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Physics: Research in Physics, Classical/Quantum Information

Vak EC Semester 1 Semester 2

Physics programme (60 EC)

Mandatory courses (30EC)

Introduction to Machine Learning 6
Quantum Information 3
Statistical Physics a 6
Academic and Professional Skills (Science) 3
Computational Physics (6 EC) 6
Physics and Classical / Quantum Information 6

Choice of 2 courses from the list of core courses presented below

Introduction to Deep Learning 6
Statistical learning - old curriculum 6
Seminar Advances in Deep Learning 6
Applied Quantum Algorithms 6
Foundations of Statistics and Machine Learning 6
Reinforcement Learning 6

Electives ≥18EC (from either the list of core courses or the list of courses below, and max. 6EC from MSc programmes outside Physics)

Automated Machine Learning 6
Complex Networks (BM) 6
Econophysics 6
Quantum Theory 6
Statistical Physics b 3

Research Project in Physics with Data Science

All research projects are performed under the responsibility of a LION staff member. The main research project can be extended to 42 EC (research=36 EC, thesis=4 EC, presentation=2 EC) and combined with a smaller 18 EC project or internship, with the approval of the Study Advisor and the Board of Examiners.

Research project (36EC)

Research (30 EC) 30
Thesis (4 EC) 4
Presentation (2 EC) 2

Second small research project or internship (24 EC)

Research (20 EC) 20
Thesis (3 EC) 3
Presentation (1 EC) 1