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Uppsala University
Natural Computation Methods for Machine Learning
After the course you should be able to: * set up and solve typical natural computation problems * by implementation or with simulation tools, determine the applicability of different learning methods to different types of learning problems, i.e. know the strengths and weaknesses of the method * set a good rep…
- Higher education
- Information unavailable
- 18 January 2027
- Uppsala
- Information unavailable
- 33 %
Overview
After the course you should be able to: * set up and solve typical natural computation problems * by implementation or with simulation tools, determine the applicability of different learning methods to different types of learning problems, i.e. know the strengths and weaknesses of the method * set a good representation of the data * recognise the typical effects of bad choices and determine how to improve the results * describe how and why machine learning and natural computation methods (such as deep learning and genetic algorithms) work.
Admission scores
Entry requirements
120 credits including 15 credits in mathematics and 60 credits in computer science/information systems, including 20 credits in programming/algorithms/data structures. Proficiency in English equivalent to the Swedish upper secondary course English 6.
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.uu.1dl073.61011.20271
- Last checked
- 2026-09-23T10:39:41.205927+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
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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.uu.1dl073.61011.20271
- Offering identity in the source
- e.uoh.uu.1dl073.61011.20271
- Education-form source code
- HS
- Education code in the source
- 1DL073
- Change time according to the source
- 2026-09-10T10:14:53
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.