Computergestützte Methoden in der Vielteilchenphysik

What it is about

You will learn computer-based methods for investigating many-particle systems, from numerical algorithms to machine learning techniques. In the end you will be able to apply typical algorithms and understand and assess the underlying concepts.

What you will be able to do

• Carry out numerical simulations of many-particle systems
• Apply important algorithms for phase transitions and quantum systems
• Understand scaling and information principles (e.g., Area Law)
• Train simpler neural networks and explain backpropagation
• Solve programming projects for deeper understanding

What the module consists of

• LectureConveying the theoretical foundations and methods
• TutorialDeepening through exercises and preparation for the module examination
• Programming project / graded exercisesPractical application and mid-term achievement (part of the bonus mechanism)

Teaching method

• LectureExplanation of concepts and algorithms
• ExercisesPractice of specific competencies and exam preparation
• Programming tasksImplementation and hands-on experience with methods
• Beamer/Handouts/WebsiteProvision of lecture materials and exercise materials