Electrical Engineering MA, Applied Machine Learning, 7.5 hp

AI and machine Learning are gaining ground in industry and government, and knowledge of how to apply machine learning is becoming increasingly important. The purpose of the course is to provide an introduction to several subfields within machine learning and to orientate about basic methods and algorithms available in these fields. To convey breadth and depth in machine learning and its application in measurement technology.


  • Start: Spring semester 2024
  • Study period: Week 12 - 22
  • Study form: Campus
  • Study pace: 50%
  • Campus: Sundsvall
  • Language: English
  • Code: MIU-D2X70
Syllabus Litterature

Spring semester 2025

room Campus, Sundsvall
  • Start: Spring semester 2025
  • Study period: Week 13 - 23
  • Study form: Campus
  • Study pace: 50%
  • Campus: Sundsvall
  • Language: English
  • Code: MIU-D2X20

The structure of the teaching

The course takes place on campus

Entry requirements

Degree of Bachelor of Science, Degree of Bachelor of Science Engineering (at least 180 credits), or equivalent, with at least 60 credits in Electrical Engineering or Computer Science.

Contact

Questions about the programme

Questions about the programme

+46(0)10-1428000

The page was updated 12/20/2023