Natural Computation Methods for Machine Learning, 10 credits
Academic year 2022/2023
Spring 2023, 33%, Campus
Start date: 16 January 2023
End date: 4 June 2023
Application deadline: 17 October 2022
Application code: UU-61011 Application
Language of instruction: English
Selection: Higher education credits in science and engineering (maximum 240 credits)
Registration: 15 December 2022 – 23 January 2023
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.
If you are not a citizen of a European Union (EU) or European Economic Area (EEA) country, or Switzerland, you are required to pay application or tuition fees. Formal exchange students will be exempted from tuition fees, as well as the application fee. Read more about fees.
Application fee: SEK 900
Tuition fee, first semester: SEK 24,167
Tuition fee, total: SEK 24,167
About the course
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 methods strengths and weaknesses, set a good representation of the data, recognise the typical effects of bad choices and determine how to improve the results and describe how and why machine learning and natural computation methods (such as deep learning and genetic algorithms) work.
Department of Information Technology
hus 10, Lägerhyddsvägen 1
Box 337, 751 05 UPPSALA