Systems |
4 | 7 | |||||||||
| Assessment Criteria | |||||||||||
| Student Activities | Mid-Term Exam | Oral/Practical | Final Exam | ||||||||
| 15% | 20% | 20% | 40% | ||||||||
| CSE378s | Computer Graphics | 2 CH | |||||||||
| Prerequisites | ( PHM013s ) AND ( CSE231s ) | ||||||||||
| Number of weekly Contact Hours | |||||||||||
| Lecture | Tutorial | Laboratory | |||||||||
| 2 Hours | 1 Hour | 1 Hour | |||||||||
| Required SWL | 125 | Equivalent ECTS | 5 | ||||||||
| Course Content | |||||||||||
| Introduction to computer graphics hardware, algorithms, and software. Graphics Programming, OpenGL. Displaying images. 3D transformations. Light and shading. Ray tracing. Hidden surface removal. Colour technology. Image morphing. Texture mapping. Line drawing. Local illumination models. Curves and Surfaces. Geometric Modelling. Animation. | |||||||||||
| Assessment Criteria | |||||||||||
| Student Activities | Mid-Term Exam | Oral/Practical | Final Exam | ||||||||
| 20% | 20% | 20% | 40% | ||||||||
| CSE379 | Human Computer Interaction | 2 CH | |||||||||
| Prerequisites | ( CSE232 ) | ||||||||||
| Number of weekly Contact Hours | |||||||||||
| Lecture | Tutorial | Laboratory | |||||||||
| 2 Hours | 1 Hour | 1 Hour | |||||||||
| Required SWL | 125 | Equivalent ECTS | 5 | ||||||||
| Course Content | |||||||||||
| Introduction. Iterative design processes, interactive prototype construction, discount evaluation techniques. Fundamental methods, principles and tools for designing, programming, and testing interactive systems. Usability, user-centred design, information and interactivity structures, interaction styles, interaction techniques, and user interface software tools with a special focus on mobile user interfaces. Mobile interaction, augmented-reality, tangible user interfaces, and ubiquitous computing. Interaction techniques: use of voice, gesture, and eye movements. | |||||||||||
| Used in Program / Level | |||||||||||
| Program Name or requirement | Study Level | Semester | |||||||||
| Computer Engineering and Software Systems |
3 | ||||||||||
| Assessment Criteria | |||||||||||
| Student Activities | Mid-Term Exam | Oral/Practical | Final Exam | ||||||||
| 15% | 20% | 20% | 40% | ||||||||
| CSE379s | Human Computer Interaction | 2 CH | |||||||||
| Prerequisites | ( CSE232s ) | ||||||||||
| Number of weekly Contact Hours | |||||||||||
| Lecture | Tutorial | Laboratory | |||||||||
| 2 Hours | 1 Hour | 1 Hour | |||||||||
| Required SWL | 125 | Equivalent ECTS | 5 | ||||||||
| Course Content | |||||||||||
| Introduction. Iterative design processes, interactive prototype construction, discount evaluation techniques. Fundamental methods, principles and tools for designing, programming, and testing interactive systems. Usability, user-centred design, information and interactivity structures, interaction styles, interaction techniques, and user interface software tools with a special focus on mobile user interfaces. Mobile interaction, augmented-reality, tangible user interfaces, and ubiquitous computing. Interaction techniques: use of voice, gesture, and eye movements. | |||||||||||
| Assessment Criteria | |||||||||||
| Student Activities | Mid-Term Exam | Oral/Practical | Final Exam | ||||||||
| 20% | 20% | 20% | 40% | ||||||||
| CSE381 | Introduction to Machine Learning | 2 CH | |||||||||
| Prerequisites | ( PHM111 ) AND ( CSE131 ) | ||||||||||
| Number of weekly Contact Hours | |||||||||||
| Lecture | Tutorial | Laboratory | |||||||||
| 2 Hours | 1 Hour | 1 Hour | |||||||||
| Required SWL | 125 | Equivalent ECTS | 5 | ||||||||
| Course Content | |||||||||||
| Introduction. Naïve Bayes. Decision Trees. Linear regression (single and multivariable). Logistic regression. Artificial Neural Networks. Support Vector Machines. Ensemble Methods. Randomized Optimization. Clustering algorithms. Principal component analysis. Reinforcement Learning. Recommender Systems. | |||||||||||
| Used in Program / Level | |||||||||||
| Program Name or requirement | Study Level | Semester | |||||||||
| Computer Engineering and Software Systems |
4 | 7 | |||||||||
| Assessment Criteria | |||||||||||
| Student Activities | Mid-Term Exam | Oral/Practical | Final Exam | ||||||||
| 35% | 20% | 0% | 40% | ||||||||
| CSE381s | Introduction to Machine Learning | 2 CH | |||||||||
| Prerequisites | ( PHM111s ) AND ( CSE131s ) | ||||||||||
| Number of weekly Contact Hours | |||||||||||
| Lecture | Tutorial | Laboratory | |||||||||
| 2 Hours | 1 Hour | 1 Hour | |||||||||
| Required SWL | 125 | Equivalent ECTS | 5 | ||||||||
| Course Content | |||||||||||
| Introduction. Naïve Bayes. Decision Trees. Linear regression (single and multivariable). Logistic regression. Artificial Neural Networks. Support Vector Machines. Ensemble Methods. Randomized Optimization. Clustering algorithms. Principal component analysis. Reinforcement Learning. Recommender Systems. | |||||||||||
| Assessment Criteria | |||||||||||
| Student Activities | Mid-Term Exam | Oral/Practical | Final Exam | ||||||||
| 20% | 20% | 20% | 40% | ||||||||
| CSE382 | Data Mining and Business Intelligence | 2 CH | |||||||||
| Prerequisites | ( PHM111 ) AND ( CSE333 ) | ||||||||||
| Number of weekly Contact Hours | |||||||||||
| Lecture | Tutorial | Laboratory | |||||||||
| 2 Hours | 1 Hour | 1 Hour | |||||||||
| Required SWL | 125 | Equivalent ECTS | 5 | ||||||||
| Course Content | |||||||||||
| Introduction: definitions, data mining process, knowledge discovery in databases. Data pre-processing: data cleaning, data integration, data reduction, data transformation, data discretization. Data warehousing. Mining frequent patterns, association rules, correlation. Classification: k-nearest neighbours, multiple linear regression, logistic regression, decision tree, bayes classification, rule-based classification, model evaluation and selection, support vector machine, anomaly detection. Cluster analysis: partition methods, hierarchical methods, density methods. Outlier detection: statistical methods, proximity-based methods. Web mining: text and web-page pre-processing, inverted index, latent semantic indexing web search, web meta-search, social network analysis, web crawling. Business intelligence. Data mining tools. Applications of data mining to various application domains. Data mining case studies. | |||||||||||
| Used in Program / Level | |||||||||||
| Program Name or requirement | Study Level | Semester | |||||||||
| Computer Engineering and Software Systems |
3 | ||||||||||
| Assessment Criteria | |||||||||||
| Student Activities | Mid-Term Exam | Oral/Practical | Final Exam | ||||||||
| 15% | 20% | 20% | 40% | ||||||||
| CSE382s | Data Mining and Business Intelligence | 2 CH | |||||||||
| Prerequisites | ( PHM111s ) AND ( CSE333s ) | ||||||||||
| Number of weekly Contact Hours | |||||||||||
| Lecture | Tutorial | Laboratory | |||||||||
| 2 Hours | 1 Hour | 1 Hour | |||||||||
| Required SWL | 125 | Equivalent ECTS | 5 | ||||||||
| Course Content | |||||||||||
| Introduction: definitions, data mining process, knowledge discovery in databases. Data pre-processing: data cleaning, data integration, data reduction, data transformation, data discretization. Data warehousing. Mining frequent patterns, association rules, correlation. Classification: k-nearest neighbours, multiple linear regression, logistic regression, decision tree, bayes classification, rule-based classification, model evaluation and selection, support vector machine, anomaly detection. Cluster analysis: partition methods, hierarchical methods, density methods. Outlier detection: statistical methods, proximity-based methods. Web mining: text and web-page pre-processing, inverted index, latent semantic indexing web search, web meta-search, social network analysis, web crawling. Business intelligence. Data mining tools. Applications of data mining to various application domains. Data mining case studies. | |||||||||||
| Assessment Criteria | |||||||||||
| Student Activities | Mid-Term Exam | Oral/Practical | Final Exam | ||||||||
| 20% | 20% | 20% | 40% | ||||||||
| CSE471 | Robotic Systems | 2 CH | |||||||||
| Prerequisites | ( CSE271 ) | ||||||||||
| Number of weekly Contact Hours | |||||||||||
| Lecture | Tutorial | Laboratory | |||||||||
| 2 Hours | 1 Hour | 1 Hour | |||||||||
| Required SWL | 125 | Equivalent ECTS | 5 | ||||||||
| Course Content | |||||||||||
| Introduction to Homogeneous Transformations, Forward Kinematics: The Denavit-Hartenberg-Convention, Inverse Kinematics, Velocity Kinematics, The Manipulator Jacobian, Dynamics, Independent Joint Control, Feedback Linearization, Robot programming and algorithms. | |||||||||||
| Assessment Criteria | |||||||||||
| Student Activities | Mid-Term Exam | Oral/Practical | Final Exam | ||||||||
| 15% | 25% | 10% | 40% | ||||||||
| CSE471s | Robotic Systems | 2 CH | |||||||||
| Prerequisites | ( CSE271s ) | ||||||||||
| Number of weekly Contact Hours | |||||||||||
| Lecture | Tutorial | Laboratory | |||||||||
| 2 Hours | 1 Hour | 1 Hour | |||||||||
| Required SWL | 125 | Equivalent ECTS | 5 | ||||||||
| Course Content | |||||||||||
| Introduction to Homogeneous Transformations, Forward Kinematics: The Denavit-Hartenberg-Convention, Inverse Kinematics, Velocity Kinematics, The Manipulator Jacobian, Dynamics, Independent Joint Control, Feedback Linearization, Robot programming and algorithms. | |||||||||||
| Used in Program / Level | |||||||||||
| Program Name or requirement | Study Level | Semester | |||||||||
| Computer and Systems Engineering |
4 | ||||||||||
| Assessment Criteria | |||||||||||
| Student Activities | Mid-Term Exam | Oral/Practical | Final Exam | ||||||||
| 10% | 20% | 10% | 60% | ||||||||
| CSE472 | Artificial Intelligence | 3 CH | |||||||||
| Prerequisites | ( PHM211 ) AND ( CSE131 ) | ||||||||||
| Number of weekly Contact Hours | |||||||||||
| Lecture | Tutorial | Laboratory | |||||||||
| 2 Hours | 2 Hours | 0 Hours | |||||||||
| Required SWL | 125 | Equivalent ECTS | 5 | ||||||||
| Course Content | |||||||||||
| Introduction. Artificial intelligence languages. Problem-solving in artificial intelligence. Problem-solving by searching: uninformed search, informed search, heuristic functions. Adversarial search and game theory. Expert Systems: rule-based systems, inference, probabilistic reasoning. Learning methodologies. Decision theory. Classification. Clustering. Neural Networks. Evolutionary Computation. Genetic Algorithms. Artificial intelligence applications. | |||||||||||
| Used in Program / Level | |||||||||||
| Program Name or requirement | Study Level | Semester | |||||||||
| Computer Engineering and Software Systems |
4 | ||||||||||
| Computer Engineering and Software Systems |
3 | ||||||||||
| Assessment Criteria | |||||||||||
| Student Activities | Mid-Term Exam | Oral/Practical | Final Exam | ||||||||
| 35% | 20% | 0% | 40% | ||||||||
| CSE472s | Artificial Intelligence | 3 CH | |||||||||
| Prerequisites | ( PHM211s ) AND ( CSE131s ) | ||||||||||
| Number of weekly Contact Hours | |||||||||||
| Lecture | Tutorial | Laboratory | |||||||||
| 2 Hours | 2 Hours | 0 Hours | |||||||||
| Required SWL | 125 | Equivalent ECTS | 5 | ||||||||
| Course Content | |||||||||||
| Introduction. Artificial intelligence languages. Problem-solving in artificial intelligence. Problem-solving by searching: uninformed search, informed search, heuristic functions. Adversarial search and game theory. Expert Systems: rule-based systems, inference, probabilistic reasoning. Learning methodologies. Decision theory. Classification. Clustering. Neural Networks. Evolutionary Computation. Genetic Algorithms. Artificial intelligence applications. | |||||||||||
| Used in Program / Level | |||||||||||
| Program Name or requirement | Study Level | Semester | |||||||||
| Computer and Systems Engineering |
4 | 9 | |||||||||
| Assessment Criteria | |||||||||||
| Student Activities | Mid-Term Exam | Oral/Practical | Final Exam | ||||||||
| 20% | 20% | 0% | 60% | ||||||||
| CSE473 | Computational Intelligence | 2 CH | |||||||||
| Prerequisites | ( PHM111 ) AND ( CSE131 ) | ||||||||||
| Number of weekly Contact Hours | |||||||||||
| Lecture | Tutorial | Laboratory | |||||||||
| 2 Hours | 1 Hour | 1 Hour | |||||||||
| Required SWL | 125 | Equivalent ECTS | 5 | ||||||||
| Course Content | |||||||||||
| Definitions, learning theory, soft-computing paradigm. Fuzzy systems: Fuzzy sets and relations, operations on fuzzy sets, fuzzy logic, approximate reasoning, fuzzy control. Neural networks: machine learning using neural networks, supervised learning, unsupervised learning, competitive learning, reinforcement learning, neuro-dynamic programming, neuro-fuzzy systems. Evolutionary computation: genetic algorithms, genetic programming, genetic optimization, machine learning using genetic algorithms. Particle swarm optimization. Bayes networks. Artificial immune systems. Rough theory. Granular computing. Chaos theory. Tools used in developing computational intelligence algorithms. Applications: intelligent control systems, object recognition, applications in mobile robots. | |||||||||||
| Used in Program / Level | |||||||||||
| Program Name or requirement | Study Level | Semester | |||||||||
| Mechatronics Engineering and Automation |
9 | ||||||||||
| Assessment Criteria | |||||||||||
| Student Activities | Mid-Term Exam | Oral/Practical | Final Exam | ||||||||
| 30% | 25% | 0% | 40% | ||||||||
| CSE473s | Computational Intelligence | 2 CH | |||||||||
| Prerequisites | ( PHM111s ) AND ( CSE131s ) | ||||||||||
| Number of weekly Contact Hours | |||||||||||
| Lecture | Tutorial | Laboratory | |||||||||
| 2 Hours | 1 Hour | 1 Hour | |||||||||
| Required SWL | 125 | Equivalent ECTS | 5 | ||||||||
| Course Content | |||||||||||
| Definitions, learning theory, soft-computing paradigm. Fuzzy systems: Fuzzy sets and relations, operations on fuzzy sets, fuzzy logic, approximate reasoning, fuzzy control. Neural networks: machine learning using neural networks, supervised learning, unsupervised learning, competitive learning, reinforcement learning, neuro-dynamic programming, neuro-fuzzy systems. Evolutionary computation: genetic algorithms, genetic programming, genetic optimization, machine learning using genetic algorithms. Particle swarm optimization. Bayes networks. Artificial immune systems. Rough theory. Granular computing. Chaos theory. Tools used in developing computational intelligence algorithms. Applications: intelligent control systems, object recognition, applications in mobile robots. | |||||||||||
| Used in Program / Level | |||||||||||
| Program Name or requirement | Study Level | Semester | |||||||||
| Mechatronics Engineering |
5 | 9 | |||||||||
| Computer and Systems Engineering |
5 | 10 | |||||||||
| Assessment Criteria | |||||||||||
| Student Activities | Mid-Term Exam | Oral/Practical | Final Exam | ||||||||
| 10% | 20% | 10% | 60% | ||||||||
| CSE474 | Visualization | 3 CH | |||||||||
| Prerequisites | ( CSE378 ) | ||||||||||
| Number of weekly Contact Hours | |||||||||||
| Lecture | Tutorial | Laboratory | |||||||||
| 3 Hours | 1 Hour | 1 Hour | |||||||||
| Required SWL | 125 | Equivalent ECTS | 5 | ||||||||
| Course Content | |||||||||||
| Introduction. Perception and its applications. Graphical perception. Visual encoding principles. Interaction principles. Single-view methods. Multiple-view methods. Item reduction methods. Attribute reduction methods. Tabular data. Visualization toolkits. Graphs and trees. Flow visualization. Geo-spatial visualization. Volume visualization. Vector visualization. High-dimensional Visualization. Visualizing relational data. Design and evaluation. Visualizing structure. Visualizing time. Scaling. | |||||||||||
| Used in Program / Level | |||||||||||
| Program Name or requirement | Study Level | Semester | |||||||||
| Computer Engineering and Software Systems |
5 | ||||||||||
| Assessment Criteria | |||||||||||
| Student Activities | Mid-Term Exam | Oral/Practical | Final Exam | ||||||||
| 15% | 20% | 20% | 40% | ||||||||
| CSE474s | Visualization | 3 CH | |||||||||
| Prerequisites | ( CSE378s ) | ||||||||||
| Number of weekly Contact Hours | |||||||||||
| Lecture | Tutorial | Laboratory | |||||||||
| 3 Hours | 1 Hour | 1 Hour | |||||||||
| Required SWL | 125 | Equivalent ECTS | 5 | ||||||||
| Course Content | |||||||||||
| Introduction. Perception and its applications. Graphical perception. Visual encoding principles. Interaction principles. Single-view methods. Multiple-view methods. Item reduction methods. Attribute reduction methods. Tabular data. Visualization toolkits. Graphs and trees. Flow visualization. Geo-spatial visualization. Volume visualization. Vector visualization. High-dimensional Visualization. Visualizing relational data. Design and evaluation. Visualizing structure. Visualizing time. Scaling. | |||||||||||
| Assessment Criteria | |||||||||||
| Student Activities | Mid-Term Exam | Oral/Practical | Final Exam | ||||||||
| 20% | 20% | 20% | 40% | ||||||||
| CSE475 | Biomedical Engineering | 2 CH | |||||||||
| Prerequisites | ( PHM111 ) AND ( CSE131 ) | ||||||||||
| Number of weekly Contact Hours | |||||||||||
| Lecture | Tutorial | Laboratory | |||||||||
| 2 Hours | 1 Hour | 1 Hour | |||||||||
| Required SWL | 125 | Equivalent ECTS | 5 | ||||||||
| Course Content | |||||||||||
| Introduction to mathematical modelling of physiological systems, Linear system approximation, Stochastic modelling, Cardiopulmonary system models, Myocardial mechanics, Cardiac energy and power analysis models, Models of gastrointestinal tract motility, Models of respiratory mechanics and chemical control of respiration. | |||||||||||
| Assessment Criteria | |||||||||||
| Student Activities | Mid-Term Exam | Oral/Practical | Final Exam | ||||||||
| 15% | 25% | 10% | 40% | ||||||||
| CSE475s | Biomedical Engineering | 2 CH | |||||||||
| Prerequisites | ( PHM111s ) AND ( CSE131s ) | ||||||||||
| Number of weekly Contact Hours | |||||||||||
| Lecture | Tutorial | Laboratory | |||||||||
| 2 Hours | 1 Hour | 1 Hour | |||||||||
| Required SWL | 125 | Equivalent ECTS | 5 | ||||||||
| Course Content | |||||||||||
| Introduction to mathematical modelling of physiological systems, Linear system approximation, Stochastic modelling, Cardiopulmonary system models, Myocardial mechanics, Cardiac energy and power analysis models, Models of gastrointestinal tract motility, Models of respiratory mechanics and chemical control of respiration. | |||||||||||
| Used in Program / Level | |||||||||||
| Program Name or requirement | Study Level | Semester | |||||||||
| Computer and Systems Engineering |
4 | ||||||||||
| Assessment Criteria | |||||||||||
| Student Activities | Mid-Term Exam | Oral/Practical | Final Exam | ||||||||
| 10% | 20% | 10% | 60% | ||||||||
| CSE476 | Fundamentals of Big-Data Analytics | 2 CH | |||||||||
| Prerequisites | ( PHM111 ) AND ( CSE131 ) | ||||||||||
| Number of weekly Contact Hours | |||||||||||
| Lecture | Tutorial | Laboratory | |||||||||
| 2 Hours | 1 Hour | 1 Hour | |||||||||
| Required SWL | 125 | Equivalent ECTS | 5 | ||||||||
| Course Content | |||||||||||
| Definition. Fundamentals of Big data technologies and tools. Distributed processing ecosystem. Big Data Storage and Analytics. Big data analytics machine learning algorithms. Graph analytics. Big data visualization. | |||||||||||
| Assessment Criteria | |||||||||||
| Student Activities | Mid-Term Exam | Oral/Practical | Final Exam | ||||||||
| 15% | 25% | 10% | 40% | ||||||||
| CSE476s | Fundamentals of Big-Data Analytics | 2 CH | |||||||||
| Prerequisites | ( PHM111s ) AND ( CSE131s ) | ||||||||||
| Number of weekly Contact Hours | |||||||||||
| Lecture | Tutorial | Laboratory | |||||||||
| 2 Hours | 1 Hour | 1 Hour | |||||||||
| Required SWL | 125 | Equivalent ECTS | 5 | ||||||||
| Course Content | |||||||||||
| Definition. Fundamentals of Big data technologies and tools. Distributed processing ecosystem. Big Data Storage and Analytics. Big data analytics machine learning algorithms. Graph analytics. Big data visualization. | |||||||||||
| Assessment Criteria | |||||||||||
| Student Activities | Mid-Term Exam | Oral/Practical | Final Exam | ||||||||
| 10% | 20% | 10% | 60% | ||||||||
| CSE477 | Fundamentals of Deep Learning | 2 CH | |||||||||
| Prerequisites | ( CSE131 ) AND (PHM111) | ||||||||||
| Number of weekly Contact Hours | |||||||||||
| Lecture | Tutorial | Laboratory | |||||||||
| 2 Hours | 1 Hour | 1 Hour | |||||||||
| Required SWL | 125 | Equivalent ECTS | 5 | ||||||||
| Course Content | |||||||||||
| Introduction to deep learning and its underlying theory, the range of applications to which it has been applied. Architectures commonly associated with deep learning, basic neural networks, convolutional neural networks and recurrent neural networks. Methods to train and optimize the architectures and methods to perform effective inference | |||||||||||
| Assessment Criteria | |||||||||||
| Student Activities | Mid-Term Exam | Oral/Practical | Final Exam | ||||||||
| 15% | 25% | 10% | 40% | ||||||||
| CSE477s | Fundamentals of Deep Learning | 2 CH | |||||||||
| Prerequisites | ( CSE131s ) AND ( PHM111s ) | ||||||||||
| Number of weekly Contact Hours | |||||||||||
| Lecture | Tutorial | Laboratory | |||||||||
| 2 Hours | 1 Hour | 1 Hour | |||||||||
| Required SWL | 125 | Equivalent ECTS | 5 | ||||||||
| Course Content | |||||||||||
| Introduction to deep learning and its underlying theory, the range of applications to which it has been applied. Architectures commonly associated with deep learning, basic neural networks, convolutional neural networks and recurrent neural networks. Methods to train and optimize the architectures and methods to perform effective inference are explained. Some applications in computer vision and natural language processing are implemented. | |||||||||||
| Assessment Criteria | |||||||||||
| Student Activities | Mid-Term Exam | Oral/Practical | Final Exam | ||||||||
| 10% | 20% | 10% | 60% | ||||||||
| CSE478 | Selected Topics in Systems & Artificial Intelligence | 2 CH | |||||||||
| Prerequisites | |||||||||||
| Number of weekly Contact Hours | |||||||||||
| Lecture | Tutorial | Laboratory | |||||||||
| 2 Hours | 1 Hour | 1 Hour | |||||||||
| Required SWL | 125 | Equivalent ECTS | 5 | ||||||||
| Course Content | |||||||||||
| Selected topics in recent developments in systems engineering and Artificial Intelligence will be presented in this course. Course material will reflect the needs of the graduating students | |||||||||||
| Assessment Criteria | |||||||||||
| Student Activities | Mid-Term Exam | Oral/Practical | Final Exam | ||||||||
| 15% | 25% | 10% | 40% | ||||||||
| CSE478s | Selected Topics in Systems & Artificial Intelligence | 2 CH | |||||||||
| Prerequisites | |||||||||||
| Number of weekly Contact Hours | |||||||||||
| Lecture | Tutorial | Laboratory | |||||||||
| 2 Hours | 1 Hour | 1 Hour | |||||||||
| Required SWL | 125 | Equivalent ECTS | 5 | ||||||||
| Course Content | |||||||||||
| Selected topics in recent developments in systems engineering and Artificial Intelligence will be presented in this course. Course material will reflect the needs of the graduating students | |||||||||||
| Used in Program / Level | |||||||||||
| Program Name or requirement | Study Level | Semester | |||||||||
| Computer and Systems Engineering |
4 | ||||||||||
| Assessment Criteria | |||||||||||
| Student Activities | Mid-Term Exam | Oral/Practical | Final Exam | ||||||||
| 10% | 20% | 10% | 60% | ||||||||
| CSE479 | Multimedia Engineering | 3 CH | |||||||||
| Prerequisites | ( CSE374 ) | ||||||||||
| Number of weekly Contact Hours | |||||||||||
| Lecture | Tutorial | Laboratory | |||||||||
| 3 Hours | 1 Hour | 1 Hour | |||||||||
| Required SWL | 125 | Equivalent ECTS | 5 | ||||||||
| Course Content | |||||||||||
| Introduction to multimedia. Image data representation. Colour in image and video. Basics of digital audio. The creation of digital music and audio. Encoding and compression, segmentation, recognition and interpretation, 3D imagery. Speech coders: Speech signal analysis, Waveform coders, Voice coders, Hybrid coders. Voice over IP, Video over IP. Lossless compression algorithms. Lossy compression algorithms. JPEG, JPEG2000. Video compression techniques, MPEG-1, MPEG-2, MPEG-4, MPEG-7, H.261, H.263, H.264, H.265 High Efficiency Video Coding (HEVC). Audio compression techniques, Vocoders. MPEG audio compression. Quality of service. Applications. | |||||||||||
| Used in Program / Level | |||||||||||
| Program Name or requirement | Study Level | Semester | |||||||||
| Computer Engineering and Software Systems |
4 | ||||||||||
| Assessment Criteria | |||||||||||
| Student Activities | Mid-Term Exam | Oral/Practical | Final Exam | ||||||||
| 15% | 20% | 20% | 40% | ||||||||
| CSE479s | Multimedia Engineering | 3 CH | |||||||||
| Prerequisites | ( CSE374s ) | ||||||||||
| Number of weekly Contact Hours | |||||||||||
| Lecture | Tutorial | Laboratory | |||||||||
| 3 Hours | 1 Hour | 1 Hour | |||||||||
| Required SWL | 125 | Equivalent ECTS | 5 | ||||||||
| Course Content | |||||||||||
| Introduction to multimedia. Image data representation. Colour in image and video. Basics of digital audio. The creation of digital music and audio. Encoding and compression, segmentation, recognition and interpretation, 3D imagery. Speech coders: Speech signal analysis, Waveform coders, Voice coders, Hybrid coders. Voice over IP, Video over IP. Lossless compression algorithms. Lossy compression algorithms. JPEG, JPEG2000. Video compression techniques, MPEG-1, MPEG-2, MPEG-4, MPEG-7, H.261, H.263, H.264, H.265 High Efficiency Video Coding (HEVC). Audio compression techniques, Vocoders. MPEG audio compression. Quality of service. Applications. | |||||||||||
| Assessment Criteria | |||||||||||
| Student Activities | Mid-Term Exam | Oral/Practical | Final Exam | ||||||||
| 20% | 20% | 20% | 40% | ||||||||
| CSE480 | Machine Vision | 3 CH | |||||||||
| Prerequisites | ( PHM111 ) AND ( CSE131 ) | ||||||||||
| Number of weekly Contact Hours | |||||||||||
| Lecture | Tutorial | Laboratory | |||||||||
| 3 Hours | 1 Hour | 1 Hour | |||||||||
| Required SWL | 125 | Equivalent ECTS | 5 | ||||||||
| Course Content | |||||||||||
| This course provides a comprehensive introduction to machine vision. Major topics include image processing, detection and recognition, geometry-based and physics-based vision and video analysis. Basic concepts of machine vision as well as hands on experience will be learned to solve real-life vision problems. Several applications include embedded vision and autonomous driving. | |||||||||||
| Used in Program / Level | |||||||||||
| Program Name or requirement | Study Level | Semester | |||||||||
| Mechatronics Engineering and Automation |
4 | 9 | |||||||||
| Assessment Criteria | |||||||||||
| Student Activities | Mid-Term Exam | Oral/Practical | Final Exam | ||||||||
| 15% | 25% | 10% | 40% | ||||||||
| CSE480s | Machine Vision | 3 CH | |||||||||
| Prerequisites | ( PHM111s ) AND ( CSE131s ) | ||||||||||
| Number of weekly Contact Hours | |||||||||||
| Lecture | Tutorial | Laboratory | |||||||||
| 3 Hours | 1 Hour | 1 Hour | |||||||||
| Required SWL | 125 | Equivalent ECTS | 5 | ||||||||
| Course Content | |||||||||||
| This course provides a comprehensive introduction to machine vision. Major topics include image processing, detection and recognition, geometry-based and physics-based vision and video analysis. Basic concepts of machine vision as well as hands on experience will be learned to solve real-life vision problems. Several applications include embedded vision and autonomous driving. | |||||||||||
| Used in Program / Level | |||||||||||
| Program Name or requirement | Study Level | Semester | |||||||||
| Mechatronics Engineering |
5 | 9 | |||||||||
| Assessment Criteria | |||||||||||
| Student Activities | Mid-Term Exam | Oral/Practical | Final Exam | ||||||||
| 20% | 20% | 20% | 40% | ||||||||
| CSE481 | Computer Animation | 3 CH | |||||||||
| Prerequisites | ( CSE378 ) | ||||||||||
| Number of weekly Contact Hours | |||||||||||
| Lecture | Tutorial | Laboratory | |||||||||
| 3 Hours | 1 Hour | 1 Hour | |||||||||
| Required SWL | 125 | Equivalent ECTS | 5 | ||||||||
| Course Content | |||||||||||
| Introduction. Key-framing. Storyboarding. Animation software. Spacing and timing. Digital animation techniques. 2D and 3D animatics, special effects design, 3D paint techniques and integration. Sequence planning, non-photorealistic rendering. Kinematics, physically based dynamics modelling. Motion capture. Scene composition, lighting, and sound track generation. Visual effects process. Texture-mapping, rendering and camera tracking techniques. Live action films. | |||||||||||
| Used in Program / Level | |||||||||||
| Program Name or requirement | Study Level | Semester | |||||||||
| Computer Engineering and Software Systems |
5 | 9 | |||||||||
| Assessment Criteria | |||||||||||
| Student Activities | Mid-Term Exam | Oral/Practical | Final Exam | ||||||||
| 15% | 20% | 20% | 40% | ||||||||
| CSE481s | Computer Animation | 3 CH | |||||||||
| Prerequisites | ( CSE378s ) | ||||||||||
| Number of weekly Contact Hours | |||||||||||
| Lecture | Tutorial | Laboratory | |||||||||
| 3 Hours | 1 Hour | 1 Hour | |||||||||
| Required SWL | 125 | Equivalent ECTS | 5 | ||||||||
| Course Content | |||||||||||
| Introduction. Key-framing. Storyboarding. Animation software. Spacing and timing. Digital animation techniques. 2D and 3D animatics, special effects design, 3D paint techniques and integration. Sequence planning, non-photorealistic rendering. Kinematics, physically based dynamics modelling. Motion capture. Scene composition, lighting, and sound track generation. Visual effects process. Texture-mapping, rendering and camera tracking techniques. Live action films. | |||||||||||
| Assessment Criteria | |||||||||||
| Student Activities | Mid-Term Exam | Oral/Practical | Final Exam | ||||||||
| 20% | 20% | 20% | 40% | ||||||||
| CSE482 | Game Design and Development | 3 CH | |||||||||
| Prerequisites | ( CSE378 ) | ||||||||||
| Number of weekly Contact Hours | |||||||||||
| Lecture | Tutorial | Laboratory | |||||||||
| 3 Hours | 1 Hour | 1 Hour | |||||||||
| Required SWL | 125 | Equivalent ECTS | 5 | ||||||||
| Course Content | |||||||||||
| Introduction. Advanced principles and practices of computer game design and programming. Game Design Documents. Formal, dramatic and dynamic elements of games. The process of game development. Game Balancing. The importance of testing, and how developers use the results of testing to improve their games. AI for gaming, programming, and testing. | |||||||||||
| Used in Program / Level | |||||||||||
| Program Name or requirement | Study Level | Semester | |||||||||
| Computer Engineering and Software Systems |
5 | 9 | |||||||||
| Assessment Criteria | |||||||||||
| Student Activities | Mid-Term Exam | Oral/Practical | Final Exam | ||||||||
| 15% | 20% | 20% | 40% | ||||||||
| CSE482s | Game Design and Development | 3 CH | |||||||||
| Prerequisites | ( CSE378s ) | ||||||||||
| Number of weekly Contact Hours | |||||||||||
| Lecture | Tutorial | Laboratory | |||||||||
| 3 Hours | 1 Hour | 1 Hour | |||||||||
| Required SWL | 125 | Equivalent ECTS | 5 | ||||||||
| Course Content | |||||||||||
| Introduction. The process of game development. The importance of testing, and how developers use the results of testing to improve their games. Advanced principles and practices of computer game design and programming. The different aspects of game development including 2D and 3D asset creation, rendering and animation, AI for games, programming, and testing | |||||||||||
| Assessment Criteria | |||||||||||
| Student Activities | Mid-Term Exam | Oral/Practical | Final Exam | ||||||||
| 20% | 20% | 20% | 40% | ||||||||
| CSE483 | Computer Vision | 3 CH | |||||||||
| Prerequisites | ( ECE251 ) | ||||||||||
| Number of weekly Contact Hours | |||||||||||
| Lecture | Tutorial | Laboratory | |||||||||
| 3 Hours | 1 Hour | 1 Hour | |||||||||
| Required SWL | 125 | Equivalent ECTS | 5 | ||||||||
| Course Content | |||||||||||
| Introduction. The analysis of the patterns in visual images with the view to understanding the objects and processes in the world that generates them. Image representation and processing. Feature extraction and selection. Object recognition and probabilistic inference. Dynamic and hierarchical processing. Multi-view geometry. Projective reconstruction. Tracking and density propagation. Visual surveillance and activity monitoring. Medical imaging. Applications. | |||||||||||
| Used in Program / Level | |||||||||||
| Program Name or requirement | Study Level | Semester | |||||||||
| Computer Engineering and Software Systems |
5 | 9 | |||||||||
| Assessment Criteria | |||||||||||
| Student Activities | Mid-Term Exam | Oral/Practical | Final Exam | ||||||||
| 35% | 20% | 0% | 40% | ||||||||
| CSE483s | Computer Vision | 3 CH | |||||||||
| Prerequisites | ( ECE251s ) | ||||||||||
| Number of weekly Contact Hours | |||||||||||
| Lecture | Tutorial | Laboratory | |||||||||
| 3 Hours | 1 Hour | 1 Hour | |||||||||
| Required SWL | 125 | Equivalent ECTS | 5 | ||||||||
| Course Content | |||||||||||
| Introduction. The analysis of the patterns in visual images with the view to understanding the objects and processes in the world that generates them. Image representation and processing. Feature extraction and selection. Object recognition and probabilistic inference. Dynamic and hierarchical processing. Multi-view geometry. Projective reconstruction. Tracking and density propagation. Visual surveillance and activity monitoring. Medical imaging. Applications. | |||||||||||
| Assessment Criteria | |||||||||||
| Student Activities | Mid-Term Exam | Oral/Practical | Final Exam | ||||||||
| 20% | 20% | 20% | 40% | ||||||||
| CSE484 | Big-Data Analytics | 3 CH | |||||||||
| Prerequisites | (PHM111) AND (CSE131) | ||||||||||
| Number of weekly Contact Hours | |||||||||||
| Lecture | Tutorial | Laboratory | |||||||||
| 3 Hours | 1 Hour | 1 Hour | |||||||||
| Required SWL | 125 | Equivalent ECTS | 5 | ||||||||
| Course Content | |||||||||||
| Definition and taxonomy. Challenges, trends, and applications. Big data technologies and tools. The Hadoop ecosystem. The Map-reduce paradigm. Big Data Storage and Analytics. Big data analytics machine learning algorithms. Graph analytics. Big data visualization. | |||||||||||
| Used in Program / Level | |||||||||||
| Program Name or requirement | Study Level | Semester | |||||||||
| Computer Engineering and Software Systems |
5 | 9 | |||||||||
| Assessment Criteria | |||||||||||
| Student Activities | Mid-Term Exam | Oral/Practical | Final Exam | ||||||||
| 15% | 20% | 20% | 40% | ||||||||
| CSE484s | Big-Data Analytics | 3 CH | |||||||||
| Prerequisites | ( PHM111s ) AND ( CSE131s ) | ||||||||||
| Number of weekly Contact Hours | |||||||||||
| Lecture | Tutorial | Laboratory | |||||||||
| 3 Hours | 1 Hour | 1 Hour | |||||||||
| Required SWL | 125 | Equivalent ECTS | 5 | ||||||||
| Course Content | |||||||||||
| Definition and taxonomy. Challenges, trends, and applications. Big data technologies and tools. The Hadoop ecosystem. The Map-reduce paradigm. Big Data Storage and Analytics. Big data analytics machine learning algorithms. Graph analytics. Big data visualization. | |||||||||||
| Assessment Criteria | |||||||||||
| Student Activities | Mid-Term Exam | Oral/Practical | Final Exam | ||||||||
| 20% | 20% | 20% | 40% | ||||||||
| CSE485 | Deep Learning | 3 CH | |||||||||
| Prerequisites | ( CSE381 ) | ||||||||||
| Number of weekly Contact Hours | |||||||||||
| Lecture | Tutorial | Laboratory | |||||||||
| 3 Hours | 1 Hour | 1 Hour | |||||||||
| Required SWL | 125 | Equivalent ECTS | 5 | ||||||||
| Course Content | |||||||||||
| Deep Learning algorithms learn multi-level representations of data, with each level explaining the data in a hierarchical manner. Such algorithms have been effective at uncovering underlying structure in data, e.g., features to discriminate between classes. They have been successful in many artificial intelligence problems including image classification, speech recognition and natural language processing. The course, which will be taught through lectures and projects, will cover the underlying theory, the range of applications to which it has been applied, and learning from very large data sets. The course will cover connectionist architectures commonly associated with deep learning, e.g., basic neural networks, convolutional neural networks and recurrent neural networks. Methods to train and optimize the architectures and methods to perform effective inference with them, will be the main focus. Students will be encouraged to use open source software libraries such as Tensorflow, PyTorch, and Keras. | |||||||||||
| Used in Program / Level | |||||||||||
| Program Name or requirement | Study Level | Semester | |||||||||
| Computer Engineering and Software Systems |
4 | ||||||||||
| Assessment Criteria | |||||||||||
| Student Activities | Mid-Term Exam | Oral/Practical | Final Exam | ||||||||
| 35% | 20% | 0% | 40% | ||||||||
| CSE485s | Deep Learning | 3 CH | |||||||||
| Prerequisites | ( CSE381s ) | ||||||||||
| Number of weekly Contact Hours | |||||||||||
| Lecture | Tutorial | Laboratory | |||||||||
| 3 Hours | 1 Hour | 1 Hour | |||||||||
| Required SWL | 125 | Equivalent ECTS | 5 | ||||||||
| Course Content | |||||||||||
| Deep Learning algorithms learn multi-level representations of data, with each level explaining the data in a hierarchical manner. Such algorithms have been effective at uncovering underlying structure in data, e.g., features to discriminate between classes. They have been successful in many artificial intelligence problems including image classification, speech recognition and natural language processing. The course, which will be taught through lectures and projects, will cover the underlying theory, the range of applications to which it has been applied, and learning from very large data sets. The course will cover connectionist architectures commonly associated with deep learning, e.g., basic neural networks, convolutional neural networks and recurrent neural networks. Methods to train and optimize the architectures and methods to perform effective inference with them, will be the main focus. Students will be encouraged to use open source software libraries such as Tensorflow, PyTorch, and Keras. | |||||||||||
| Assessment Criteria | |||||||||||
| Student Activities | Mid-Term Exam | Oral/Practical | Final Exam | ||||||||
| 20% | 20% | 20% | 40% | ||||||||
| CSE486 | Bioinformatics | 3 CH | |||||||||
| Prerequisites | ( CSE333 ) | ||||||||||
| Number of weekly Contact Hours | |||||||||||
| Lecture | Tutorial | Laboratory | |||||||||
| 3 Hours | 1 Hour | 1 Hour | |||||||||
| Required SWL | 125 | Equivalent ECTS | 5 | ||||||||
| Course Content | |||||||||||
| Fundamental biological, mathematical and algorithmic models underlying bioinformatics. Sequence analysis. Database search. Gene prediction. Molecular structure comparison and prediction. Phylogenetic trees. High throughput biology. Massive datasets. Applications in molecular biology and genetics. Use and extension of common bioinformatics tools. | |||||||||||
| Used in Program / Level | |||||||||||
| Program Name or requirement | Study Level | Semester | |||||||||
| Computer Engineering and Software Systems |
4 | ||||||||||
| Assessment Criteria | |||||||||||
| Student Activities | Mid-Term Exam | Oral/Practical | Final Exam | ||||||||
| 15% | 20% | 20% | 40% | ||||||||
| CSE486s | Bioinformatics | 3 CH | |||||||||
| Prerequisites | ( CSE333s ) | ||||||||||
| Number of weekly Contact Hours | |||||||||||
| Lecture | Tutorial | Laboratory | |||||||||
| 3 Hours | 1 Hour | 1 Hour | |||||||||
| Required SWL | 125 | Equivalent ECTS | 5 | ||||||||
| Course Content | |||||||||||
| Fundamental biological, mathematical and algorithmic models underlying bioinformatics. Sequence analysis. Database search. Gene prediction. Molecular structure comparison and prediction. Phylogenetic trees. High throughput biology. Massive datasets. Applications in molecular biology and genetics. Use and extension of common bioinformatics tools. | |||||||||||
| Assessment Criteria | |||||||||||
| Student Activities | Mid-Term Exam | Oral/Practical | Final Exam | ||||||||
| 20% | 20% | 20% | 40% | ||||||||
| CSE487 | Selected Topics in Multimedia & Computer Graphics | 3 CH | |||||||||
| Prerequisites | |||||||||||
| Number of weekly Contact Hours | |||||||||||
| Lecture | Tutorial | Laboratory | |||||||||
| 3 Hours | 1 Hour | 1 Hour | |||||||||
| Required SWL | 125 | Equivalent ECTS | 5 | ||||||||
| Course Content | |||||||||||
| Selected topics in recent directions in multimedia and computer graphics will be presented in this course. | |||||||||||
| Used in Program / Level | |||||||||||
| Program Name or requirement | Study Level | Semester | |||||||||
| Computer Engineering and Software Systems |
4 | ||||||||||
| Assessment Criteria | |||||||||||
| Student Activities | Mid-Term Exam | Oral/Practical | Final Exam | ||||||||
| 15% | 20% | 20% | 40% | ||||||||
| CSE487s | Selected Topics in Multimedia & Computer Graphics | 3 CH | |||||||||
| Prerequisites | |||||||||||
| Number of weekly Contact Hours | |||||||||||
| Lecture | Tutorial | Laboratory | |||||||||
| 3 Hours | 1 Hour | 1 Hour | |||||||||
| Required SWL | 125 | Equivalent ECTS | 5 | ||||||||
| Course Content | |||||||||||
| Selected topics in recent directions in multimedia and computer graphics will be presented in this course. | |||||||||||
| Assessment Criteria | |||||||||||
| Student Activities | Mid-Term Exam | Oral/Practical | Final Exam | ||||||||
| 20% | 20% | 20% | 40% | ||||||||
| CSE488 | Ontologies and the Semantic Web | 3 CH | |||||||||
| Prerequisites | ( CSE472 ) | ||||||||||
| Number of weekly Contact Hours | |||||||||||
| Lecture | Tutorial | Laboratory | |||||||||
| 3 Hours | 1 Hour | 1 Hour | |||||||||
| Required SWL | 125 | Equivalent ECTS | 5 | ||||||||
| Course Content | |||||||||||
| Logic-based knowledge representation. Basic reasoning tasks. Modelling in description logics: informal examples, ontologies, models and consistency of knowledge bases. Formal syntax and semantics. Reasoning tasks and the associated algorithms. Correctness proofs. Fasic reasoning tasks and their relations: concept satisfiability, subsumption, instance checking. Tableau-like algorithms and their implementation. Knowledge bases. ABoxes, reasoning over ABoxes, algorithms and implementation. Semantic web. Semantic web standards. | |||||||||||
| Used in Program / Level | |||||||||||
| Program Name or requirement | Study Level | Semester | |||||||||
| Computer Engineering and Software Systems |
4 | ||||||||||
| Assessment Criteria | |||||||||||
| Student Activities | Mid-Term Exam | Oral/Practical | Final Exam | ||||||||
| 15% | 20% | 20% | 40% | ||||||||
| CSE488s | Ontologies and the Semantic Web | 3 CH | |||||||||
| Prerequisites | ( CSE472s ) | ||||||||||
| Number of weekly Contact Hours | |||||||||||
| Lecture | Tutorial | Laboratory | |||||||||
| 3 Hours | 1 Hour | 1 Hour | |||||||||
| Required SWL | 125 | Equivalent ECTS | 5 | ||||||||
| Course Content | |||||||||||
| Logic-based knowledge representation. Basic reasoning tasks. Modelling in description logics: informal examples, ontologies, models and consistency of knowledge bases. Formal syntax and semantics. Reasoning tasks and the associated algorithms. Correctness proofs. Fasic reasoning tasks and their relations: concept satisfiability, subsumption, instance checking. Tableau-like algorithms and their implementation. Knowledge bases. ABoxes, reasoning over ABoxes, algorithms and implementation. Semantic web. Semantic web standards. | |||||||||||
| Assessment Criteria | |||||||||||
| Student Activities | Mid-Term Exam | Oral/Practical | Final Exam | ||||||||
| 20% | 20% | 20% | 40% | ||||||||
| CSE489 | Selected Topics in Data Science | 3 CH | |||||||||
| Prerequisites | |||||||||||
| Number of weekly Contact Hours | |||||||||||
| Lecture | Tutorial | Laboratory | |||||||||
| 3 Hours | 1 Hour | 1 Hour | |||||||||
| Required SWL | 125 | Equivalent ECTS | 5 | ||||||||
| Course Content | |||||||||||
| This course covers the most common models of computational language, including both statistical and non-statistical approaches. Students explore the intricate and systematic behavior of languages through examining different linguistic phenomena. The course also familiarizes students with some key algorithms used to solve problems related to natural language processing. Topics include: Introduction to Natural Language Processing; words, morphology, and lexicons; Chomsky hierarchy and natural language; natural language processing tasks in syntax, semantics, and pragmatics; NLP applications such as information extraction, question answering, and machine translation; parsing algorithms; treebanks and parsing evaluation; lexical semantics and semantic disambiguation problems; probability and language models; different models of machine translation including statistical, rule-based, and hybrid translation, the role of machine learning; word alignment, phrase-based translation; and synchronous grammars. | |||||||||||
| Used in Program / Level | |||||||||||
| Program Name or requirement | Study Level | Semester | |||||||||
| Computer Engineering and Software Systems |
4 | ||||||||||
| Assessment Criteria | |||||||||||
| Student Activities | Mid-Term Exam | Oral/Practical | Final Exam | ||||||||
| 15% | 20% | 20% | 40% | ||||||||
| CSE489s | Selected Topics in Data Science | 3 CH | |||||||||
| Prerequisites | |||||||||||
| Number of weekly Contact Hours | |||||||||||
| Lecture | Tutorial | Laboratory | |||||||||
| 3 Hours | 1 Hour | 1 Hour | |||||||||
| Required SWL | 125 | Equivalent ECTS | 5 | ||||||||
| Course Content | |||||||||||
| Selected topics in recent directions in data science will be presented in this course. | |||||||||||
| Assessment Criteria | |||||||||||
| Student Activities | Mid-Term Exam | Oral/Practical | Final Exam | ||||||||
| 20% | 20% | 20% | 40% | ||||||||
| CSE491 | Computer & Systems Engineering Graduation Project (1) | 3 CH | |||||||||
| Prerequisites | |||||||||||
| Number of weekly Contact Hours | |||||||||||
| Lecture | Tutorial | Laboratory | |||||||||
| 0 Hours | 0 Hours | 5 Hours | |||||||||
| Required SWL | 175 | Equivalent ECTS | 7 | ||||||||
| Course Content | |||||||||||
| This course represents the first part of the graduation project, where the students work in the graduation projects under the supervision of faculty members. | |||||||||||
| Used in Program / Level | |||||||||||
| Program Name or requirement | Study Level | Semester | |||||||||
| Computer Engineering and Software Systems |
5 | 9 | |||||||||
| Assessment Criteria | |||||||||||
| Student Activities | Mid-Term Exam | Oral/Practical | Final Exam | ||||||||
| 60% | 0% | 40% | 0% | ||||||||
| CSE491s | Computer & Systems Engineering Graduation Project (1) | 3 CH | |||||||||
| Prerequisites | |||||||||||
| Number of weekly Contact Hours | |||||||||||
| Lecture | Tutorial | Laboratory | |||||||||
| 0 Hours | 0 Hours | 5 Hours | |||||||||
| Required SWL | 175 | Equivalent ECTS | 7 | ||||||||
| Course Content | |||||||||||
| This course represents the first part of the graduation project, where the students work in the graduation projects under the supervision of faculty members. This course is a real-life like experience where students team up to solve a real problem. The output of this course is a prototype with a partial implementation that shows the feasibility and the benefits of their future complete solution. | |||||||||||
| Used in Program / Level | |||||||||||
| Program Name or requirement | Study Level | Semester | |||||||||
| Computer and Systems Engineering |
5 | 9 | |||||||||
| Assessment Criteria | |||||||||||
| Student Activities | Mid-Term Exam | Oral/Practical | Final Exam | ||||||||
| 40% | 0% | 60% | 0% | ||||||||
| CSE492 | Computer & Systems Engineering Graduation Project (2) | 3 CH | |||||||||
| Prerequisites | ( CSE491 ) | ||||||||||
| Number of weekly Contact Hours | |||||||||||
| Lecture | Tutorial | Laboratory | |||||||||
| 0 Hours | 0 Hours | 5 Hours | |||||||||
| Required SWL | 175 | Equivalent ECTS | 7 | ||||||||
| Course Content | |||||||||||
| As a continuation of the first part of the graduation project, the students continue work in the graduation projects under the supervision of faculty members. | |||||||||||
| Used in Program / Level | |||||||||||
| Program Name or requirement | Study Level | Semester | |||||||||
| Computer Engineering and Software Systems |
5 | 10 | |||||||||
| Assessment Criteria | |||||||||||
| Student Activities | Mid-Term Exam | Oral/Practical | Final Exam | ||||||||
| 60% | 0% | 40% | 0% | ||||||||
| CSE492s | Computer & Systems Engineering Graduation Project (2) | 3 CH | |||||||||
| Prerequisites | ( CSE491s ) | ||||||||||
| Number of weekly Contact Hours | |||||||||||
| Lecture | Tutorial | Laboratory | |||||||||
| 0 Hours | 0 Hours | 5 Hours | |||||||||
| Required SWL | 175 | Equivalent ECTS | 7 | ||||||||
| Course Content | |||||||||||
| As a continuation of the first part of the graduation project, the students continue work in the graduation projects under the supervision of faculty members. | |||||||||||
| Used in Program / Level | |||||||||||
| Program Name or requirement | Study Level | Semester | |||||||||
| Computer and Systems Engineering |
5 | 10 | |||||||||
| Assessment Criteria | |||||||||||
| Student Activities | Mid-Term Exam | Oral/Practical | Final Exam | ||||||||
| 40% | 0% | 60% | 0% | ||||||||