Curricula Guides
2018–2019
Archived Curricula Guide 2017–2019
Curricula Guide is archieved. Please refer to current Curricula Guides
TIETS39
Machine Learning Algorithms
5
ECTS
Organised by
Degree Programme in Computer Sciences
Person in charge
Professor Martti Juhola
Preceding studies
Compulsory:
TIETA6
Data Structures
Corresponding course units in the curriculum
Learning outcomes
After the course the student is able to understand and use some basic and advanced machine learning methods for data mining, pattern recognition and other problems to that learning-based solutions are applied.
Contents
Some most important machine learning algorithms are presented and examples are described for their applications.
Teaching methods
| Teaching method | Contact | Online |
| Lectures | 24 h | 0 h |
| Exercises | 10 h | 0 h |
Teaching language
EnglishModes of study
Option
1
Available for:
- Degree Programme Students
- Other Students
- Open University Students
- Doctoral Students
- Exchange Students
Participation in course work
In
English
Written examination and active participation in exercises and lectures.
Evaluation
Numeric 1-5.Belongs to following study modules
Faculty of Natural Sciences
Faculty of Natural Sciences
Faculty of Natural Sciences
Faculty of Natural Sciences
Faculty of Natural Sciences
2018–2019
Archived Teaching Schedule. Please refer to current Teaching Shedule.
Faculty of Natural Sciences