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Karlstad University
Foundations of AI and Optimisation Methods
The course comprises two parts. The first part, which constitutes approximately 60% of the course, treats basic concepts and paradigms of artificial intelligence and machine learning, for instance hypothesis space, generalisation error, and limitations. This first part of the course also includes practical component…
- Higher education
- Information unavailable
- 31 August 2026
- Karlstad
- Information unavailable
- 50 %
Overview
The course comprises two parts. The first part, which constitutes approximately 60% of the course, treats basic concepts and paradigms of artificial intelligence and machine learning, for instance hypothesis space, generalisation error, and limitations. This first part of the course also includes practical components, such as design of algorithms for linear and logistic regression and support vector machines, and practical aspects of machine learning, for instance normalisation and cross-validation. The second part of the course treats optimisation with and without constraints. Among other things, this includes showing how stochastic gradient descent can be used for optimisation without constraints.
Admission scores
Entry requirements
Calculus and geometry (7.5 ECTS credits), Calculus in several variables (7.5 ECTS credits), Data structures and algorithms (7.5 ECTS credits), and upper secondary level English 6, or equivalent
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
- 2026-08-31
- Measure
- Entry-requirement text reproduced from the published Susa data; no personal eligibility assessment is made.
- Population
- Education offering e.uoh.kau.dvae23.55018.20262
- Last checked
- 2026-09-23T10:37:50.445791+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
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- Programme or course starts
- Programme or course ends
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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.kau.dvae23.55018.20262
- Offering identity in the source
- e.uoh.kau.dvae23.55018.20262
- Education-form source code
- HS
- Education code in the source
- DVAE23
- Change time according to the source
- 2026-03-03T14:09:59
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.