This offering is not in the current catalogue. The information is retained from an earlier publication. Check the provider's current offering.
Halmstad University
Learning Systems
The course aims at providing an overview of the field machine learning; learning and self-organizing systems for classification and prediction. <br> Upon completion of the course, the student shall be able to - judge when the methods introduced in the course is applicable - read and comprehend scientific material…
- Higher education
- Information unavailable
- 18 January 2027
- Halmstad
- Information unavailable
- 50 %
Overview
The course aims at providing an overview of the field machine learning; learning and self-organizing systems for classification and prediction. <br> Upon completion of the course, the student shall be able to - judge when the methods introduced in the course is applicable - read and comprehend scientific material in the area - apply the methods on real world problems - assimilate and present scientific results in the learning systems area
Admission scores
Entry requirements
Bachelor of Science degree (or equivalent) in an engineering subject or in computer science. Courses in computer science, computer engineering or electrical engineering of at least 90 credits, including thesis. Courses in mathematics of at least 30 credits or courses including calculus, linear algebra and transform methods. The course Engineering mathematics 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
- 2027-01-18
- Measure
- Entry-requirement text reproduced from the published Susa data; no personal eligibility assessment is made.
- Population
- Education offering e.uoh.hh.dt8008.v3431.20271
- 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.dt8008.v3431.20271
- Offering identity in the source
- e.uoh.hh.dt8008.v3431.20271
- Education-form source code
- HS
- Education code in the source
- DT8008
- Change time according to the source
- 2026-09-07T15:29:36
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.