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Arkistoitu opetussuunnitelma 2015–2017
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TIETS31 Knowledge Discovery 5–10 op
Organised by
Degree Programme in Computer Sciences
Person in charge
Yliopistonlehtori Kati Iltanen
Preceding studies
The courses mentioned or equivalent courses.
Corresponding course units in the curriculum
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Curricula 2012 – 2015
TIETS31 Knowledge Discovery 5–10 ECTS

Learning outcomes

After completing the course (5 ECTS) a student
- knows the phases of the process of knowledge discovery and understands its nature
- knows basic data prepocessing, data mining and postprocessing tasks and methods
- is able to apply these methods in practical knowledge discovery tasks

After completing the course (10 ECTS) a student
- in addition to the above-mentioned outcomes
- knows and is able to apply advanced methods used in the process of knowledge discovery
- knows data management issues concerning knowledge discovery


Steps in the process of knowledge discovery: data preprocessing, data mining, postprocessing and knowledge utilisation.
Preprocessing: data cleaning, integration, transformation and reduction.
Data mining tasks and methods: association analysis, classification and clustering.
Postprocessing: knowledge evaluation, interpretation and visualisation.
Examples of knowledge discovery systems and practical application areas.
Knowledge discovery and data management.
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
weekly exercises, course assignment and exam  Participation in course work 
In English


Numeric 1-5.

Belongs to following study modules

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Archived Teaching Schedule. Please refer to current Teaching Shedule.
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