Teaching
summer 2024 
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Lecture:
Computational Many-Body Physics
Mon, Fri | E0.03
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Practical Course M:
Computational Physics
CIP-lab, by appointment
winter 2023/2024
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Lecture:
Statistical Physics
online & Fri, 10.00 - 11.30 | HS III
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Practical Course M:
Computational Physics
CIP-lab, by appointment
online courses
Computational Physics
An undergraduate course providing an overview of numerical algorithms to solve physics problems, with application to classical mechanics, E & M, quantum mechanics, and statistical physics. The course includes an in-depth introduction to programming in JULIA.
[course website, vimeo channel]
Statistical Physics
An undergraduate course introducing a statistical description of nature, using concepts such as entropy, thermal equilibrium, and statistical potentials. Basics of thermodynamics, phase transitions, and non-equilibrium physics.
[course website, vimeo channel]
Computational Many-Body Physics
A graduate level course that provides an overview of modern numerical approaches to many-body systems, both classical and quantum. The in-depth introduction of elementary algorithms includes Monte Carlo methods, machine learning techniques, and entanglement based approaches.
[course website, vimeo channel]
traditional lectures
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Computational Physics: 2023,
2020,
2019,
2016*,
2014,
2013
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Solid State Theory: 2022,
2019,
2018,
2016
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Computational Many-Body Physics: 2024,
2021,
2018,
2015,
2012
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Statistical Physics: 2023,
2020,
2017
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Advanced Quantum Mechanics: 2015,
2014
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Classical Field Theory: 2013,
2012*
chronological
2024: Quantum Computational Physics (new course, fall 2024)
2024: Computational Many-Body Physics
2023: Statistical Physics
2023: Computational Physics
2022: Solid State Theory
2021: Vorkurs
2021: Computational Many-Body Physics
2020: Statistical Physics
2020: Computational Physics
2019: Solid State Theory
2019: Computational Physics
2018: Solid State Theory
2018: Computational Many-Body Physics
2017: Statistical Physics
2016: Solid State Theory
2016: Computational Physics
2015: Advanced Quantum Mechanics
2015: Computational Many-Body Physics
2014: Advanced Quantum Mechanics
2014: Computational Physics
2013: Classical Field Theory
2013: Computational Physics
2012: Classical Field Theory
2012: Computational Many-Body Physics
seminars
2023: Quantum Computing: Entanglement, Measurements, and Simulations
2021: Machine Learning Quantum Matter
2020: Dirac Matter and Twisted Bilayer Graphene
2018: Majorana fermions
2016: Disentangling quantum matter via quantum information theory
2015: Dirty physics: disorder effects in quantum matter
2014: Quantum knots: Monopoles, skyrmions, and Majorana fermions in condensed matter systems
2013: Entanglement: From quantum information theory to the classification of quantum matter
2012: Topological states of matter: Concepts, materials, and quantum computers
M-Lab (practical course)
since 2023: M-Lab: Computational Physics