Data Mining A1F, 7,5 ECTS, IT721A

Vast amounts of data are accumulated in many organizations. Extracting useful information from the data is a challenging task, not only due to the large amounts, but also due to dimensionality, heterogeneity and complexity of data.

Data mining is an integral part of knowledge discovery and is a powerful tool for discovering relationships and patterns in data. This course will give you theoretical knowledge about data mining, as well as practical experience in applying data mining algorithms.

Course start
Mode of teaching
spring -17 w.03
Campus
  • Course coordinator: Alan Said
  • Examiner: Maria Riveiro
  • Application code: HS-97007
  • Prerequisites: Prerequisite courses for this course are: Passed courses: IT714A-Advanced Artificial Intelligence A1N.
  • Course plan with course literature: Course plan in English, Course plan in Swedish
  • Start semester: spring -17
  • Pace of study: 50%
  • Start week - end week: w.03 - w.12
  • When: Day
  • Language: The teaching is conducted in English.
  • Place: Skövde
  • Course code: IT721A
  • Note: The teaching is conducted in English.
  • Implementing:
  • Course type Programme course
  • Mode of teaching Campus
spring -17 w.03
Campus
  • Course coordinator: Alan Said
  • Examiner: Maria Riveiro
  • Application code: HS-E7007
  • Prerequisites: Prerequisite courses for this course are: Passed courses: IT714A-Advanced Artificial Intelligence A1N.
  • Course plan with course literature: Course plan in English, Course plan in Swedish
  • Start semester: spring -17
  • Pace of study: 50%
  • Start week - end week: w.03 - w.12
  • When: Day
  • Language: The teaching is conducted in English.
  • Place: Skövde
  • Course code: IT721A
  • 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.