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Data analysis, clustering and classification

  • Credits 7.5  credits
  • Education ordinance Second cycle
  • Study location Västerås
  • Course code MAA512

The goal of the course is to give knowledge of different methods for solving clustering and classification problems within data analysis. The course is intended to give both understanding of how the methods work as well as give training into how these methods can be used in different practical problems and applications. The course will present concrete examples of applications where clustering and classification appears and give examples of other aspects of data analysis, such as evaluation of results and common data transforms.

Occasions for this course

Autumn semester 2021

  • Autumn semester 2021

    Scope

    7.5 credits

    Time

    2021-08-30 - 2021-11-07 (part time 50%)

    Education ordinance

    Second cycle

    Course type

    Course

    Application code

    MDH-21115

    Language

    English

    Study location

    Västerås

    Course syllabus & literature

    See course plan and literature list (MAA512)

    Specific requirements

    Linear algebra, 7.5 credits or Applied matrix analysis, 7.5 credits or the equivalent and Probability Theory and Statistical Inference, 7.5 credits or the equivalent and Fundamentals of programming, 7.5 credits or the equivalent. In addition, Swedish B/Swedish 3 and English A/English 6 are required. In cases when the course is offered in English, the requirement for Swedish B/Swedish 3 is excluded.

    Selection

    University credits

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