Fundamentals of Computer Vision with Deep Learning

Education facts

Code: DT8055

The course is part of the programme MAISTR (hh.se/maistr) where participants can take the entire programme or individual courses. The course is for professionals and is held online in English. The courses qualify for credits and are free of charge for participants who are citizens of any EU or EEA country, or Switzerland, or are permanent residents in Sweden. More information can be found at antagning.se. Image acquisition, sampling (pixels) and representation (histogram, color spaces, Fourier Transform) Image transformations: local & global operators, convolution, filtering (smoothing, sharpening) Low-level Vision: edges, corners, lines and circles detection, scalar product <br> Feature extraction and classification: - Feature Extraction - Deep Learning and Transfer Learning - Image Pattern Classification <br> Computer Vision applications: - Facial analysis: detection and recognition - In-vehicle vision system: driver drowsiness - Robot vision systems: human emotion and intention detection

Entry requirements

Degree of Bachelor of Science in Computer Science and Engineering 180 credits. Programming 7.5 credits and Mathematics (Linear Algebra, Multi-variable Calculus) 7.5 credits. English 6 or English level 2. Exemption of the requirement in Swedish is granted for those with foreign grades.

Education offerings

Each offering has its own dates and conditions. Closed offerings are retained as history and do not mean that a new application is open.

• Fundamentals of Computer Vision with Deep Learning

  Halmstad University

  Start date: 30 March 2026

  End date: 7 June 2026

  Pace of study: 33 %