TKO_2096 Applications of Data Analysis 5 ECTS
Organised by
Computer Science
Preceding studies
Compulsory:

Learning outcomes

After learning about fundamental data analysis techniques from the course Data analysis and knowledge discovery (TKO_3103), this course provides the student tools for applying these techniques to solving real-world problems occurring in different application domains.

Contents

Modern data analysis techniques provide invaluable tools for a wide range of application areas, including but not limited to areas such as image recognition, biological data analysis, geoinformatics, signal recognition, process control in manufacturing etc. This course provides both an overview of, as well as practical solutions for effective application of data analysis techniques for a number of such areas. Central questions include how to model different application problems as data analysis tasks, how to generate feature representations or similarity measures for data with different characteristics, and how to evaluate the quality of the developed models.

Modes of study

Option 1
Available for:
  • Degree Programme Students
  • Other Students
  • Doctoral Students
  • Exchange Students
Participation in classroom work
  • In English
Exercise(s)
  • In English

Lectures, exercises / project.

Evaluation

Pass/fail.

Study materials

Belongs to following study modules

Department of Nursing Science
Health Technology (Nursing Science)
Department of Future Technologies
Department of Future Technologies
Department of Future Technologies
Department of Biochemistry
Department of Biochemistry
2016–2017
Teaching
Archived Teaching Schedule. Please refer to current Teaching Shedule.
Department of Future Technologies
DP in Computer Science
DP in Computer Science
DP Bachelor of Science in Techn.(Communication St)
DP in Information and Communication Technology
MDP in Digital Health and Life Sciences (Tech.)
Finnish Study Modules