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Published education catalogue

Electrical Engineering MA, Machine Learning on Embedded Systems

Education information from the published source. The education record and its time-bound offerings are kept separate.

Education facts

Code: ET038A

Denna kurs ger dig en förståelse för de möjligheter och begränsningar som maskininlärning har på resursbegränsade inbyggda system, till exempel smarta sensorer och Internet of Things-enheter.

Entry requirements

Degree of Bachelor/Bachelor of Science in Engineering of at least 180 credits, including an introductory course in machine learning.

Education offerings

Each offering has its own dates and conditions. Closed offerings are retained as history and do not mean that a new application is open.

Source and updates

Skolverket Susa-navet

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Publication version: 8e217193-f5fa-4778-b085-a4521fd03e8d

Checksum: 1b0dc54c0fc8a359f83ba9dc8f9d468479ce432de4c03bce3b8b33dd67fe3f6c

Last changed according to the source: 2026-03-18T07:34:52