Module CS5194 T
Module part: Practical Project in Signal and Image Processing (PrSigBildv)
Duration
1 Semester
Turnus of offer
every second semester
Credit points
4 (Typ B)
Course of studies, specific fields and terms:
- Master Biophysics 2023, module part, advanced curriculum
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- Master MES 2020, module part, computer science / electrical engineering
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- Master Biophysics 2019, module part, advanced curriculum
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- Master MES 2014, module part, computer science / electrical engineering
- Master Entrepreneurship in Digital Technologies 2014, module part, Module part
- Master Computer Science 2014, module part, Module part
Classes and lectures:
- iRoom (practical course, 3 SWS)
Workload:
- 40 hours private studies
- 60 hours group work
- 20 hours written report
Contents of teaching:
- Planning and realization of typical signal processing applications in a team
Qualification-goals/Competencies:
- Students will have comprehensive knowledge of using signal and image processing algorithms in practice.
- They are able to realize signal processing systems in teamwork and in a self-directed manner.
- They have the communication competency to document and present project results.
Grading through:
- exam type depends on main module
Responsible for this module:
- Siehe Hauptmodul
Teacher:
- Institute for Signal Processing
- Prof. Dr.-Ing. Markus Kallinger
- MitarbeiterInnen des Instituts
Language:
- offered only in German
Notes:
(Part of Module CS4510)Prerequisites for attending the module:
- None
Prerequisites for the exam:
- The project must be completed in order to take the exam in the module CS4510
Modul Exam:
- CS4510-L1: Signal Analysis, oral exam consisting out of Pattern Recognition, Selected Topics of Signal Analysis and Enhancement and this project, 100% of module grade
Last Updated:
08.03.2024