inf210 - Signal and Image Processing (Course overview)

inf210 - Signal and Image Processing (Course overview)

Department of Computing Science 6 KP
Module components Semester courses Examination
Lecture
  • No access 2.01.210 - Show lecturers
    • Sandra Hellmers
    • Jan Hendrik Röhl
    • Dr. rer. nat. Anna Schumacher

    Tuesday: 14:15 - 15:45, weekly (from 18/10/22), VL, Location: A14 1-113
    Wednesday: 14:15 - 15:45, weekly (from 19/10/22), Ü, Location: A14 1-113
    Dates on Wednesday, 15.02.2023 14:15 - 15:45, Monday, 15.05.2023 14:00 - 16:00, Location: A01 0-008, V03 0-C002

Exercises
  • No access 2.01.210 - Show lecturers
    • Sandra Hellmers
    • Jan Hendrik Röhl
    • Dr. rer. nat. Anna Schumacher

    Tuesday: 14:15 - 15:45, weekly (from 18/10/22), VL, Location: A14 1-113
    Wednesday: 14:15 - 15:45, weekly (from 19/10/22), Ü, Location: A14 1-113
    Dates on Wednesday, 15.02.2023 14:15 - 15:45, Monday, 15.05.2023 14:00 - 16:00, Location: A01 0-008, V03 0-C002

Hinweise zum Modul
Prerequisites
Module math040 Analysis II b: Differential calculus of several variables
Prüfungszeiten
At the end of the semester
Module examination
Hands-on exercises and written or oral exam
Skills to be acquired in this module
Professional competence
The students:
  • name the concepts of signal and image processing in technical systems
  • name the methods/algorithms of preprocessing, filtering, classification, interpretation and visualisation of signals and pictures
  • Select algorithms appropriately
  • evaluate the effectiveness of algorithms
  • design algorithms and processing chains and evaluate their quality
Methodological competence
The students:
  • get used to specific subjects of signal and image processing
Social competence
The students:
  • present solutions for specific questions in signal and image processing
Self-competence
The students:
  • reflect their solutions by using methods learned in this course