EEE5600 Introduction to Information and Coding TheoryBahçeşehir UniversityDegree Programs PHOTOGRAPHY AND VIDEOGeneral Information For StudentsDiploma SupplementErasmus Policy StatementNational QualificationsBologna Commission
PHOTOGRAPHY AND VIDEO
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
Fall
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) Knowledge of photographic and video media and ability to use basic, intermediate and advanced techniques of these media.
2) Ability to understand, analyze and evaluate theories, concepts and uses of photography and video.
3) Ability to employ theoretical knowledge in the areas of the use of photography and video.
4) Familiarity with and ability to review the historical literature in theoretical and practical studies in photography and video.
5) Ability in problem solving in relation to projects in photography and video.
6) Ability to generate innovative responses to particular and novel requirements in photography and video.
7) Understanding and appreciation of the roles and potentials of the image across visual culture
8) Ability to communicate distinctively by means of photographic and video images.
9) Experience of image post-production processes and ability to develop creative outcomes through this knowledge.
10) Knowledge of and ability to participate in the processes of production, distribution and use of photography and video in the media.
11) Ability to understand, analyze and evaluate global, regional and local problematics in visual culture.
12) Knowledge of and ability to make a significant contribution to the goals of public communication.
13) Enhancing creativity via interdisciplinary methods to develop skills for realizing projects.
14) Gaining general knowledge about the points of intersection of communication, art and technology.