| MATHEMATICS (TURKISH, PHD) | |||||
| PhD | TR-NQF-HE: Level 8 | QF-EHEA: Third Cycle | EQF-LLL: Level 8 | ||
| Course Code | Course Name | Semester | Theoretical | Practical | Credit | ECTS |
| EEE6629 | Network Information Theory | Fall | 3 | 0 | 3 | 12 |
| The course opens with the approval of the Department at the beginning of each semester |
| Language of instruction: | En |
| Type of course: | Departmental Elective |
| Course Level: | |
| Mode of Delivery: | Face to face |
| Course Coordinator : | Assoc. Prof. SAEID KARAMZADEH |
| Course Objectives: | The aim of this course is to obtain an advanced level of understanding on information theory and coding, in particular, source and channel coding with multiple users, broadcast channel, multiple access channel, compound channel, coding for correlated data. |
|
The students who have succeeded in this course; 1. Describe basic information theory 2. Understand the effects of multi-user on information theory and coding 3. Differentiate multi-user problems, their advantages and disadvantages 4. Gain knowledge on broadcast channel, multiple access channel 5. Understand relay and compound channels 6. Describe coding for correlated data |
| This course starts with a review of basic information theory and coding theory. It defines multi-user information theoretic quantities. Then multi-user source and channel coding concepts are covered. Various multiple user channels are introduced and analyzed. Finally, it analyzes the effect of correlation on source and channel coding problems. |
| Week | Subject | Related Preparation | |
| 1) | Review of Information Theory | ||
| 2) | Review of Coding Theory | ||
| 3) | Multi-user information theoretic quantities | ||
| 4) | Source coding for multi-users | ||
| 5) | Source coding with side information | ||
| 6) | Channel coding for multi-users | ||
| 7) | Broadcast Channel, Multi-access channel | ||
| 8) | Joint source and Channel Coding. Midterm | ||
| 9) | Compound Channel | ||
| 10) | Relay Channel | ||
| 11) | Coding for Correlated Data | ||
| 12) | Information theory for large Networks | ||
| 13) | Network Coding | ||
| 14) | Wireless Network Coding | ||
| Course Notes: | Abbas El-gamal, Network Information Theory, Cambridge University Press, 2012 |
| References: |
| Semester Requirements | Number of Activities | Level of Contribution |
| Attendance | % 0 | |
| Laboratory | % 0 | |
| Application | % 0 | |
| Field Work | % 0 | |
| Special Course Internship (Work Placement) | % 0 | |
| Quizzes | % 0 | |
| Homework Assignments | % 0 | |
| Presentation | % 0 | |
| Project | 1 | % 30 |
| Seminar | % 0 | |
| Midterms | 1 | % 30 |
| Preliminary Jury | % 0 | |
| Final | 1 | % 40 |
| Paper Submission | % 0 | |
| Jury | % 0 | |
| Bütünleme | % 0 | |
| Total | % 100 | |
| PERCENTAGE OF SEMESTER WORK | % 30 | |
| PERCENTAGE OF FINAL WORK | % 70 | |
| Total | % 100 | |
| Activities | Number of Activities | Duration (Hours) | Workload |
| Course Hours | 14 | 3 | 42 |
| Laboratory | 0 | 0 | 0 |
| Application | 0 | 0 | 0 |
| Special Course Internship (Work Placement) | 0 | 0 | 0 |
| Field Work | 0 | 0 | 0 |
| Study Hours Out of Class | 0 | 0 | 0 |
| Presentations / Seminar | 0 | 0 | 0 |
| Project | 1 | 50 | 50 |
| Homework Assignments | 0 | 0 | 0 |
| Quizzes | 0 | 0 | 0 |
| Preliminary Jury | 0 | ||
| Midterms | 1 | 60 | 60 |
| Paper Submission | 0 | ||
| Jury | 0 | ||
| Final | 1 | 48 | 48 |
| Total Workload | 200 | ||
| No Effect | 1 Lowest | 2 Low | 3 Average | 4 High | 5 Highest |
| Program Outcomes | Level of Contribution |