inf210 - Signal and Image Processing (Course overview) - Campusmanagementsystem Stud.IP

inf210 - Signal and Image Processing (Course overview)

Department of Computing Science

6 KP

Module components

Semester courses Wintersemester 2022/2023

Examination

Lecture

2.01.210 - Signal- und Bildverarbeitung / Signals and Dynamical Systems
- 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

2.01.210 - Signal- und Bildverarbeitung / Signals and Dynamical Systems
- 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