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Signals and Systems
Last Updated: 2026-06-03 00:07:35
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.
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)
- Digital
- The exam takes place on devices provided by ETH Zurich.
Course Components
| Type | Title | Time & Place | Hours |
|---|---|---|---|
| lecture | Signals and Systems | No time listed | 2 h weekly |
| exercise | Signals and Systems | No time listed | 2 h weekly |
Offered In
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Robotics, Systems and Control (Focus Coordinator: Prof. Robert Katzschmann)
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Computational Biology and Bioinformatics Master (More information at: )
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Advanced Courses (A total of 30 ECTS must be acquired in the advanced course category. Thereof, at least 16 ECTS in the theory and at least 10 ECTS in the biology subcategory.)
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Theory (At least 16 ECTS need to be acquired in this subcategory.)
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Electives (The list of electives is not exhaustive, also other courses can be chosen from the course catalogue: SiP-courses are only counted in the category "Science in Perspective". Practical sports courses are only counted in the sub-category Sports Practice (max. 6 ECTS).)
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