Syllabus:

Machine Learning in Physics, 7.5 Credits

Swedish name: Maskininlärning i fysik

This syllabus is valid: 2025-09-01 and until further notice

Course code: 5FY227

Credit points: 7.5

Education level: Second cycle

Main Field of Study and progress level: Physics: Second cycle, has only first-cycle course/s as entry requirements

Grading scale: Pass with distinction, Pass with merit, Pass, Pass with distinction, Pass, Fail

Responsible department: Department of Physics

Established by: Faculty Board of Science and Technology, 2025-02-20

Required Knowledge

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.

Literature

Valid from: 2025 week 36

Murphy Kevin P.
Probabilistic machine learning : an introduction
Cambridge, Massachusetts : The MIT Press : [2022] : xxix, 826 pages :
ISBN: 9780262046824
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Géron Aurélien
Hands-on machine learning with Scikit-Learn, Keras, and TensorFlow : concepts, tools, and techniques to build intelligent systems
Third edition : Sebastopol : O'Reilly Media : 2022 : 834 sidor :
ISBN: 9781098125974
Search the University Library catalogue