FY820: Computational statistical physics
Study Board of Science
Teaching language: Danish, but English if international students are enrolled
EKA: N510024102
Assessment: Second examiner: Internal
Grading: 7-point grading scale
Offered in: Odense
Offered in: Spring
Level: Master
STADS ID (UVA): N510024101
ECTS value: 5
Date of Approval: 24-10-2018
Duration: 1 semester
Version: Archive
Comment
07012601(former UVA) is identical with this course description.
If there are fewer than 12 students enrolled, the course may. be held with another teaching form.
Cancelled spring 2019
If there are fewer than 12 students enrolled, the course may. be held with another teaching form.
Cancelled spring 2019
Entry requirements
Academic preconditions
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.
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 ( or FY523 and FY524) 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.
Content
The following main topics are contained in the course:
- Kinetic Monte Carlo methods.
- Molecular Dynamics.
Literature
Examination regulations
Exam element a)
Timing
Spring
Tests
Oral exam based on written report
EKA
N510024102
Assessment
Second examiner: Internal
Grading
7-point grading scale
Identification
Student Identification Card
Language
Normally, the same as teaching language
Examination aids
To be announced during the course
ECTS value
5
Additional information
The examination form for re-examination may be different from the exam form at the regular exam.
Indicative number of lessons
Teaching Method
At the faculty of science, teaching is organized after the three-phase model ie. intro, training and study phase.
Activities during the studyphase.
- 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.