IoT and Machine Learning Systems, 3.5 hp
The course provides a broad introduction to the concept of the Internet of Things (IoT) and the Industrial Internet of Things (IIoT), including the technologies that enable measurement, communication, and data storage. Furthermore, the course addresses the characteristics of IoT systems, their limitations, and the challenges associated with their implementation. It also includes an overview of how machine learning can be applied to analyze data generated by IoT systems.
FACTS
CYCLE
Second cycle
ENTRY REQUIREMENTS
Degree of Bachelor of Science in computer engineering, electrical engineering, mechanical engineering, or industrial engineering and management. Additionally, the Bachelor of Science degree must be comprised of a minimum of 5 HE credits in programming and 15 HE credits in mathematics. Verified knowledge of English corresponding to the course English 6 or English level 2 in the Swedish Upper Secondary School (high school) or equivalent.
PACE OF STUDY
Part-time
TYPE OF INSTRUCTION
On Campus
PROGRAMME/COURSE DATE
TEACHING HOURS
Daytime
APPLICATION DEADLINE
15 April 2026
APPLICATION CODE
HV-EE007
START/END
From v.46 2026 to v.02 2027
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