Teaching
summer 2021

Computational ManyBody Physics
all lectures will be available as online videos
Wed 16.00  17.30  E0.03

Machine Learning Quantum Matter
Mon 15.30  17.00
winter 2020/2021

Statistical Physics
all lectures available as online videos
Fri, 10.00  11.00  E0.03

Advanced Julia Programming
online workshop organized by Carsten Bauer
March 1518, 2021
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 indepth 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 nonequilibrium physics.
[course website, vimeo channel]
Computational ManyBody Physics
A graduate level course that provides an overview of modern numerical approaches to manybody systems, both classical and quantum. The indepth introduction of elementary algorithms includes Monte Carlo methods, machine learning techniques, and entanglement based approaches.
[course website, vimeo channel]
traditional lectures

Computational Physics: 2020,
2019,
2016^{*},
2014,
2013

Solid State Theory: 2019,
2018,
2016

Computational ManyBody Physics: 2021,
2018,
2015,
2012

Statistical Physics: 2020,
2017

Advanced Quantum Mechanics: 2015,
2014

Classical Field Theory: 2013,
2012^{*}
chronological
2021: Vorkurs
2021: Computational ManyBody Physics
2020: Statistical Physics
2020: Computational Physics
2019: Solid State Theory
2019: Computational Physics
2018: Solid State Theory
2018: Computational ManyBody Physics
2017: Statistical Physics
2016: Solid State Theory
2016: Computational Physics
2015: Advanced Quantum Mechanics
2015: Computational ManyBody Physics
2014: Advanced Quantum Mechanics
2014: Computational Physics
2013: Classical Field Theory
2013: Computational Physics
2012: Classical Field Theory
2012: Computational ManyBody Physics
seminars
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