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Information Theory and Coding

What Will Learn?

  • Course Aims
  • Course Goals
  • Industry, Innovation and Infrastructure
  • Sustainable Cities and Communities

Requirements

ECE363

Description

  • English Description

    Introduction to Information Theory. Uncertainty, Information, Entropy. Data Compaction. Discrete Memoryless Channels. Mutual Information, Channel Capacity. Shannon Capacity. Linear Block Codes. Cyclic Codes, Convolutional Codes. Viterbi Decoder.
  • Arabic Description

    Introduction to Information Theory. Uncertainty, Information, Entropy. Data Compaction. Discrete Memoryless Channels. Mutual Information, Channel Capacity. Shannon Capacity. Linear Block Codes. Cyclic Codes, Convolutional Codes. Viterbi Decoder.
  • Department
    Electronics and Communications Engineering
  • Credit Hours
    3
  • Grades
    Total ( 100 ) = Midterm (20) + tr.Major Assessment (25 = tr.Industry 0% , tr.Project 20% , tr.Self_learning 0% , tr.Seminar 10% ) + tr.Minor Assessment (5) + tr.Oral/Practical (10) + Exam Grade (40)
  • Hours
    Lecture Hours: 2, Tutorial Hours: 1, Lab Hours: 2
  • Required SWL
    125
  • Equivalent ECTS
    5
  • • Simon Haykin “Communication Systems”, 6th Edition 2018
  • • Digital Communications, 5th edition, by John Proakis & Masoud Salehi, McGraw-
  • • Hill, 2008.
  • • Thomas M. Cover, Joy A. Thomas, “Elements of Information Theory”, John Wileys & sons, 2nd edition, 2006. - Simon Haykin “Communication Systems”, 6th Edition 2018.