University :Mansoura University |
Faculty :Faculty of Computers and Information |
Department :Computer Science |
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| 1- Course data :- |
| | Code: | نمع324 | | Course title: | Selected Topics-3 - نظريه المعلومات | | Year/Level: | رابعة نظم المعلومات | | Program Title: | | | Specialization: | | | Teaching Hours: | Theoretical: | 3 | Tutorial: | | Practical: | 3 |
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| 2- Course aims :- |
| - Tech students the fundamentas of Information Theory, and data compression .
- Teach the students the communication model and discuss the different related terms and components as data compression, encription, channel capacity, channel rate,and error correcting codes.
- Teach the students some of the data compression techniques.
- Broadcast channel. Multiple access channel capacity. Optimal investment and information theory.
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| 3- Course Learning Outcomes :- |
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| 4- Course contents :- |
| | No | Topics | Week |
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| 1 | Channel Capacity and Mutual Information | | | 2 | Capacity of some channels (BSC, Erasure ans Z Channels) | | | 3 | Introduction to Data Compression | | | 4 | Optimum Codes | | | 5 | Huffman Codes | | | 6 | Huffman Codes and Review for Mid-Term Exam | | | 7 | Shannon Codes and Shannon-Fano ELias Codes | | | 8 | Arithemtic Codes | | | 9 | Introduction to Cryptography | | | 10 | Introduction to Information Theory and Application | | | 11 | Difference between Communication Theory and Information Theory and discuss Communication Models and discuss the Components | | | 12 | Entropy, Relative Entropy and some rules | | | 13 | Shannon's Theorem and applications | |
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| 5- Teaching and learning methods :- |
| | S | Method |
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| BlackBoard | | DataShow | | Project + Practical |
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| 6- Teaching and learning methods of disables :- |
| No data found. |
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| 7- Student assessment :- |
| A. Timing |
| | No | Method | Week |
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| 1 | Mid-Term Exam | 10 | | 2 | Oral | 13 | | 3 | Project Discussion | 13 | | 4 | Final-Exam | 13 |
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| B. Degree |
| | No | Method | Degree |
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| 1 | Mid_term examination | 10 | | 2 | Final_term examination | 75 | | 3 | Oral examination | 5 | | 4 | Practical examination | 5 | | 5 | Semester work | 5 | | 6 | Other types of asessment | | | Total | 100% |
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| 8- List of books and references |
| | S | Item | Type |
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| 1 | Elements of Information Theory," by Cover and Thomas, New York: Wiley, 1991. | | | 2 | Claude Elwood Shannon: Collected Papers," edited by Sloane and Wyner, New York: IEEE Press, 1993 | | | 3 | Information Theory, Inference & Learning Algorithms, David J. C. MacKay, Cambridge University Press; 1st edition (June 15, 2002). | |
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| 9- Matrix of knowledge and skills of the course |
| | S | Content | Study week |
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| Channel Capacity and Mutual Information | | | Capacity of some channels (BSC, Erasure ans Z Channels) | | | Introduction to Data Compression | | | Optimum Codes | | | Huffman Codes | | | Huffman Codes and Review for Mid-Term Exam | | | Shannon Codes and Shannon-Fano ELias Codes | | | Arithemtic Codes | | | Introduction to Cryptography | | | Introduction to Information Theory and Application | | | Difference between Communication Theory and Information Theory and discuss Communication Models and discuss the Components | | | Entropy, Relative Entropy and some rules | | | Shannon's Theorem and applications | |
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| Course Coordinator(s): - |
| - Sherief Ebrahim Ebrahim Barakat
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| Head of department: - |
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