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Archived teaching schedules 2016–2017
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TIETS31 Knowledge Discovery 5–10 ECTS
Periods
Period I Period II Period III Period IV
Language of instruction
English
Type or level of studies
Advanced studies
Course unit descriptions in the curriculum
Degree Programme in Computer Sciences
School of Information Sciences

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

General description

Recommended preceding studies:

  • TIETA6 Data Structures and
  • MTTTP1 Introduction to statistics

Or equivalent courses.

Enrolment for University Studies

Enrolment time has expired

Teachers

Kati Iltanen, Teacher responsible
Kati.Iltanen[├Ąt]uta.fi

Homepage URL

Teaching

31-Aug-2016 – 16-Dec-2016
Lectures 40 hours
Part I (5 ECTS)
Wed 31-Aug-2016 - 12-Oct-2016 weekly at 8-10, First meeting in Pinni B0016, others in Pinni B2077
Mon 5-Sep-2016 - 10-Oct-2016 weekly at 8-10, Pinni B2077
Part II (5 ECTS)
Mon 24-Oct-2016 - 5-Dec-2016 weekly at 8-10, Pinni B2077
Wed 26-Oct-2016 - 7-Dec-2016 weekly at 8-10, Pinni B2077
Exercises 20 hours
Part I
Fri 2-Sep-2016 - 14-Oct-2016 weekly at 8-10, PInni B2077
Part II
Fri 28-Oct-2016 - 9-Dec-2016 weekly at 8-10, Pinni B2077