Official course description, subject to change:
Preliminary info last published 27/11-20
Offered to guest students:
Offered to exchange students:
Offered as a single subject:
Price (single subject):
10625 DKK (incl. vat)
MSc in Games
31 January 2022
27 May 2022
AbstractThis course gives an introduction to the field of data mining with applications to game development.
After this course, you should be able to address complex data analyses, extracting information from large amount of data with a variety of data types.
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.
DescriptionThe course will cover the following main topics:
- The data mining process
- Data pre-processing
- Basic statistics
- Cluster analysis
- Classification and regression
- Deep learning
Formal prerequisitesStudents 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.
The programming language used in the course is Python, which is the industry standard for data mining and machine learning.
Intended learning outcomes
After the course, the student should be able to:
- Analyze data mining problems and reason about the most appropriate methods to apply to a given dataset and knowledge extraction need.
- Implement basic pre-processing, association mining, classification and clustering algorithms.
- Apply and reflect on advanced pre-processing, association mining, classification and clustering algorithms.
- Work efficiently in groups and evaluate the algorithms on real-world problems.
Ordinary examExam type:
D: Submission of written work with following oral, External (7-point scale)
D2G: Submission for groups with following oral exam supplemented by the submission. Shared responsibility for the report.