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Introduction to Artificial Intelligence

What Will Learn?

  • Course Aims
    The aim of this course is to introduce the essential concepts in artificial intelligence that include a wide range of searching techniques and their application to real-world problems. Formulate problems using suitable knowledge representation. Use expert system to reason about knowledge. Understand the basic learning methods for handling uncertain real-world data.
  • Course Goals
  • Decent Work and Economic Growth
  • Industry, Innovation and Infrastructure
  • Sustainable Cities and Communities

Requirements

PHM114 AND CSE141

Description

  • English Description

    Intelligent agents. Knowledge representation: logic, frames, semantic networks, scripts. Problem solving, state-space and tree representations, uninformed search, informed search, optimal search. Constraint satisfaction. Genetic algorithms. Adversarial search. Planning. Expert systems: rule-based systems, inference, structure. Handling uncertainty. Decision theory.
  • Arabic Description

    Intelligent agents. Knowledge representation: logic, frames, semantic networks, scripts. Problem solving, state-space and tree representations, uninformed search, informed search, optimal search. Constraint satisfaction. Genetic algorithms. Adversarial search. Planning. Expert systems: rule-based systems, inference, structure. Handling uncertainty. Decision theory.
  • Department
    Computer and Systems Engineering
  • Credit Hours
    3
  • Grades
    Total ( 100 ) = Midterm (25) + tr.Major Assessment (30 = tr.Industry 0% , tr.Project 15% , tr.Self_learning 5% , tr.Seminar 15% ) + tr.Minor Assessment (5) + Exam Grade (40)
  • Hours
    Lecture Hours: 3, Tutorial Hours: 1, Lab Hours: 0
  • Required SWL
    125
  • Equivalent ECTS
    5
  • - Stuart Russell and Peter Norvig.Artificial Intelligence: A Modern Approach 4th Edition, Pearson Education, Inc., 2020, ISBN 978- 0136042594.
  • - Patrick Henry Winston, Artificial Intelligence, 3rd Edition, Addison Wesley, 1993 - Stuart Russell and Peter Norvig.Artificial Intelligence: A Modern Approach 4th Edition, Pearson Education, Inc., 2020, ISBN 9780136042594.