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Archived Curricula Guide 2012–2015
Curricula Guide is archieved. Please refer to current Curricula Guides
TIETS31 Knowledge Discovery 5–10 ECTS
Organised by
Degree Programme in Computer Sciences
Planned organizing times
Period(s) I II III IV
2012–2013 X X
2013–2014 X X
2014–2015 X X
Preceding studies
Corresponding course units in the curriculum
School of Information Sciences
Curricula 2011 – 2012
TKOPS130 Knowledge Discovery 6–8 ECTS

Learning outcomes

After completing the course a student
• knows the phases of the process of knowledge discovery and understands its nature
• knows different types of data mining tasks and methods and understands their requirements and limitations
• is able to choose and apply appropriate preprocessing and data mining methods to a given data set and problem and evaluate mined results
• is able to act in practical knowledge discovery processes.


Steps in the process of knowledge discovery: data preprocessing, data mining, post-processing and knowledge utilisation. Preprocessing: data cleaning, integration, transformation and reduction. Data mining methods: association analysis, classification and clustering. Post-processing: knowledge evaluation, interpretation and visualisation. Knowledge discovery and data management. Examples of knowledge discovery systems and practical application areas. Possibly other selected topics in knowledge discovery.

Teaching methods

Teaching method Contact Online
Lectures 40 h 0 h
Exercises 20 h 0 h

Teaching language


Modes of study

Option 1
Available for:
  • Degree Programme Students
  • Other Students
  • Open University Students
  • Doctoral Students
  • Exchange Students
Participation in course work 
In Finnish
In English
In Finnish
In English
Written exam 
In Finnish
In English

The course can be taken in English by doing weekly exercises, written examination, and course assignment. Teaching in lectures and on weekly exercise sessions will be in Finnish only, so this course requires a lot of self-directed learning.


Numeric 1-5.

Belongs to following study modules

Archived Teaching Schedule. Please refer to current Teaching Shedule.
School of Information Sciences