Gunnar Mathiason
Senior Lecturer in Computer Science
School of Informatics
Data Mining A1N
Course, Master's (2nd cycle),
7.5 credits,
IT734A
Application
Choose a course instance to see course syllabus and admission requirements.
Autumn 2023, Location: Skövde, Pace of study: 50%
Application
Application is done after nomination.
Course syllabus, with reading list
When? Where? How?
Study period: 30 October 2023 - 14 January 2024
Location: Skövde, Campus, Daytime
Pace of study: 50%
Admission Requirements
A Bachelor's degree equivalent to a Swedish kandidatexamen of 180 credits (or the equivalent).
A further requirement is proof of skills in English equivalent of studies at upper secondary level in Sweden, known as the Swedish course English course 6. This is normally demonstrated by means of an internationally recognized test, e g IELTS, TOEFL or the equivalent
Selection
Guaranteed admission.
Language
The courses are conducted in English.
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.