EEE5600 Introduction to Information and Coding TheoryBahçeşehir UniversityDegree Programs SOCIOLOGYGeneral Information For StudentsDiploma SupplementErasmus Policy StatementNational QualificationsBologna Commission
SOCIOLOGY
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 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) To learn and compare major sociology perspectives, both classical and contemporary, and apply all of them to analysis of social conditions.
2) To be able to identify the basic methodological approaches in building sociological and anthropological knowledge at local and global levels
3) To be able to use theoretical and applied knowledge acquired in the fields of statistics in social sciences.
4) To have a basic knowledge of other disciplines (including psychology, history, political science, communication studies and literature) that can contribute to sociology and to be able to make use of this knowledge in analyzing sociological processes
5) To have a knowledge and practice of scientific and ethical principles in collecting, interpreting and publishing sociological data also develop ability how to share this data with experts and lay people, using effective communication skills
6) To develop competence in analyzing and publishing sociological knowledge by using computer software for quantitative and qualitative analysis; and develop an attitute for learning new techniques in these fields.
7) To identify and to have a knowledge of the theories related to urban and rural sociology and demography, and political sociology, sociology of gender, sociology of body, visual sociology, sociology of work, sociology of religion, sociology of knowledge and sociology of crime.
8) To have knowledge of how sociology is positioned as a scientific discipline from a philosophical and historical perspective
9) To have the awareness of social issues in Turkish society, to develop critical perspective in analysing these issues and to have a knowledge of the works of Turkish sociologists and to be able to transfer this knowledge
10) To have the awareness of social issues and global societal processes and to apply sociological analysis to development and social responsibility projects
11) To have the ability to define a research question, design a research project and complete a written report for various fields of sociology, either as an individual or as a team member.
12) To be able to transfer the knowledge gained in the areas of sociology to the level of secondary school.