| Instructor | Emre Telatar |
| Office | INR 117 |
| [email protected] | |
| Office Hours | By appointment |
| Teaching Assistant | Serhat Emre Coban |
| Office | INR 018 |
| [email protected] | |
| Office Hours | By appointment |
| Teaching Assistant | Bora Dogan |
| Office | INR 034 |
| [email protected] | |
| Office Hours | By appointment |
| Teaching Assistant | Adway Girish |
| Office | INR 038 |
| [email protected] | |
| Office Hours | By appointment |
| Student Assistant | Bassam El Rawas |
| [email protected] | |
| Language: | English | |
| Credits : | 6 ECTS |
Course Information
See the course information.
Announcements
- The midterm exam will be held on Friday, April 19th at 13h15.
- The first lecture will be held on Wednesday, February 21st, in ME B3 31 at 13h15.
Detailed Schedule
| Date | Topics covered | Textbook sections | Problem sets | Solutions |
|---|---|---|---|---|
| Feb 21 | – Introduction to the course – Binary hypothesis testing, MAP rule |
1, 2.1, 2.2.1 | HW 1 |
|
| Feb 23 | – Gaussian noise – Binary hypothesis testing with Gaussian noise (scalar and vector) |
2.3, 2.4.1, 2.4.2 | ||
| Feb 28 | – m-ary hypothesis testing – m-ary hypothesis testing with white Gaussian noise |
2.4.3 | HW 2 |
|
| Mar 01 | – (revision) – Q function properties |
2.3 | ||
| Mar 06 | – Sufficient statistics | 2.5 | HW 3 |
|
| Mar 08 | – Examples of sufficient statistics, Fisher-Neyman factorization theorem | 2.5 | ||
| Mar 13 | – Union and Bhattacharya bounds | 2.6 | HW 4 |
|
| Mar 15 | – Continuous-time AWGN channel | 3.1, 3.2 | ||
| Mar 20 | – White Gaussian noise, receiver design | 3.3, 3.4 | HW 5 |
|
| Mar 22 | – Reducing continuous-time AWGN to discrete Gaussian channel | 3.5 | ||
| Mar 27 | – Isometries, equivalences of system designs | 4.1 — 4.3 | HW 6 |
|
| Apr 10 | – |
|