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Learning Systems

  • Credits 7.5  credits
  • Education ordinance Second cycle
  • Study location Västerås
  • Course code DVA427
  • Main area Computer Science

An important trend today is systems and functionality that can learn, improve and adapt to changing environments. In this course you will study important techniques that enable computer programs to improve automatically through experience. The course covers decision trees, artificial neural nets, evolutionary computation, fuzzy systems, probabilistic learning, and reinforcement learning. The course is well connected to Robotics, Computer Science, and Intelligent Embedded Systems programs.

Occasions for this course

Autumn semester 2021

  • Autumn semester 2021

    Scope

    7.5 credits

    Time

    2021-11-08 - 2022-01-16 (part time 50%)

    Education ordinance

    Second cycle

    Course type

    Course

    Application code

    MDH-24007

    Language

    English

    Study location

    Västerås

    Course syllabus & literature

    See course plan and literature list (DVA427)

    Specific requirements

    90 credits including Programming 7.5 credits and Data Structures, Algorithms and Program Development 7.5 credits, or equivalent. In addition Swedish course B/Swedish course 3 and English course A/English course 6 are required. For courses given entirely in English exemption is made from the requirement in Swedish course B/Swedish course 3.

    Selection

    University credits

Questions about the course?

If you have any questions about the course, please contact the Course Coordinator.

Professor

Ning Xiong

+4621151716

ning.xiong@mdh.se

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