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Signals and Systems
Last Updated: 2026-02-05 15:48:37
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 lecture will start in the 2nd week of the Semester.
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|
2 h weekly |
| exercise |
Signals and Systems
The exercise will start in the 3rd week of the Semester.
|
|
2 h weekly |
Offered In
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Mechatronics and Robotics (Focus Coordinator: Prof. Marco Hutter)
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Computational Biology and Bioinformatics Master (More information at: )
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Advanced Courses (A total of 30 ECTS needs to be acquired in the Advanced Courses category. Thereof at least 16 ECTS in the Theory and at least 10 ECTS in the Biology category. Note that some of the lectures are being recorded: )
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Theory (At least 16 ECTS need to be acquired in this category.)
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