Physics: Research in Physics, Classical/Quantum Information
| Vak | EC | Semester 1 | Semester 2 |
|---|---|---|---|
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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 | ||
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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 | ||
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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 | ||
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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 . |
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