## Physics: Research in Physics, Classical/Quantum Information

Course | EC | Semester 1 | Semester 2 |
---|---|---|---|

Physics programme (60 EC) |
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Mandatory courses (30EC) |
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Academic and Professional Skills (Science) | 3 | ||

Computational Physics (6 EC) | 6 | ||

Quantum Information | 3 | ||

Statistical Physics a | 6 | ||

Introduction to Machine Learning | 6 | ||

Physics and Classical / Quantum Information | 6 | ||

Choice of 2 courses from the list of core courses |
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Advances in Deep Learning | 6 | ||

Applied Quantum Algorithms | 6 | ||

Introduction to Deep Learning | 6 | ||

Foundations of Statistics and Machine Learning | 6 | ||

Reinforcement Learning | 6 | ||

Statistical learning | 6 | ||

Electives ≥12EC (from either the list of core courses or the list of courses below, and max. 6EC from MSc programmes outside Physics) |
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Automated Machine Learning | 6 | ||

Complex Networks (BM) | 6 | ||

Econophysics | 6 | ||

Quantum Theory | 6 | ||

Statistical Physics b | 3 | ||

Research Project in Physics with Data Science Research project (36EC) Second small research project or internship
(24 EC) 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 . |