Digital Signal Processing (5 cr)
Code: TX00CQ62-3009
General information
- Enrollment
-
02.05.2023 - 03.08.2023
Registration for the implementation has ended.
- Timing
-
07.08.2023 - 18.08.2023
Implementation has ended.
- Number of ECTS credits allocated
- 5 cr
- Mode of delivery
- On-campus
- Unit
- (2019-2024) School of ICT
- Campus
- Leiritie 1
- Teaching languages
- English
- Seats
- 0 - 50
- Degree programmes
- Degree Programme in Information Technology
- Teachers
- Manfred Jungke
- Course
- TX00CQ62
Implementation has 11 reservations. Total duration of reservations is 43 h 0 min.
| Time | Topic | Location |
|---|---|---|
|
Mon 07.08.2023 time 09:00 - 13:00 (4 h 0 min) |
Digital Signal Processing TX00CQ62-3009 |
MMA226
Oppimistila
|
|
Tue 08.08.2023 time 09:00 - 13:00 (4 h 0 min) |
Digital Signal Processing TX00CQ62-3009 |
MMA226
Oppimistila
|
|
Wed 09.08.2023 time 09:00 - 13:00 (4 h 0 min) |
Digital Signal Processing TX00CQ62-3009 |
MMA226
Oppimistila
|
|
Thu 10.08.2023 time 09:00 - 13:00 (4 h 0 min) |
Digital Signal Processing TX00CQ62-3009 |
MMA226
Oppimistila
|
|
Fri 11.08.2023 time 09:00 - 13:00 (4 h 0 min) |
Digital Signal Processing TX00CQ62-3009 |
MMA226
Oppimistila
|
|
Mon 14.08.2023 time 09:00 - 13:00 (4 h 0 min) |
Digital Signal Processing TX00CQ62-3009 |
MMA226
Oppimistila
|
|
Tue 15.08.2023 time 09:00 - 13:00 (4 h 0 min) |
Digital Signal Processing TX00CQ62-3009 |
MMA226
Oppimistila
|
|
Wed 16.08.2023 time 09:00 - 13:00 (4 h 0 min) |
Digital Signal Processing TX00CQ62-3009 |
MMA226
Oppimistila
|
|
Thu 17.08.2023 time 09:00 - 13:00 (4 h 0 min) |
Digital Signal Processing TX00CQ62-3009 |
MMA226
Oppimistila
|
|
Fri 18.08.2023 time 09:00 - 13:00 (4 h 0 min) |
Digital Signal Processing TX00CQ62-3009 |
MMA226
Oppimistila
|
|
Tue 29.08.2023 time 13:00 - 16:00 (3 h 0 min) |
Exam, Digital Signal Processing TX00CQ62-3009 |
MMA216
Oppimistila
|
Objective
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.
Exam schedules
Exam of 90 minutes duration held about two weeks after the end of the course.
International connections
Course teacher is Prof. Dr. Manfred Jungke from Frankfurt University of Applied Sciences, Germany.
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
Assessment methods and criteria
Exam of 90 minutes duration held about two weeks after the end of the course.
Qualifications
Basic mathematics and complex numbers, C programming language