Applied Machine Learning, 7,5 credits
Start of studies
Spring semester 2027
Form of education
Campus, Day-time, Half-time
Language
English
Period
2027 week 3 until 2027 week 12
Admission to the course requires 5 completed credits in linear algebra, 5 completed credits in programming, and 5 completed credits in mathematical statistics. English 6.
The objective of this course is to introduce the practical application of machine learning (ML) techniques in solving engineering problems. It bridges the gap between theoretical understanding and real-world implementation by integrating hands-on exercises with case studies from industry. Students will learn to critically apply ML models to engineering datasets, evaluate model performance, and interpret the results in the context of engineering systems.
Admission to the course requires 5 completed credits in linear algebra, 5 completed credits in programming, and 5 completed credits in mathematical statistics. English 6.
Study subject
Product Development
Level
G1F
Course code
MT1588
