Official course description, subject to change:
Basic info last published 1/10-20

Data Mining

Course info
Language:
English
ECTS points:
7.5
Course code:
KGDAMIN1KU
Participants max:
40
Offered to guest students:
yes
Offered to exchange students:
-
Offered as a single subject:
yes
Price (single subject):
10625 DKK (incl. vat)
Programme
Level:
MSc. Master
Programme:
MSc in Games
Staff
Course manager
Associate Professor
Teacher
Ph.d. student (industrial)
Course semester
Semester
Forår 2021
Start
25 January 2021
End
28 May 2021
Exam
Abstract
This course gives an introduction to the field of data science with applications to game development. The course is relatively practically oriented, focusing on applicable algorithms. Practical exercises will involve both use of a freely available data mining packages and individual implementation of algorithms.
Description
The course will cover the following main topics:
  • The data mining process
  • Cluster analysis
  • Data pre-processing
  •  Pattern and association mining
  • Classification and prediction
Application examples will be given from domains including demographics, image processing and games.
Formal prerequisites
Students must have experience with and be comfortable with programming, and be capable of independently implementing algorithms from descriptions. This corresponds to at least having passed an introductory programming course, and preferably also an intermediate-level programming course. The course will contain compulsory programming.
Intended learning outcomes

After the course, the student should be able to:

Ordinary exam
Exam type:
D: Submission of written work with following oral, External (7-point scale)
Exam variation:
D2G: Submission for groups with following oral exam supplemented by the submission. Shared responsibility for the report.