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Course unit, curriculum year 2019–2020
TIETS31

Knowledge Discovery, 5–10 cr

Tampere University
Teaching periods
Active in period 1 (1.8.2019–20.10.2019)
Active in period 2 (21.10.2019–31.12.2019)
Course code
TIETS31
Language of instruction
English
Academic year
2019–2020
Level of study
Advanced studies
Grading scale
General scale, 0-5
Persons responsible
Responsible teacher:
Kati Iltanen
Responsible organisation
Faculty of Information Technology and Communication Sciences 100 %

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.

Learning outcomes
Prerequisites
Recommended prerequisites
Further information
Studies that include this course
Completion option 1
Lectures and weekly excercises, course assignment and exam

Participation in teaching

26.08.2019 31.12.2019
Active in period 1 (1.8.2019–20.10.2019)
Active in period 2 (21.10.2019–31.12.2019)