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Information Theory

What Will Learn?

  • Course Aims
  • Course Goals
  • Quality Education
  • Affordable and Clean Energy
  • Industry, Innovation and Infrastructure

Requirements

ECE352s

Description

  • English Description

    Introduction to Information Theory. Uncertainty, Information, Entropy. Source-Coding Theorem. Data Compaction. Discrete Memoryless Channels. Mutual Information, Channel Capacity. Channel-Coding Theorem. Source Coding.
  • Arabic Description

    Introduction to Information Theory. Uncertainty, Information, Entropy. Source-Coding Theorem. Data Compaction. Discrete Memoryless Channels. Mutual Information, Channel Capacity. Channel-Coding Theorem. Source Coding.
  • Department
    Electronics and Communications Engineering
  • Credit Hours
    3
  • Grades
    Total ( 100 ) = Midterm (20) + tr.Student Activities (30 = tr.Industry 0% , tr.Project 0% , tr.Self_learning 0% , tr.Seminar 30% ) + Exam Grade (50)
  • Hours
    Lecture Hours: 2, Tutorial Hours: 2, Lab Hours: 0
  • 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. - Dennis Roddy, Satellite Communications, McGraw Hill, 3rd edition, 2001.