This offering is not in the current catalogue. The information is retained from an earlier publication. Check the provider's current offering.
Halmstad University
Fundamentals of Computer Vision with Deep Learning
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 Switze…
- Higher education
- Information unavailable
- 29 March 2027
- Ortsoberoende
- Information unavailable
- 33 %
Overview
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
Admission scores
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.
The text is reproduced from the Susa source. Antagningsdata does not map GY11 and GY25 or assess personal eligibility.
Source, measure and data quality
- Source
- Skolverket Susa-navet
- Period
- 2027-03-29
- Measure
- Entry-requirement text reproduced from the published Susa data; no personal eligibility assessment is made.
- Population
- Education offering e.uoh.hh.dt8055.23555.20271
- Last checked
- 2026-09-23T10:37:30.869721+00:00
- Limitation
- Antagningsdata does not map GY11 and GY25. General and specific conditions are not separated without structured source data.
Programme content
Study structure
Application and important dates
- Programme or course starts
- Programme or course ends
Salary and salary distribution
Common occupations after graduation
Students
Geographical background
Previous upper-secondary schools and programmes
Completion and outcomes
About the provider
Sources and data quality
Education facts for the selected offering come from Skolverket Susa-navet.
Retrieved . Published . Times are shown in Swedish local time.
Source identity and publication version
- Publication version
- 8e217193-f5fa-4778-b085-a4521fd03e8d
- Education identity in the source
- i.uoh.hh.dt8055.23555.20271
- Offering identity in the source
- e.uoh.hh.dt8055.23555.20271
- Education-form source code
- HS
- Education code in the source
- DT8055
- Change time according to the source
- 2026-08-28T12:40:27
The provider, education and education offering are separate identities. Application information should be checked on the official website. Supplementary statistics have not been obtained from this source.