LEARNING OUTCOMES
After completing the course, the student
- can identify and describe basic models and simulation techniques that are frequently used to solve physical problems in various fields of computational physics, such as quantum, statistical, condensed matter or materials physics
- can use these approaches to solve their own computational physics problems
- can implement these tools into their own codes
Credits: 5
Schedule: 09.01.2025 - 28.05.2025
Teacher in charge (valid for whole curriculum period):
Teacher in charge (applies in this implementation): Adam Foster, Patrick Rinke
Contact information for the course (applies in this implementation):
CEFR level (valid for whole curriculum period):
Language of instruction and studies (applies in this implementation):
Teaching language: English. Languages of study attainment: English
CONTENT, ASSESSMENT AND WORKLOAD
Content
valid for whole curriculum period:
Understand and implement various models appearing in computational quantum, statistical condensed matter and materials physics.
Assessment Methods and Criteria
valid for whole curriculum period:
Graded assignments.
Workload
valid for whole curriculum period:
Computational assignments with support sessions.
DETAILS
Study Material
valid for whole curriculum period:
Provided within course.
Substitutes for Courses
valid for whole curriculum period:
Prerequisites
valid for whole curriculum period:
SDG: Sustainable Development Goals
4 Quality Education
8 Decent Work and Economic Growth
9 Industry, Innovation and Infrastructure
FURTHER INFORMATION
Further Information
valid for whole curriculum period:
Teaching Language: English
Teaching Period: 2024-2025 Spring III - V
2025-2026 Spring III - V