Advanced Topics in Image Analysis

Course description

Content
The purpose of this course is to present the student to selected advanced topics in image analysis. The course will bring the student up to a level sufficient for a Master's thesis work within Image Analysis and Computer Vision. The focus is not on specific topics, but rather on new research trends.

Prerequisites
Programming experience and qualifications corresponding to the courses Machine Learning and Signal and Image Processing or similar and a strong mathematical background.

Practical information

The course is offered as a single-subject course at the Faculty of Science. Single-subject courses typically run for seven to nine weeks with scheduled activities approx. one day per week.

You will be attending the course together with full-time students from the Faculty of Science, and you must meet various admission requirements. The course ends with an exam.

The number of places is limited, and they are allocated on a first-come, first-served basis, so do not delay your application!