TIETS39 Machine Learning Algorithms 5 ECTS
Organised by
Degree Programme in Computer Sciences
Person in charge
Professor Martti Juhola
Preceding studies
Compulsory:
Also basic mathematics required.
Corresponding course units in the curriculum
School of Information Sciences
Curricula 2015 – 2017

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

English

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

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
2017–2018
Teaching
Archived Teaching Schedule. Please refer to current Teaching Shedule.
Faculty of Natural Sciences