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Advanced simulation and machine learning

Course
FYM345
Master’s level
7,5 credits (ECTS)

About

The course covers a selection of machine learning algorithms and statistical methods for simulating physical systems. The course is based on a set of projects, which are accompanied by lectures, and hands-on computer exercises. During the course, the students will be exposed to advanced scientific research problems, with the aim to reproduce state-of-the-art scientific results.

The students will use e.g. the Python programming language and relevant open-source libraries, and will learn to develop and structure computer codes for carrying out scientific and statistical data analyses.

Prerequisites and selection

Requirements