Computer Vision, 6 credits
Start of studies
Autumn semester 2027
Form of education
Campus, Day-time, 2/5
Language
English
Period
2027 week 44 until 2028 week 2
Admission to the course requires 6 completed credits in Machine Learning. English 6.
The course aims to provide students with advanced knowledge and practical skills in computer vision, especially learning-based (deep learning) methods. Students learn how visual information is formed, represented and processed, and how to design, implement and evaluate computer vision pipelines in real-world applications relevant to machine learning, sensors and systems.
Admission to the course requires 6 completed credits in Machine Learning. English 6.
Study subject
Electrical Engineering
Level
A1N
Course code
ET2635
