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

      Analysis of Complex Data A1F

      Course, Master's (2nd cycle), 7.5 credits, IT737A

      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: 31 august 2020 - 1 november 2020
      Location: Skövde, Campus
      Pace of study: 50%

      Admission Requirements

      Prerequisite courses for this course are: Passed courses: IT721A-Data Mining A1F (or the equivalent).

      Selection

      Guaranteed admission.

      Language

      The courses are conducted in English.

      The course focus on methods for analysis of data where the data is more complex than attribute-value data, often use within traditional data mining and machine learning. The course covers methods within areas such as text mining and graph analysis, and how these can be applied to different types of problem, e.g., sentiment- and network analysis. Methods within the area of data privacy can also be a part of the course. The course consist of lectures, seminars, a computer assignment, and a project where one has the opportunity to learn more about some specific problem related to analysis of complex data.

      Contact

      Examiner

      Course co-ordinator

      Published: 3/23/2020
      Edited: 3/23/2020
      Responsible: webmaster@his.se