Molecular dynamics and Monte-Carlo simulations
Summary
Introduction to molecular dynamics and Monte-Carlo simulation methods.
Content
- Time-dependent Schrödinger equation
- Statistical mechanics
- Short introduction to statistical mechanics
- Molecular Dynamics simulation
- Monte Carlo simulation
Learning Outcomes
By the end of the course, the student must be able to:
- Manage basic theoretical concepts of Molecular Dynamics and Monte Carlo methods.
- Carry out simple Molecular Dynamics and monte Carlo simulations.
Transversal skills
- Take feedback (critique) and respond in an appropriate manner.
- Use both general and domain specific IT resources and tools
- Write a scientific or technical report.
In the programs
- Semester: Spring
- Exam form: During the semester (summer session)
- Subject examined: Molecular dynamics and Monte-Carlo simulations
- Lecture: 1 Hour(s) per week x 14 weeks
- Exercises: 1 Hour(s) per week x 14 weeks
- Semester: Spring
- Exam form: During the semester (summer session)
- Subject examined: Molecular dynamics and Monte-Carlo simulations
- Lecture: 1 Hour(s) per week x 14 weeks
- Exercises: 1 Hour(s) per week x 14 weeks
- Semester: Spring
- Exam form: During the semester (summer session)
- Subject examined: Molecular dynamics and Monte-Carlo simulations
- Lecture: 1 Hour(s) per week x 14 weeks
- Exercises: 1 Hour(s) per week x 14 weeks
- Semester: Spring
- Exam form: During the semester (summer session)
- Subject examined: Molecular dynamics and Monte-Carlo simulations
- Lecture: 1 Hour(s) per week x 14 weeks
- Exercises: 1 Hour(s) per week x 14 weeks
- Semester: Spring
- Exam form: During the semester (summer session)
- Subject examined: Molecular dynamics and Monte-Carlo simulations
- Lecture: 1 Hour(s) per week x 14 weeks
- Exercises: 1 Hour(s) per week x 14 weeks
- Semester: Spring
- Exam form: During the semester (summer session)
- Subject examined: Molecular dynamics and Monte-Carlo simulations
- Lecture: 1 Hour(s) per week x 14 weeks
- Exercises: 1 Hour(s) per week x 14 weeks