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Signals and Systems
Last Updated: 2026-02-05 15:36:11
Abstract
Signals arise in most engineering applications. They contain information about the behavior of physical systems. Systems respond to signals and produce other signals. In this course, we explore how signals can be represented and manipulated, and their effects on systems. We further explore how we can discover basic system properties by exciting a system with various types of signals.
Objective
Master the basics of signals and systems. Apply this knowledge to problems in the homework assignments and programming exercise.
Content
Discrete-time signals and systems. Fourier- and z-Transforms. Frequency domain characterization of signals and systems. System identification. Time series analysis. Filter design.
Resources
Lecture Notes
Lecture notes available on course website.
Learning Materials (Links)
- Main link
- Course website
General Information
- Language
- English
- Levels
- BSC , MSC
- Frequency
- Yearly recurring
Examination
- Type
- session examination
- Mode
- written 150 minutes
- Aids
- A single A4 sheet of paper (double sided; hand-written or computer typed)
Course Components
| Type | Title | Time & Place | Hours |
|---|---|---|---|
| lecture |
Signals and Systems
The course will start in the 2nd week of the Semester.
The lecturers will communicate the exact lesson times of ONLINE courses.
|
|
2 h weekly |
| exercise |
Signals and Systems
The course will start in the 2nd week of the Semester.
The lecturers will communicate the exact lesson times of ONLINE courses.
|
|
2 h weekly |
Offered In
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Mechatronics (Focus Coordinator: Prof. Bradley Nelson To achieve the 20 credits for Focus Specialization Mechatronics, 151-0640-00L Studies on Mechatronics is compulsory.)
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Computational Biology and Bioinformatics Master (More informations at: )
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Advanced Courses (A total of 30 ECTS needs to be acquired in the Advanced Courses category. Thereof 18 ECTS in the Theory and 12 ECTS in the Biology category. Note that some of the lectures are being recorded: )
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Theory (At least 18 ECTS need to be acquired in this category.)
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