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Advanced machine learning with neural networks

Master's level | 7.5 credits | Course code: FYM360
Spring 2021
50% Day
Period: 22 March 2021 - 6 June 2021
2 Opens 15 September GU-21167
2) Only EU/EEA citizens and students with approved residence permit in Sweden can apply

About the Course

This course introduces students to recent developments and state-of-the-art methods in machine learning using artificial neural networks. This advanced course builds on Machine learning with neural networks (FFR135) and provides an in-depth analysis of many of the concepts and algorithms that were briefly introduced in that course, with particular emphasis on applications in the natural and engineering sciences. The goal is to become familiar with several advanced machine-learning methods, and to code them efficiently in Python using current neural-network packages. An essential part of the course are projects in deep learning and reinforcement learning.

Course Syllabus


Requirements and Selection

Selection: Selection is based upon the number of credits from previous university studies, maximum 225 credits.

Tuition Fee

Application fee: 900 SEK
Full course cost: 14 875 SEK
First payment: 14 875 SEK

EU/EEA citizens, Swedish residence permit holders and exchange students do not pay fees. More information on:

Study Guidance

Johanna Giske
Contact form
031 - 786 9143
Origovägen 6 b


Department of Physics
41296 Göteborg

Visiting address: Origovägen 6 B

Page Manager: Jörgen Ölund
Last update: 2/18/2020 2:41 PM

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Page Manager: Jörgen Ölund|Last update: 10/16/2018

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