Analysis of Complex Data A1F, 7,5 ECTS, IT724A

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.

Course start
Mode of teaching
autumn -17 w.35
Campus
  • Course coordinator: Jonas Mellin
  • Examiner: Jonas Mellin
  • Application code: HS-87006
  • Prerequisites: Prerequisite courses for this course are: Passed courses: IT721A-Data Mining A1F (or the equivalent).
  • Course plan with course literature: Course plan in English, Course plan in Swedish
  • Start semester: autumn -17
  • Pace of study: 50%
  • Start week - end week: w.35 - w.43
  • When: Day
  • Language: The teaching is conducted in English.
  • Place: Skövde
  • Course code: IT724A
  • Note:
  • Implementing:
  • Course type Programme course
  • Mode of teaching Campus
autumn -17 w.35
Campus
  • Course coordinator: Jonas Mellin
  • Examiner: Jonas Mellin
  • Application code: HS-E7006
  • Prerequisites: Prerequisite courses for this course are: Passed courses: IT721A-Data Mining A1F (or the equivalent).
  • Course plan with course literature: Course plan in English, Course plan in Swedish
  • Start semester: autumn -17
  • Pace of study: 50%
  • Start week - end week: w.35 - w.43
  • When: Day
  • Language: The teaching is conducted in English.
  • Place: Skövde
  • Course code: IT724A
  • Note:
  • Implementing:
  • Course type
  • Mode of teaching Campus
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Please note
Our courses in English are only available for exchange students who are from one of our partner universities or students who study through our Master's programmes.