inf960 - Fundamental Competencies in Computing Science I: Signals and Dynamical Systems (Complete module description)
Module label | Fundamental Competencies in Computing Science I: Signals and Dynamical Systems |
Module code | inf960 |
Credit points | 6.0 KP |
Workload | 180 h |
Institute directory | Department of Computing Science |
Applicability of the module |
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Responsible persons |
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Prerequisites | Module math040 Analysis II b: Differential equation of several variables |
Skills to be acquired in this module | This course provides an introduction into digital signal processing. It covers the mathematical foundations necessary for understanding the impact digitization has on a continuous signal as well as the goal-directed synthesis of digital filters. As such, it lays the theoretical foundations preparing for understanding and designing applications of digital signal processing in a variety of fields relevant to the MSc EngSTS, like neurophysiological measurements, brain-computing interfaces, or embedded control. In contrast to subsequent modules of the study programme, the module itself does not aim at covering such applications, but at providing a solid grasp of the underlying principles and the fundamental constraints to digital signal processing. It is targeted at psychologists, but also at computer scientists who have not previously been exposed to a systematic mathematical treatment of the fundamentals of digital signal processing.
Methodological competences
Social competences
Self-competences
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Module contents |
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Recommended reading | recommended:
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Links | |
Language of instruction | English |
Duration (semesters) | 1 Semester |
Module frequency | annual |
Module capacity | unlimited |
Reference text | This course is part of the base curriculum of the MSc program "Engineering of Socio-Technical Systems". It provides students featuring a background in psychology with fundamental competences in computer science and related subjects. This course is also intended for students with a background in computer science lacking prior knowledge in digital signal processing |
Teaching/Learning method | V+Ü |
Type of course | Comment | SWS | Frequency | Workload of compulsory attendance |
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Lecture | 2 | WiSe | 28 | |
Exercises | 2 | WiSe | 28 | |
Total module attendance time | 56 h |
Examination | Prüfungszeiten | Type of examination |
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Final exam of module | At the end of the lecture period |
Hands-on exercises and written or oral exam |