Computer Engineering MA, Computer Graphics, 6 hp

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 based on R or Python, 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 such as big data visualization, business intelligence analysis, decision support systems, text/web/sensor/geo data mining, context aware applications, intelligent agents or cognitive radio.


Autumn semester 2024

room Campus, Sundsvall
  • Start: Autumn semester 2024
  • Study period: Week 45 - 3
  • Study form: Campus
  • Study pace: 50%
  • Campus: Sundsvall
  • Language: English
  • Code: MIU-D2X05

Entry requirements

Computer Engineering BA (A-C), 90 credits, including 15 credits in programming in C++/Python/Matlab. Mathematics BA (A), 30 credits, including Linear Algebra, 6 credits. Computer Engineering MA, Signal and Image Processing, 6 credits.

Contact

Questions about the programme

Questions about the programme

+46(0)10-1428000

The page was updated 12/20/2023