Curricula Guides
2018–2019
Archived Curricula Guide 2017–2019
Curricula Guide is archieved. Please refer to current Curricula Guides
BIO4721
Introduction to Pattern Recognition and Machine Learning
5
ECTS
Organised by
Master's Degree Programme in Bioinformatics
Person in charge
Juha Kesseli
Corresponding course units in the curriculum
BioMediTech
Curricula 2015 – 2017
Curricula 2015 – 2017
BIO4721
Introduction to Pattern Recognition and Machine Learning
5
ECTS
General description
This course can be completed by several options from UTA or TUT course offering based on availability (e.g. SGN-13006 from TUT). Please see both TUT and UTA websites for more information or ask for guidance from the course responsible.
Learning outcomes
After completing the course, the student can:
- describe the basic structure of pattern recognition systems and the statistical bases of the classification theory.
- distinguish supervised learning methods from the unsupervised ones.
- apply supervised learning methods to the classifier design.
Contents
The basic structure of pattern recognition systems. Supervised and unsupervised learning. Some most important machine learning algorithms are presented and examples are described for their applications.
Modes of study
Option
1
Available for:
- Degree Programme Students
- Other Students
- Open University Students
- Doctoral Students
- Exchange Students
Participation in course work
In
English
Evaluation
Numeric 1-5.Belongs to following study modules
Faculty of Medicine and Life Sciences
2018–2019
Archived Teaching Schedule. Please refer to current Teaching Shedule.
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Faculty of Medicine and Life Sciences