Computer Engineering MA, Data mining, 6 Credits

The student should develop a basic understanding of current machine learning techniques for mining large quantities of data. The student should develop skills in finding interesting patterns and building prediction models by explorative data analysis using data analysis tools such as R, Weka or Orange, and preparing input, interpreting output and critically evaluating results. The student should show an ability to apply the skills in a small project in an real-world business or engineering application area e.g. big data visualization, BI analysis, decision support systems, text/web/sensor/geo data mining, context aware applications, intelligent agents or cognitive radio.

Spring 2023

room Standard course of studies, Sundsvall
  • Start: Spring 2023
  • Study period: Week 3 - 11
  • Study form: Standard course of studies
  • Study pace: 50%
  • Campus: Sundsvall
  • Language: English
  • Code: MIU-F2X80

Spring 2024

room Standard course of studies, Sundsvall
  • Start: Spring 2024
  • Study period: Week 3 - 11
  • Study form: Standard course of studies
  • Study pace: 50%
  • Campus: Sundsvall
  • Language: English
  • Code: MIU-F2X10
Syllabus

Entry requirements

120 credits completed courses including the following:

Computer Engineering BA (AB) including Databases, modeling and implementation, 6 credits and a course on computer programmering, 6 credits.
Mathematics BA (A), 30 credits, including Mathematical Statistics, 6 credits.

Contact

Questions about the course

Questions about the course

+46(0)10-1428000

The page was updated 12/8/2022