Syllabus Application
EE 654
Information Theory
Faculty
Faculty of Engineering and Natural Sciences
Semester
Spring 2025-2026
Course
EE 654 -
Information Theory
Time/Place
Time
Week Day
Place
Date
14:40-16:30
Wed
FENS-L047
Feb 16-May 22, 2026
14:40-15:30
Thu
FENS-L047
Feb 16-May 22, 2026
Level of course
Masters
Course Credits
SU Credit:3, ECTS:10
Prerequisites
-
Corequisites
-
Course Type
Lecture
Instructor(s) Information
Özgür Erçetin
- Email: oercetin@sabanciuniv.edu
Hüseyin Özkan
- Email: hozkan@sabanciuniv.edu
Course Information
Catalog Course Description
Entropy and mutual information concepts, Markov chains and entropy rate. Shannon�s lossless source coding, channel capacity, white and colored Gaussian channels, rate distortion theory with applications to scalar and vector quantizer design. Multi-user information theory and applications.
Course Learning Outcomes:
| 1. | Building a mathematical model of concrete concepts. |
|---|---|
| 2. | Understanding the limits of compression and transmission |
| 3. | Analyze and design compression and error correction control algorithms |
Course Objective
To learn about information, how to measure it and how to use it to better design inference systems.
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Course Materials
Resources:
Thomas and Cover, "Elements of Information Theory", 2nd Edition