Where academic tradition
meets the exciting future

Data Analysis and Knowledge Discovery (2017 Autumn)

Organisation: UTU / Dept. of Future Technologies

Credit Points: 5

Responsible Person: Jukka Heikkonen

Course code: TKO_3103

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.

Content:
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.

31.10.–21.12.2017

Lectures:

  1. Tue 31.10.–19.12. weekly at 14–16, XXI, Agora
  2. Thu 2.11.–21.12. weekly at 16–18, XXI, Agora