FY828: Advanced statistical physics
Study Board of Science
Teaching language: Danish, but English if international students are enrolled
EKA: N510032102
Assessment: Second examiner: Internal
Grading: 7-point grading scale
Offered in: Odense
Offered in: Autumn
Level: Master's level course approved as PhD course
STADS ID (UVA): N510032101
ECTS value: 10
Date of Approval: 21-03-2024
Duration: 1 semester
Version: Approved - active
Comment
The course is identical to the previous course titled FY802 (UVA N510004101). This means that if you have previously taken exam attempts in FY802, these attempts will be transferred to this new course.
Entry requirements
Accepted to the masters program or minor in Physics.
The course cannot be followed by students who have passed FY802.
The course cannot be followed by students who have passed FY802.
Academic preconditions
Students taking the course are expected to have knowledge of thermodynamics and equilibrium statistical mechanics.
Course introduction
- Insight into methods, models and phenomena in modern statistical physics.
- The course builds on the knowledge acquired in a bachelor education in physics, in particular the course Statistical physics, and gives the knowledge basis needed for studying topics in statistical physics later in the education.
- In relation to the qualification profile of the degree programme, the course focuses primarily on improving theoretical skills and understanding.
Expected learning outcome
The learning objective of the course is to make the student able to:
- Apply relevant models of equilibrium and non-equilibrium phenomena in systems with many degrees of freedom
- Apply relevant numerical methods
- Validate and interpret the results of both simulations and theoretical analyses
- Critically examine different levels of description for the same physical phenomenon
Content
The following main topics are part of the syllabus:
- Non-equilibrium statistical physics: stochastic processes, entropy and irreversibility, stochastic thermodynamics, linear response theory, Monte Carlo simulations.
- Critical phenomena and renormalization theory: path integrals, 2nd order phase transitions, critical exponents and scaling at a critical point, renormalization and scale invariance.
Literature
Examination regulations
Exam element a)
Timing
January
Tests
Oral exam
EKA
N510032102
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
10
Additional information
The exam takes a starting point in problem solutions and reports written during the course
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.
- Intro phase: 52 hours
- Skills training phase: 38 hours, hereof tutorials: 30 hours, laboratory: 8 hours
Activities during the study phase:
- Study of the teaching material
- Exercises and projects
Teacher responsible
Additional teachers
Timetable
Administrative Unit
Team at Educational Law & Registration
Offered in
Recommended course of study
Transition rules
Transitional arrangements describe how a course replaces another course when changes are made to the course of study.
If a transitional arrangement has been made for a course, it will be stated in the list.
See transitional arrangements for all courses at the Faculty of Science.