EEE5600 Introduction to Information and Coding TheoryBahçeşehir UniversityDegree Programs NEW MEDIAGeneral Information For StudentsDiploma SupplementErasmus Policy StatementNational QualificationsBologna Commission
NEW MEDIA
Bachelor TR-NQF-HE: Level 6 QF-EHEA: First Cycle EQF-LLL: Level 6

Course Introduction and Application Information

Course Code Course Name Semester Theoretical Practical Credit ECTS
EEE5600 Introduction to Information and Coding Theory 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: Non-Departmental Elective
Course Level: Bachelor’s Degree (First Cycle)
Mode of Delivery:
Course Coordinator : Assoc. Prof. SAEID KARAMZADEH
Course Lecturer(s): Assoc. Prof. ALKAN SOYSAL
Recommended Optional Program Components: none..........
Course Objectives: The aim of this course is to understand, in detail, basic information theory and coding theory arguments. Information theoretic analysis covers entropy/mutual information, source and channel coding. Coding theory analysis covers code construction, linear codes, cyclic and convolutional codes, near capacity codes.

Learning Outcomes

The students who have succeeded in this course;
1. Understand basic concepts and definitions of information theory
2. Know and apply source and channel coding theorems
3. Gain knowledge on code constructions
4. Understand basic concepts of coding theory
5. Apply modern error correcting codes

Course Content

This course covers basics of information theory and coding theory. The course starts with definitions of information theoretic quantities such as entropy, mutual information, etc. It covers Shannon's source coding theorem and explains Shannon codes and Huffman codes. Then Shannon's channel coding theorem is analyzed and capacity values of several channels are calculated. In the second half of the course, basic code construction methods are explained. Linear codes, cyclic codes, convolutional codes are introduced.

Weekly Detailed Course Contents

Week Subject Related Preparation
1) Introduction to basic concepts of information transfer
2) Define concepts of entropy, relative entropy, conditional entropy
3) Definition of mutual information and its calculation for different scenarios.
4) Source coding theorem
5) Applications of source coding theorem: Shannon codes, Huffman codes
6) Channel coding theorem
7) Differential entropy
8) Capacity calculations for different channel models. Midterm
9) The Gaussian channel and its capacity
10) Basics of code construction, Error detection and correction
11) Linear block codes
12) Cyclic codes
13) Convolutional codes
14) Near capacity codes

Sources

Course Notes / Textbooks: Thomas and Cover, "Elements of Information Theory", 2nd Edition, Wiley.
References: none..........

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 Workload
Course Hours 14 42
Project 4 50
Midterms 8 60
Final 4 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
1) To be able to critically interpret and discuss the theories, the concepts, the traditions, and the developments in the history of thought which are fundamental for the field of new media, journalism and communication.
2) To be able to attain written, oral and visual knowledge about technical equipment and software used in the process of news and the content production in new media, and to be able to acquire effective abilities to use them on a professional level.
3) To be able to get information about the institutional agents and generally about the sector operating in the field of new media, journalism and communication, and to be able to critically evaluate them.
4) To be able to comprehend the reactions of the readers, the listeners, the audiences and the users to the changing roles of media environments, and to be able to provide and circulate an original contents for them and to predict future trends.
5) To be able to apprehend the basic theories, the concepts and the thoughts related to neighbouring fields of new media and journalism in a critical manner.
6) To be able to grasp global and technological changes in the field of communication, and the relations due to with their effects on the local agents.
7) To be able to develop skills on gathering necessary data by using scientific methods, analyzing and circulating them in order to produce content.
8) To be able to develop acquired knowledge, skills and competence upon social aims by being legally and ethically responsible for a lifetime, and to be able to use them in order to provide social benefit.
9) To be able to operate collaborative projects with national/international colleagues in the field of new media, journalism and communication.
10) To be able to improve skills on creating works in various formats and which are qualified to be published on the prestigious national and international channels.