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Archived Curricula Guide 2011–2012
Curricula Guide is archieved. Please refer to current Curricula Guides
TKOPS130 Knowledge Discovery 6–8 ECTS
Organised by
Computer Science
Person in charge
Lecturer Kati Iltanen.
Preceding studies

Learning outcomes

The course aims at giving an overview of the process of knowledge discovery and methods used in it.


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 rules, classification and clustering. Post-processing: knowledge evaluation, interpretation and visualisation. Knowledge discovery and data management. Examples of methods of knowledge discovery and their practical applications. Possibly other selected topics in knowledge discovery.

Teaching methods

Teaching method Contact Online
Lectures 28 h 0 h
Exercises 14 h 0 h

Teaching language


Modes of study

Written examination, weekly exercises and project work.


Numeric 1-5.

Recommended year of study

Advanced studies, 3rd year, spring semester or later.

Study materials

To be announced in the lectures.

Belongs to following study modules

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