TKO_3103 Data Analysis and Knowledge Discovery 5 op

Learning outcomes

This course enables to learn when and how to apply state of the art data analysis and knowledge discovery tools for data. Students will learn modern data analysis methods and algorithms to discover patterns and trends in large, complex and high-dimensional data sets, and turn data into information and knowledge.

Contents

The course introduces methods and algorithms for extracting information and knowledge from large datasets. This includes techniques for visualization, classification, regression, outlier detection, rule induction, model complexity selection, and model validation.

Teaching methods

Teaching method Contact Online
Lectures 28 h 0 h
Exercises

Modes of study

Option 1
Available for:
  • Degree Programme Students
  • Other Students
  • Doctoral Students
  • Exchange Students
Written exam
  • In English
Project / practical work
  • In English

Evaluation

Numeric 0-5.

Study materials

M.R. Berthold, C. Borgelt, F. Höppner, F. Klawonn: Guide to Intelligent Data Analysis: How to Intelligently Make Sense of Real Data. Springer, London (2010) 

Belongs to following study modules

Tulevaisuuden teknologioiden laitos
Tulevaisuuden teknologioiden laitos
Biokemian laitos
Tulevaisuuden teknologioiden laitos
Tulevaisuuden teknologioiden laitos
2016–2017
Teaching
Archived Teaching Schedule. Please refer to current Teaching Shedule.
Tulevaisuuden teknologioiden laitos
MDP in Bioinformatics
MDP in Embedded Computing
MDP in Digital Health and Life Sciences (Tech.)
Opintokokonaisuudet