Modul CS5194 T

Duration:

Turnus of offer:

Course of studies, specific field and terms:

• Master Biophysics 2023 (module part), advanced curriculum, 1st or 2nd semester
• Master Computer Science 2019 (module part), Module part, Arbitrary semester
• Master MES 2020 (module part), computer science / electrical engineering, Arbitrary semester
• Master Entrepreneurship in Digital Technologies 2020 (module part), Module part, Arbitrary semester
• Master Biophysics 2019 (module part), advanced curriculum, 1st or 2nd semester
• Master IT-Security 2019 (module part), Module part, 1st or 2nd semester
• Master MES 2014 (module part), computer science / electrical engineering, 1st or 2nd semester
• Master Entrepreneurship in Digital Technologies 2014 (module part), Module part, Arbitrary semester
• Master Computer Science 2014 (module part), Module part, Arbitrary semester

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

Requires:

• Signal processing (CS3100-KP04)
• Image processing (CS3203)

Responsible for this module:

• Siehe Hauptmodul

Teachers:

• 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

Letzte Änderung: