Data Mining 7.5 hp

Spring 2024
Part-time 50%, Mixed times

Spring 2025
Part-time 50%, Mixed times
No obligatory attendance

The course gives a general introduction to data mining by covering: data mining methodology, preprocessing of data and data quality aspects, data mining techniques, result analysis and evaluation methodology and practical work with modern data mining tools. Law and ethical aspects of data collection is also discussed.

For application questions, contact the Admissions Office.
For other questions, contact, Student Reception.