Computer Vision
- Faculty
Faculty of Engineering and Computer Science
- Version
Version 1 of 03.12.2025.
- Module identifier
11B1121
- Module level
Bachelor
- Language of instruction
German, English
- ECTS credit points and grading
5.0
- Module frequency
irregular
- Duration
1 semester
- Overall workload
The total workload for the module is 150 hours (see also "ECTS credit points and grading").
- Teaching and learning methods
Lecturer based learning Workload hours Type of teaching Media implementation Concretization 45 Lecture - 15 Practice - Lecturer independent learning Workload hours Type of teaching Media implementation Concretization 15 Preparation/follow-up for course work - 15 Study of literature - 10 Work in small groups - 50 Creation of examinations -
- Graded examination
- Project Report, written or
- Project Report, oral
- Ungraded exam
- Field work / Experimental work
- Remark on the assessment methods
Project report (oral): presentation: 30 minutes
Project report (written): 10 pages; associated presentation: 15 minutes
- Exam duration and scope
Project report (oral): presentation: 30 minutes
Project report (written): 10 pages; associated presentation: 15 minutes
experimental work: 6 worksheets
- Literature
- Dawson-Howe, Kenneth. A practical introduction to computer vision with opencv. John Wiley & Sons, 2014.
- Kaehler, Adrian, and Gary Bradski. Learning OpenCV 3: computer vision in C++ with the OpenCV library. " O'Reilly Media, Inc.", 2016.
- Dadhich, Abhinav. Practical Computer Vision: Extract Insightful Information from Images Using TensorFlow, Keras, and OpenCV. Packt Publishing Ltd, 2018.
- Géron, Aurélien. Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems. O'Reilly Media, 2019.
- Applicability in study programs
- Electrical Engineering in Practical Networks (dual)
- Electrical Engineering in Practical Networks (dual) B.Sc. (01.03.2026)
- Mechatronics
- Mechatronics B.Sc. (01.09.2025)
- Computer Science and Media Applications
- Computer Science and Media Applications B.Sc. (01.09.2025)
- Agricultural Technologies
- Agricultural Technologies B.Sc. (01.09.2025)
- Computer Science and Computer Engineering
- Computer Science and Computer Engineering B.Sc. (01.09.2025)
- Electrical Engineering
- Electrical Engineering B.Sc. (01.09.2025)
- Person responsible for the module
- Sch?ning, Julius
- Teachers
- Sch?ning, Julius
- Weinhardt, Markus