| Course Unit Title | Course Unit Code | Type of Course Unit | Level of Course Unit | Year of Study | Semester | ECTS Credits |
|---|---|---|---|---|---|---|
| Digital Filters | MEH565 | Elective | Master's degree | 1 | Spring | 8 |
Name of Lecturer(s)
Prof. Dr. Sarp ERTÜRK
Prof. Dr. Ali TANGEL
Associate Prof. Dr. Aysun TAŞYAPI ÇELEBİ
Learning Outcomes of the Course Unit
1) Knows Linear Filters.
2) Knows stochastics processes.
3) Knows Wiener filters.
4) Can setup linear prediction models.
5) Can use adaptive filters.
6) Knows Kalman filter.
Program Competencies-Learning Outcomes Relation
| Program Competencies | ||||||||
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | ||
| Learning Outcomes | ||||||||
| 1 | No relation | Middle | No relation | No relation | No relation | No relation | No relation | |
| 2 | Middle | Middle | No relation | No relation | No relation | No relation | No relation | |
| 3 | No relation | No relation | No relation | No relation | No relation | No relation | No relation | |
| 4 | Middle | Middle | No relation | No relation | No relation | No relation | No relation | |
| 5 | High | Middle | No relation | No relation | No relation | No relation | No relation | |
| 6 | High | 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
Signal processing courses.
Course Contents
Linear Filters, Stochastic Processes, Wiener Filters, Linear Prediction, Adaptive Filters, Kalman Filter
Recommended or Required Reading
Planned Learning Activities and Teaching Methods
Assessment Methods and Criteria
Language of Instruction
Turkish
Work Placement(s)
Not Required