FY820: Computational statistical physics (5 ECTS)

STADS: 07012601

Level
Master's level course

Teaching period
The course is offered in the spring semester.

Teacher responsible
Email: paolo.sibani@sdu.dk

Additional teachers
zqex@sdu.dk

Timetable
Show entire timetable
Show personal time table for this course.

Prerequisites:
A Bachelor’s degree in physics.

Academic preconditions:
Students taking the course are expected to:

• Have knowledge of statistical physics.

Course introduction
The aim of the course is to enable the student to efficiently use computational techniques to investigate statistical mechanical models. This is important to describe physical problem and to solve practical problems of engineering relevance.

The course builds on the knowledge acquired in the courses FY509 and FY802, and provides a foundation for thesis projects in statistical physics of complex systems. 

In relation to the competence profile of the degree it is the explicit focus of the course to:

• Give the competence to model certain physical phenomena.
• Give programming skills.
• Give knowledge and understanding of the phenomenology of complex systems.

Expected learning outcome
The learning objectives of the course is that the student demonstrates the ability to:

• Use and modify other’s computer codes and write own codes.
• Use statistics to test model hypotheses.
• Visualize data.

Subject overview
The following main topics are contained in the course:

• Kinetic Monte Carlo methods.
• Molecular Dynamics.

Literature

• Noter, der lægges ud på Blackboard.

Website
This course uses e-learn (blackboard).

Prerequisites for participating in the exam
None

Assessment and marking:

1. Oral exam based on written report. (5 ECTS). Internal second examiner, marking according to the 7 point scale. (07012602).

Expected working hours
The teaching method is based on three phase model.
Intro phase: 18 hours
Skills training phase: 18 hours, hereof:
 - Tutorials: 18 hours
 - Laboratory exercises: 14 hours

Educational activities
Educational form

Language
This course is taught in Danish.

Course enrollment
See deadline of enrolment.

Tuition fees for single courses
See fees for single courses.