Digital Signal Processing (5 ECTS)
Code: TX00CQ62-3011
General information
- Enrollment
- 05.05.2025 - 30.07.2025
-
Enrollment is ongoing
Enroll to the implementation in OMA
- Timing
- 04.08.2025 - 15.08.2025
- The implementation has not yet started.
- Number of ECTS credits allocated
- 5 ECTS
- Mode of delivery
- On-campus
- Unit
- School of ICT and Industrial Management
- Campus
- Leiritie 1
- Teaching languages
- English
- Seats
- 0 - 50
- Teachers
- Manfred Jungke
- Course
- TX00CQ62
Implementation has 10 reservations. Total duration of reservations is 40 h 0 min.
| Time | Topic | Location |
|---|---|---|
|
Mon 04.08.2025 time 09:00 - 13:00 (4 h 0 min) |
Digital Signal Processing TX00CQ62-3011 |
MMC304
Oppimistila
|
|
Tue 05.08.2025 time 09:00 - 13:00 (4 h 0 min) |
Digital Signal Processing TX00CQ62-3011 |
MMC304
Oppimistila
|
|
Wed 06.08.2025 time 09:00 - 13:00 (4 h 0 min) |
Digital Signal Processing TX00CQ62-3011 |
MMC304
Oppimistila
|
|
Thu 07.08.2025 time 09:00 - 13:00 (4 h 0 min) |
Digital Signal Processing TX00CQ62-3011 |
MMC304
Oppimistila
|
|
Fri 08.08.2025 time 09:00 - 13:00 (4 h 0 min) |
Digital Signal Processing TX00CQ62-3011 |
MMC304
Oppimistila
|
|
Mon 11.08.2025 time 09:00 - 13:00 (4 h 0 min) |
Digital Signal Processing TX00CQ62-3011 |
MMC308
Oppimistila
|
|
Tue 12.08.2025 time 09:00 - 13:00 (4 h 0 min) |
Digital Signal Processing TX00CQ62-3011 |
MMC308
Oppimistila
|
|
Wed 13.08.2025 time 09:00 - 13:00 (4 h 0 min) |
Digital Signal Processing TX00CQ62-3011 |
MMC308
Oppimistila
|
|
Thu 14.08.2025 time 09:00 - 13:00 (4 h 0 min) |
Digital Signal Processing TX00CQ62-3011 |
MMC308
Oppimistila
|
|
Fri 15.08.2025 time 09:00 - 13:00 (4 h 0 min) |
Digital Signal Processing TX00CQ62-3011 |
MMC308
Oppimistila
|
Learning outcomes
Knowledge and understanding:
- The students will know the basic properties of digital signal processing systems. They are able to analyze signal processing systems and to understand the background of filter design software.
Skills:
- The student is able to use basic signal processing tools for analyzing and modifying existing digital signal processing systems.
Content
Core content level:
Basics of Digital Signal Processing: discrete signals and their properties, properties of sampled linear systems, difference equation, convolution, correlation, analysis of linear discrete-time systems: impulse and step responses, transfer function, frequency response,
Discrete Fourier Transform (DFT), z-Transform, pole-zero- diagram. basic audio signal processing
Additional content:
Training material including solved problems are provided.
Prerequisites
Basic mathematics and complex numbers
Evaluation scale
0-5
Assessment criteria, satisfactory (1)
Student understands the fundamentals of digital signal processing
Assessment criteria, good (3)
Student can apply digital signal processing methods on solving simple problems.
Assessment criteria, excellent (5)
Student can apply digital signal processing methods as a part of system development.
Assessment criteria, approved/failed
Student understands the fundamentals of digital signal processing