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Archived teaching schedules 2016–2017
You are browsing archived teaching schedule. Current teaching schedules can be found here.
BIO4722 Machine Learning 5 ECTS
Periods
Period I Period II Period III Period IV
Language of instruction
English
Type or level of studies
Advanced studies
Course unit descriptions in the curriculum
Master's Degree Programme in Bioinformatics
BioMediTech

Learning outcomes

After the course, the student can:
- describe and apply the different methods in machine learning field.
- analyse the lectured neural networks.
- analyse the own problem and to select the most suitable method.

General description

The course can be completed by one of the following courses:

SGN-42006:  http://www.tut.fi/wwwoppaat/opas2015-2016/perus/laitokset/Signaalinkasittely/SGN-42006.html

TIETS07: https://www10.uta.fi/opas/opintojakso.htm?rid=11458&idx=0&uiLang=en&lang=en&lvv=2015

For more information on this course, see the TUT and UTA course descriptions above from 2015 (the new descriptions for 2016 will be updated as soon as possible).

Teachers

Further information

This course can be completed by several options based on availability. Please see both TUT and UTA websites for information on this course.

BioMediTech
The Course is part of the following teaching schedules
BioMediTech
Master´s degree programme in biotechnology
BioMediTech
Master´s Degree Programme in Bioinformatics
Centre for Applied Statistics and Data Analytics, CAST
CAST (Centre for Applied Statistics and Data Analytics)