This course is designed to introduce undergraduate physics students to the fundamental concepts of machine learning, emphasizing both theoretical foundations and practical applications specific to physics. It covers a broad range of essential machine-learning techniques and models, and addresses the statistical challenges associated with optimizing these methods and evaluating the solutions they produce. Through this course, students will gain a deep understanding of how machine learning can be applied to solve real-world physics problems.
90 credits including quantum mechanics, electrodynamics, thermodynamics, solid state physics, introductory programming methodology and introductory numerical methods. Proficiency in English and Swedish equivalent to the level required for basic eligibility for higher studies. Requirements for Swedish only apply if the course is held in Swedish.
Academic credits
Applicants in some programs at Umeå University have guaranteed admission to this course. The number of places for a single course may therefore be limited.
Application code
UMU-53029
Application
Application deadline was
15 April 2025.
Please note: This second application round is intended only for EU/EEA/Swiss citizens.
Submit a
late application
at Universityadmissions.se.
As a citizen of a country outside the European Union (EU), the European Economic Area (EEA) or Switzerland, you are required to pay application and tuition fees for studies at Umeå University.
