Inhaltsbereich
Numerical Quantum Physics – Overview
- Overview
- Exam
- Materials
- Problem Sheets
Lecturer
Exam
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Exam Organization more
About the lecture
Time and place
Montag, 10:00 c.t. bis 12:00 (Theresienstr. 37 - A 348)Donnerstag, 08:00 c.t. bis 10:00 (Theresienstr. 37 - A 348)
News / Announcements
- The lecture on Monday, 19th of July is moved to Tuesday, 20th of July and will take place in room A450
- The 5th exercise sheet will be put online on Monday, 26th of July
Exam / ECTS / Scheine
The lecture is intended for students of MSc. physics providing 9 ECTS for lecture + exercises. Criterion for receiving the ECTS is to pass a final examination in form of a one-week coding project.
In case you need a Schein please fill in this template and send it to sek.schollwoeck@physik.uni-muenchen.de
Literature
Computational Physics
- J.M. Thijssen, Computational Physics, Cambridge University Press (1999) ISBN 0521575885.
- Nicholas J. Giordano, Computational Physics, Pearson Education (1996) ISBN 0133677230.
- Harvey Gould and Jan Tobochnik, An Introduction to Computer Simulation Methods, 2nd edition, Addison Wesley (1996), ISBN 00201506041.
- Tao Pang, An Introduction to Computational Physics, Cambridge University Press (1997) ISBN 0521485924.
Coding
- Stanley B. Lippman, Josee Lajoie and Barbara E. Moo, C++ Primer (5th edition), Addison Wesley (2012) ISBN 0321714114
- Bjorn Andrist and Viktor Sehr , C++ High Performance: Master the art of optimizing the functioning of your C++ code, Packt Publishing (2020) ISBN 1839216541.
- Aurélien Géron, Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems, O'Reilly Media (2022) ISBN 1098125974
- Sarah Guido and Andreas C. Müller, Introduction to Machine Learning with Python: A Guide for Data Scientists, O'Reilly Media (2016) ISBN 1449369415
Verantwortlich für den Inhalt: Sebastian Paeckel