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
Group Type Day Time Classroom Weeks Comment
Common I Tuesday 14-16 U156 7,12
Common I Tuesday 12-14 U156 8-9,14-17
Common I Tuesday 10-12 U143 10-11
Common I Thursday 12-14 U155 5-6
H1 TE Wednesday 10-12 U17 17
H1 TE Thursday 12-14 U154 8,10,16
H1 TE Thursday 16-18 U155 9
H1 TE Thursday 16-18 U142 11
H1 TE Thursday 12-14 U130 12
H1 TE Thursday 12-14 U31 14
H1 TE Thursday 12-14 U142 15
H1 TE Friday 10-12 U155 5,7
H1 TE Friday 14-16 U155 6
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Comment:
Aflyst F2018

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
  • project work 30. Students work in small groups. The final report describes the result of their work.
  • Report writing 6. The students can get feed-back and guidance.
 
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.