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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

Uppgift saknasVerified data is not connected to this education offering.

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

Uppgift saknasVerified data is not connected to this education offering.

Study structure

Uppgift saknasVerified data is not connected to this education offering.

Application and important dates

  1. Programme or course starts
  2. Programme or course ends

Salary and salary distribution

Uppgift saknasVerified data is not connected to this education offering.

Common occupations after graduation

Uppgift saknasVerified data is not connected to this education offering.

Students

Uppgift saknasVerified data is not connected to this education offering.

Geographical background

Uppgift saknasVerified data is not connected to this education offering.

Previous upper-secondary schools and programmes

Uppgift saknasVerified data is not connected to this education offering.

Completion and outcomes

Uppgift saknasVerified data is not connected to this education offering.

About the provider

Halmstad University

Provider for the published education offering.

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.