Electrical Engineering MA, Applied Machine Learning, 7.5 Credits
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 2025, period 2
- Study period: Week 13 - 23
- Language of instruction: English
- Code: MIU-D2X20
- Study form: Campus
- Study pace: 50%
- Campus: Sundsvall
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
Study at Mid Sweden University
Mid Sweden University is a two-campus university with campuses in the city centres of Östersund and Sundsvall, two beautiful cities located in...
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