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EE852 Information Theory & Coding
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Campus
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PNEC
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Programs
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PG
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Session
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Fall Semester 2016
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Course Title
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Information Theory & Coding
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Course Code
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EE852
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Credit Hours
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3-0
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Pre-Requisutes
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EE891 Stochastic Systems
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Course Objectives
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This course is intended to be a first semester postgraduate (core) course in communications engineering for the students planning to develop the fundamental principles of bandwidth efficient, error-free and reliable data transmission in communication systems. The course is aimed to build a comprehensive foundation in the analysis and design of generic and specialized source and channel coding techniques with brief introduction to encryption techniques.
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Detail Content
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| Topics |
Textbook Section |
| Introduction to Information Theory |
Bose, Chapter 1 Proakis and Salehi, Chapter 6 |
| Shannon’s Channel Capacity Theorem |
Bose, Chapter 2 Sklar and Ray, Chapter 9 |
| Expression of Bit error rates in terms of SNR for MLD (Maximum Likelihood Detection) |
Proakis and Salehi, Chapter 4 Class Notes |
| Source Coding Algorithms |
Bose, Chapter 1 Proakis and Salehi, Chapter 6 |
| Channel Coding Algorithms (Block codes) |
Bose, Chapters 2,3 Sklar and Ray, Chapter 6 Proakis and Salehi, Chapter 7 |
| Channel Coding Algorithms (Convolutional codes) |
Bose, Chapter 6 Sklar and Ray, Chapter 7 Proakis and Salehi, Chapter 8 |
| Introduction to Cyptography |
Bose, Chapter 8 |
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Text/Ref Books
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- Ranjan Bose, Information Theory, Coding and Cryptography, McGraw Hill , 2nd Ed, 2008
- Proakis&Salehi, Digital Communications, McGraw Hill Intl Ed, 5th Ed, 2008
- Sklar& Kumar Ray, Digital Communications-Fundamentals and Applications, 2nd Edition, Pearson, 2009
- Carlson, Crilly and Rutledge, Communication Systems-An Introduction to Signals and Noise in Electrical Communications, 4th Edition, McGraw Hill Intl Ed, 2002
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Time Schedule
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Fall Semester 2014
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Faculty/Resource Person
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Dr Sameer Qazi
MS/PhD University of New South Wales, Australia
Discipline: Computer Networks
Specialization: Computer Network Optimization
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