Start of studies
Spring semester 2028
Form of education
Campus, Day-time, 2/5
Language
English
Period
2028 week 3 until 2028 week 12
Admission to the course reguires completed courses in Linear Algebra, 5 credits, Programming, 5 credits, and Mathematical Statistics, 5 credits. 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 industry-relevant case studies. 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 reguires completed courses in Linear Algebra, 5 credits, Programming, 5 credits, and Mathematical Statistics, 5 credits. English 6.
Level
G1F
Registration code
B9YLV
Course code
MT1575
