Search results

    Search results

    Show all results for ""
    Can not find any results or suggestions for "."

    Search tips

    • Make sure there are no spelling errors
    • Try different search terms or synonyms
    • Narrow your search for more hits

    How can we help?

    Contact Us

    Find Employees

    University of Skövde, link to startpage
    University of Skövde, link to startpage
    Close

    Search results

      Search results

      Show all results for ""
      Can not find any results or suggestions for "."

      Search tips

      • Make sure there are no spelling errors
      • Try different search terms or synonyms
      • Narrow your search for more hits

      How can we help?

      Contact Us

      Find Employees

      University of Skövde, link to startpage

      Information Fusion A1F

      Course, Master's (2nd cycle), 7.5 credits, IT729A

      Application

      Choose a course instance to see course syllabus and admission requirements.

      Autumn 2020
      Location: Campus (Skövde), Pace: 50%

      Application

      Application is done after nomination.

      Course syllabus, with reading list

      When? Where? How?

      Study period: 2 november 2020 - 17 january 2021
      Location: Skövde, Campus
      Pace of study: 50%

      Admission Requirements

      Prerequisite courses for this course are: Passed courses: IT733A-Artificial Intelligence A1N (or the equivalent).

      Selection

      Guaranteed admission.

      Language

      The courses are conducted in English.

      This course is for you who want to gain knowledge within the research area information fusion and the different methods and techniques that are used to fuse information (data) from different sources with the purpose to support human decision making in different application areas. The information that has to be fused is often subject to different types of uncertainty (missing data, wrong or noisy data). Therefore, uncertainty handling is an important part of information fusion. Within this course different methods for uncertainty handling are discussed.

      If you study data science, computer science, information technology or informatics, you will get an overview of the area of information fusion, gain knowledge about several different methods used for information fusion. You also learn how information fusion can be used within decision support systems and how uncertainty can be handled. Furthermore, the course discusses the user’s role in the team of information fusion/decision support system and user.

      Contact

      Course co-ordinator

      Examiner

      Published: 2/1/2020
      Edited: 2/1/2020
      Responsible: webmaster@his.se