MT415 Coding Theory

5 ECTS - 3-0 Duration (T+A)- 7. Semester- 3 National Credit

Information

Unit FACULTY OF SCIENCE AND LETTERS
MATHEMATICS PR.
Code MT415
Name Coding Theory
Term 2019-2020 Academic Year
Semester 7. Semester
Duration (T+A) 3-0 (T-A) (17 Week)
ECTS 5 ECTS
National Credit 3 National Credit
Teaching Language Türkçe
Level Lisans Dersi
Type Normal
Label E Elective
Mode of study Yüz Yüze Öğretim
Catalog Information Coordinator Prof. Dr. GONCA AYIK
Course Instructor Prof. Dr. GONCA AYIK (Güz) (A Group) (Ins. in Charge)


Course Goal / Objective

The aim of this course is to explain mathematical foundations of the coding theory to students.

Course Content

In this course source coding, uniquely decodable codes, instantaneous codes, Kraft and McMillan inequalities, optimal codes, binary Huffman codes, extensions of sources, information and entropy, Shannon Fano coding, Sahnnon first theorem, information channels, binary symmetric channels, using an unreliable channel, error-correction codes, linear coding are described.

Course Precondition

Resources

Information and coding theory, G. A. Jones and J.M. Jones, Springer, 2000.

Notes



Course Learning Outcomes

Order Course Learning Outcomes
LO01 Realises the technical definition and is able to explain the concept of coding.
LO02 Recognises different types of codes.
LO03 Recognises the concepts of information and coding.
LO04 Realises the basic theorems in Coding Theory
LO05 Realises the error correction concepts.
LO06 Realises Kraft and McMillan inequalities.
LO07 Realises extensions of sources.
LO08 Realises linear coding.


Relation with Program Learning Outcome

Order Type Program Learning Outcomes Level
PLO01 - Comprehend the ability to prove the mathematical knowledge gained in secondary education on the basis of theoretical basis. 4
PLO02 - Understands importance of basic consepts of Algebra, Analaysis and Topology. 5
PLO03 - Mathematical reasoning demonstrates the ability to develop and write mathematical proofs by gaining maturity. 2
PLO04 - Demonstrate the ability to express the basic theories of mathematics both correctly. 5
PLO05 - Understands the relationship between the different fields of mathematics and its relation to other disciplines. 4
PLO06 - Comprehends the ability to understand the relationships between the objects in the most understandable way while creating a model for any problem. 4
PLO07 - Comprehend and explain mathematical models such as formulas, graphs, tables and schema. 3
PLO08 - Demonstrate the ability to mathematically rearrange, analyze, and model the problems they encounter. 3
PLO09 - Comprehends at least one of the computer programming languages. 0
PLO10 - Demonstrate the ability to use scientific methods and appropriate technologies effectively in problem solving. 4
PLO11 - Understands sufficient knowledge of foreign language to be able to understand Mathematical concepts and communicate with other mathematicians 3
PLO12 - In addition to their professional development, they demonstrate their ability to continuously improve themselves by identifying their educational needs in scientific, cultural, artistic and social areas in line with their interests and abilities. 5
PLO13 - Understands the programming techniques and shows the ability to do programming. 4
PLO14 - Demonstrates the ability to study mathematics both independently and as a group. 5
PLO15 - Demonstrate an awareness of the universal and social impacts and legal consequences of mathematical applications in the field of study. 5
PLO16 - Demonstrate the ability to select, use and develop effectively for contemporary mathematical applications. 5
PLO17 - It has ability of lifelong learning awareness, access to information, monitoring developments in science and technology and self-renewal ability. 5
PLO18 - Gains the ability to use information technologies effectively for contemporary mathematical applications. 5
PLO19 - Gains the ability to design, conduct experiments, field work, data collection, analysis, archiving, text solving and / or interpretation according to mathematics fields. 5
PLO20 - Gains the consciousness of prefesional ethics and responsibility. 5


Week Plan

Week Topic Preparation Methods
1 Source coding Reading the relevant parts of the textbook
2 Uniquely decodable codes, instantaneous codes Reading the relevant parts of the textbook
3 Kraft and McMillan inequalities Reading the relevant parts of the textbook
4 Optimal codes Reading the relevant parts of the textbook
5 Binary Huffman codes Reading the relevant parts of the textbook
6 Extensions of sources Reading the relevant parts of the textbook
7 Information and entropy Reading the relevant parts of the textbook
8 Mid-Term Exam Review
9 Shannon-Fano coding Reading the relevant parts of the textbook
10 Shannon s First Theorem Reading the relevant parts of the textbook
11 Information channels Reading the relevant parts of the textbook
12 Binary symmetric channels Reading the relevant parts of the textbook
13 Using an unreliable channel Reading the relevant parts of the textbook
14 Linear coding Reading the relevant parts of the textbook
15 Review Review
16 Term Exams Review
17 Term Exams Review


Assessment (Exam) Methods and Criteria

Assessment Type Midterm / Year Impact End of Term / End of Year Impact
1. Midterm Exam 100 40
General Assessment
Midterm / Year Total 100 40
1. Final Exam - 60
Grand Total - 100


Student Workload - ECTS

Works Number Time (Hour) Workload (Hour)
Course Related Works
Class Time (Exam weeks are excluded) 14 3 42
Out of Class Study (Preliminary Work, Practice) 14 3 42
Assesment Related Works
Homeworks, Projects, Others 0 0 0
Mid-term Exams (Written, Oral, etc.) 1 12 12
Final Exam 1 18 18
Total Workload (Hour) 114
Total Workload / 25 (h) 4,56
ECTS 5 ECTS

Update Time: 29.04.2025 12:42