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En lärare förklarar för två studenter. Foto.
This course introduces the most common concepts ML and AI. The course also deals with proper applicability of different algorithms to diverse types of data. Practical exercises are provided to give hands-on experience. Importance of the quality of the data is emphasized as one of the keys to successful data analysis.

FACTS


CYCLE

Second cycle

ENTRY REQUIREMENTS

Bachelor of Science in computer science, software engineering, information technology, computer engineering, electrical engineering, mechanical engineering, industrial engineering and management or equivalent. The degree must include a course in programming and 15 HE credits of mathematics. Verified knowledge of English corresponding to the course English 6 in the Swedish Upper Secondary School (high school) or equivalent.

PACE OF STUDY

Part-time

TYPE OF INSTRUCTION

On Campus

PROGRAMME/COURSE DATE


AUTUMN 2023

AUTUMN 2023

TEACHING HOURS

Daytime

APPLICATION DEADLINE

17 April 2023

APPLICATION CODE

HV-E1747

START/END

From v.35 2023 to v.44 2023

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