Introduction To Digital Signal Processing
Mechatronics Engineering
Faculty of Engineering
First Cycle (Bachelor's Degree)
| Course Unit Title | Course Unit Code | Type of Course Unit | Level of Course Unit | Year of Study | Semester | ECTS Credits |
|---|---|---|---|---|---|---|
| Introduction To Digital Signal Processing | MUH411 | Elective | Bachelor's degree | 4 | Fall | 4 |
Name of Lecturer(s)
Assistant Prof. Dr. Kaplan KAPLAN
Assistant Prof. Dr. Suat KARAKAYA
Learning Outcomes of the Course Unit
1) Demonstrate the advantages of digital signal processing over analog signal processing.
2) Identify the basic discrete-time signals and use them in representing different signals.
3) Classify discrete-time systems.
4) Obtain zero state and zero input response of a discrete-time system from its difference equation.
5) Perform a frequency-domain analysis of discrete-time signals and systems.
6) Analyze discrete-time systems using the Z-transform.
7) Identify FIR and IIR filters and design digital filters at an introductory level.
Program Competencies-Learning Outcomes Relation
| Program Competencies | ||||||||||||
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | ||
| Learning Outcomes | ||||||||||||
| 1 | High | High | High | High | High | High | High | Middle | Middle | High | Middle | |
| 2 | Middle | Middle | Middle | Middle | Middle | High | High | Middle | Middle | High | High | |
| 3 | Middle | Middle | Middle | Middle | Middle | High | Middle | No relation | High | High | High | |
| 4 | Middle | Middle | Middle | No relation | High | No relation | No relation | No relation | Middle | High | High | |
| 5 | Middle | No relation | No relation | No relation | Middle | No relation | No relation | No relation | Middle | High | High | |
| 6 | Middle | No relation | No relation | No relation | Middle | No relation | No relation | No relation | Middle | Middle | Middle | |
| 7 | Middle | Middle | Middle | Middle | Middle | Middle | Middle | Middle | Middle | Middle | Low | |
Mode of Delivery
Face to Face
Prerequisites and Co-Requisites
None
Recommended Optional Programme Components
Signals and Systems
Course Contents
This course covers; introduction to digital signal processing, discrete-time signals, discrete-time systems, difference equations, frequency analysis of signals and systems, frequency response, discrete-time Fourier transform, discrete Fourier transform, fast Fourier transform, sampling, Z-transform analysis of signals and systems, digital filter design: FIR and IIR filters.
Weekly Schedule
1) Introduction to digital signal processing, discrete time signals2) Introduction to discrete time signals and systems.
3) Linear time invariant systems
4) Systems defined by difference equations
5) Frequency domain analysis of signals and systems
6) Frequency respponse, discrete time Fourier transform.
7) Discrete time Fourier transform
8) Midterm examination/Assessment
9) Discrete Fourier transform
10) Discrete Fourier transform
11) Fast Fourier transform
12) Z-transform analysis of signals and systems
13) Applications of the Z-transform
14) FIR dilter design.
15) IIR filter design
16) Final examination
Recommended or Required Reading
1- Discrete-Time Signal Processing Alan V. Oppenheim
Planned Learning Activities and Teaching Methods
1) Lecture
2) Question-Answer
Assessment Methods and Criteria
Contribution of Midterm Examination to Course Grade |
50% |
|---|---|
Contribution of Final Examination to Course Grade |
50% |
Total |
100% |
Language of Instruction
English
Work Placement(s)
Not Required