Applied Machine Learning, 6 credits
Start of studies
Spring semester 2030
Form of education
Campus, Day-time, 2/5
Language
English
Period
2030 week 4 until 2030 week 13
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
Course code
MT1575
