Stochastic optimization algorithms
University of Gothenburg
GÖTEBORG
Start date:
End date:
Pace of study: 50 %
Published education catalogue
Stochastic optimization algorithms
Education information from the published source. The education record and its time-bound offerings are kept separate.
Education facts
Code: FMM106
The course provides basic knowledge of biological methods in computer science, such as genetic algorithms, genetic programming and artificial life. These methods are relevant both for technical applications, for example in the optimisation and design of autonomous systems, and for understanding biological systems, for example through the simulation of evolutionary processes.
Entry requirements
Bachelor degree including at least 30 credeits mathematics, plus programming
Education offerings
Each offering has its own dates and conditions. Closed offerings are retained as history and do not mean that a new application is open.
Source and updates
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Publication version: 8e217193-f5fa-4778-b085-a4521fd03e8d
Checksum: 1b0dc54c0fc8a359f83ba9dc8f9d468479ce432de4c03bce3b8b33dd67fe3f6c
Last changed according to the source: 2026-04-02T13:10:59