| Course Unit Title | Course Unit Code | Type of Course Unit | Level of Course Unit | Year of Study | Semester | ECTS Credits |
|---|---|---|---|---|---|---|
| Time-frequency Analysis | MEH629 | Elective | Doctorate degree | 1 | Fall | 10 |
Name of Lecturer(s)
Prof. Dr. Ali TANGEL
Associate Prof. Dr. Sultan ALDIRMAZ ÇOLAK
Associate Prof. Dr. Sıtkı ÖZTÜRK
Learning Outcomes of the Course Unit
1) Learning analytical methods of time and frequency analysis
2) Obtaining insight about which represantation should be used for a given class of signals
3) Obtaining information about time-frequency analysis components
4) Obtaining information about commonly used algortihms for time-frequency analysis
Program Competencies-Learning Outcomes Relation
| Program Competencies | ||||||||
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | ||
| Learning Outcomes | ||||||||
| 1 | No relation | Low | No relation | No relation | No relation | Low | No relation | |
| 2 | Middle | Low | Low | No relation | No relation | Low | No relation | |
| 3 | Middle | No relation | Low | No relation | No relation | No relation | No relation | |
| 4 | Middle | Middle | No relation | No relation | No relation | No relation | No relation | |
Mode of Delivery
Face to Face
Prerequisites and Co-Requisites
None
Recommended Optional Programme Components
Digital Signal Processing
Course Contents
Fourier Transform, Short Time Fourier Transform, Wavelet Transform, Wigner Distribution, Ambiguity Function, Fractional Fourier Transform
Recommended or Required Reading
Planned Learning Activities and Teaching Methods
1) Lecture
2) Project Based Learning
Assessment Methods and Criteria
Language of Instruction
Turkish
Work Placement(s)
Not Required