Advanced machine learning with neural networks

Education facts

Code: FYM360

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.

Entry requirements

A Bachelor's degree in physics, mathematics, computer science, or similar including 30 credits of mathematics.Applicants must prove their knowledge of English: English 6/English B from Swedish Upper Secondary School or the equivalent level of an internationally recognized test, for example TOEFL, IELTS.

Education offerings

Each offering has its own dates and conditions. Closed offerings are retained as history and do not mean that a new application is open.

• Advanced machine learning with neural networks

  University of Gothenburg

  Start date: 23 March 2026

  End date: 7 June 2026

  Pace of study: 50 %