ECTS - Coding Theory
Coding Theory (MATH326) Course Detail
| Course Name | Course Code | Season | Lecture Hours | Application Hours | Lab Hours | Credit | ECTS |
|---|---|---|---|---|---|---|---|
| Coding Theory | MATH326 | Area Elective | 3 | 0 | 0 | 3 | 6 |
| Pre-requisite Course(s) |
|---|
| N/A |
| Course Language | English |
|---|---|
| Course Type | Elective Courses |
| Course Level | Bachelor’s Degree (First Cycle) |
| Mode of Delivery | Face To Face |
| Learning and Teaching Strategies | Lecture, Question and Answer. |
| Course Lecturer(s) |
|
| Course Objectives | This course is designed to introduce the basic concepts of Coding Theory. |
| Course Learning Outcomes |
The students who succeeded in this course;
|
| Course Content | Error detection, correction and decoding, finite fields, linear codes, bounds in coding theory, construction of linear codes, cyclic codes. |
Weekly Subjects and Releated Preparation Studies
| Week | Subjects | Preparation |
|---|---|---|
| 1 | Error Detection, Correction and Decoding | pp. 5-14 |
| 2 | Fields (review), Polynomial Rings (review), Structure Of Finite Fields | pp. 17-26, pp. 26-30 |
| 3 | Minimal Polynomials, Vector Spaces Over Finite Fields | pp. 30-35, pp. 39-44 |
| 4 | Linear Codes, Hamming Weight, Bases For Linear Codes | pp. 45-52 |
| 5 | Generator Matrix and Parity-check Matrix, Equivalence of Linear Codes, Encoding with a Linear Code, Decoding with a Linear Code | pp. 52-59 |
| 6 | Cosets, Nearest Neighbourhood Decoding For Linear Codes, Syndrome Decoding | pp. 59-66 |
| 7 | Midterm Exam | |
| 8 | Some Bounds In Coding Theory | pp. 75-84 |
| 9 | Hamming Codes, Golay codes, Singleton bound and MDS codes | pp. 84-95 |
| 10 | Construction Of Linear Codes | pp. 113-126 |
| 11 | Cyclic Codes | pp. 133-145 |
| 12 | Decoding Of Cyclic Codes | pp. 145-150 |
| 13 | BCH codes | pp. 159-168 |
| 14 | Decoding of BCH codes, Reed-Solomon codes | pp. 168-175 |
| 15 | Review | |
| 16 | Final Exam |
Sources
| Course Book | 1. Coding Theory, A First Course, San Ling, Chaoping Xing, Cambridge University Press, 2004 |
|---|---|
| Other Sources | 2. Introduction to Coding Theory, J. H. Van Lint, Springer, 1999 |
Evaluation System
| Requirements | Number | Percentage of Grade |
|---|---|---|
| Attendance/Participation | - | - |
| Laboratory | - | - |
| Application | - | - |
| Field Work | - | - |
| Special Course Internship | - | - |
| Quizzes/Studio Critics | - | - |
| Homework Assignments | 4 | 10 |
| Presentation | - | - |
| Project | - | - |
| Report | - | - |
| Seminar | - | - |
| Midterms Exams/Midterms Jury | 2 | 50 |
| Final Exam/Final Jury | 1 | 40 |
| Toplam | 7 | 100 |
| Percentage of Semester Work | 60 |
|---|---|
| Percentage of Final Work | 40 |
| Total | 100 |
Course Category
| Core Courses | |
|---|---|
| Major Area Courses | X |
| Supportive Courses | |
| Media and Managment Skills Courses | |
| Transferable Skill Courses |
The Relation Between Course Learning Competencies and Program Qualifications
| # | Program Qualifications / Competencies | Level of Contribution | ||||
|---|---|---|---|---|---|---|
| 1 | 2 | 3 | 4 | 5 | ||
| 1 | Acquires skills to use the advanced theoretical and applied knowledge obtained at the mathematics bachelors program to do further academic and scientific research in both mathematics-based graduate programs and public or private sectors. | X | ||||
| 2 | Transplants and applies the theoretical and applicable knowledge gained in their field to the secondary education by using suitable tools and devices. | X | ||||
| 3 | Acquires the skill of choosing, using and improving problem solving techniques which are needed for modeling and solving current problems in mathematics or related fields by using the obtained knowledge and skills. | X | ||||
| 4 | Acquires analytical thinking and uses time effectively in the process of deduction. | X | ||||
| 5 | Acquires basic software knowledge necessary to work in the computer science related fields and together with the skills to use information technologies effectively. | X | ||||
| 6 | Obtains the ability to collect data, to analyze, interpret and use statistical methods necessary in decision making processes. | X | ||||
| 7 | Acquires the level of knowledge to be able to work in the mathematics and related fields and keeps professional knowledge and skills up-to-date with awareness in the importance of lifelong learning. | X | ||||
| 8 | Takes responsibility in mathematics related areas and has the ability to work affectively either individually or as a member of a team. | X | ||||
| 9 | Has proficiency in English language and has the ability to communicate with colleagues and to follow the innovations in mathematics and related fields. | X | ||||
| 10 | Has the ability to communicate ideas with peers supported by qualitative and quantitative data. | X | ||||
| 11 | Has professional and ethical consciousness and responsibility which takes into account the universal and social dimensions in the process of data collection, interpretation, implementation and declaration of results in mathematics and its applications. | X | ||||
ECTS/Workload Table
| Activities | Number | Duration (Hours) | Total Workload |
|---|---|---|---|
| Course Hours (Including Exam Week: 16 x Total Hours) | |||
| Laboratory | |||
| Application | |||
| Special Course Internship | |||
| Field Work | |||
| Study Hours Out of Class | 16 | 3 | 48 |
| Presentation/Seminar Prepration | |||
| Project | |||
| Report | |||
| Homework Assignments | 4 | 9 | 36 |
| Quizzes/Studio Critics | |||
| Prepration of Midterm Exams/Midterm Jury | 2 | 13 | 26 |
| Prepration of Final Exams/Final Jury | |||
| Total Workload | 110 | ||