EEE6629 Network Information TheoryBahçeşehir UniversityDegree Programs ELECTRIC-ELECTRONIC ENGINEERING (ENGLISH, PHD)General Information For StudentsDiploma SupplementErasmus Policy StatementNational QualificationsBologna Commission
ELECTRIC-ELECTRONIC ENGINEERING (ENGLISH, PHD)
PhD TR-NQF-HE: Level 8 QF-EHEA: Third Cycle EQF-LLL: Level 8

Course Introduction and Application Information

Course Code Course Name Semester Theoretical Practical Credit ECTS
EEE6629 Network Information Theory Fall
Spring
3 0 3 12
This catalog is for information purposes. Course status is determined by the relevant department at the beginning of semester.

Basic information

Language of instruction: English
Type of course: Departmental Elective
Course Level:
Mode of Delivery: Face to face
Course Coordinator : Assoc. Prof. SAEID KARAMZADEH
Recommended Optional Program Components: None
Course Objectives: The aim of this course is to obtain an advanced level of understanding on information theory and coding, in particular, source and channel coding with multiple users, broadcast channel, multiple access channel, compound channel, coding for correlated data.

Learning Outcomes

The students who have succeeded in this course;
1. Describe basic information theory
2. Understand the effects of multi-user on information theory and coding
3. Differentiate multi-user problems, their advantages and disadvantages
4. Gain knowledge on broadcast channel, multiple access channel
5. Understand relay and compound channels
6. Describe coding for correlated data

Course Content

This course starts with a review of basic information theory and coding theory. It defines multi-user information theoretic quantities. Then multi-user source and channel coding concepts are covered. Various multiple user channels are introduced and analyzed. Finally, it analyzes the effect of correlation on source and channel coding problems.

Weekly Detailed Course Contents

Week Subject Related Preparation
1) Review of Information Theory
2) Review of Coding Theory
3) Multi-user information theoretic quantities
4) Source coding for multi-users
5) Source coding with side information
6) Channel coding for multi-users
7) Broadcast Channel, Multi-access channel
8) Joint source and Channel Coding. Midterm
9) Compound Channel
10) Relay Channel
11) Coding for Correlated Data
12) Information theory for large Networks
13) Network Coding
14) Wireless Network Coding

Sources

Course Notes / Textbooks: Abbas El-gamal, Network Information Theory, Cambridge University Press, 2012
References:

Evaluation System

Semester Requirements Number of Activities Level of Contribution
Project 1 % 30
Midterms 1 % 30
Final 1 % 40
Total % 100
PERCENTAGE OF SEMESTER WORK % 30
PERCENTAGE OF FINAL WORK % 70
Total % 100

ECTS / Workload Table

Activities Number of Activities Duration (Hours) Workload
Course Hours 14 3 42
Project 1 50 50
Midterms 1 60 60
Final 1 48 48
Total Workload 200

Contribution of Learning Outcomes to Programme Outcomes

No Effect 1 Lowest 2 Low 3 Average 4 High 5 Highest
           
Program Outcomes Level of Contribution