كلية الهندسة - جامعة عين شمس, الرئيسية
Information Theory
What Will Learn?
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Course Aims
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Course Goals
- Quality Education
- Affordable and Clean Energy
- Industry, Innovation and Infrastructure
Requirements
ECE352s
Description
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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.
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قسمهندسة الإلكترونيات والإتصالات
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الساعات المعتمدة3
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الدرجاتالإجمالي ( 100 ) = نصف العام (20) + tr.Student Activities (30 = tr.Industry 0% , tr.Project 0% , tr.Self_learning 0% , tr.Seminar 30% ) + درجة الامتحان (50)
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الساعاتساعات المحاضرة: 2, ساعات التعليم: 2, ساعات المعمل: 0
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Required SWL125
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Equivalent ECTS5
- - 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.