Project in Machine Learning4.5 ECTS credits
This is a continuation course in machine learning which aims to impart in-depth theoretical and practical knowledge of supervised, unsupervised, and augmented machine learning. The course provides students with opportunities to evaluate the suitability of various machine learning methods for given applications, and use common machine learning tools in practice.
Progressive specialisation: A1F (has second‐cycle course/s as entry requirements)
Education level: Master's level
Admission requirements: English 6 and 60 ECTS credits in Computer Science, including Introduction to Machine Learning (3 ECTS credits), or equivalent
Selection is usually based on your grade point average from upper secondary school or the number of credit points from previous university studies, or both.
This course is included in the following programme
- Master of Science in Industrial Engineering and Management (studied during year 4)