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Instructors: Danu Caus; Prof. Dr. Simone Frintrop; Dr. Mikko Lauri; Noha Abdelsalam Abdelkader Sarhan
Event type:
Practical course/lab
Displayed in timetable as:
CV 1 - Üb
Hours per week:
2
Language of instruction:
English
Min. | Max. participants:
- | 60
More information:
This course accompanies the lecture "Computer Vision".
Comments/contents:
Exercises for the lecture "Computer Vision 1", details below.
Learning objectives:
Deeper understanding of the basic algorithms of computer vision which are introduced in the lecture and practical experience of how to apply such methods. Exercises will be done using the Python programming language.
Didactic concept:
The assignments consist of theoretical tasks (solve tasks manually on paper) and practical programming exercises in Python. Pre-knowledge of Python is not mandatory, but is helpful.
Since the Corona regulations recommend online courses, we will use Moodle (upload of material) and Zoom (online presentations and discussions) for the exercise class. Participating via Zoom with camera switched on is therefore helpful to fully profit from this class. If someone does not have a camera, we can provide a few.
Literature:
See lecture entry.
Additional examination information:
Examination of the module takes place in form of a written exam.
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