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Statistical Mechanics (PHYC90010)
Graduate courseworkPoints: 12.5On Campus (Parkville)
About this subject
- Overview
- Eligibility and requirements
- Assessment
- Dates and times
- Further information
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Contact information
Semester 1
Email: msc@physics.unimelb.edu.au
Overview
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Fees | Look up fees |
This subject provides an advanced introduction to the mathematical theory of collective phenomena in complex, many-body systems, in equilibrium and far from equilibrium, with an emphasis on critical phenomena and the emergence of long-range order. Specific topics may include phase transitions, transfer matrices, mean-field theory, Landau-Ginzburg theory, renormalization group, diffusive stochastic processes (Fokker-Planck equations), birth-death processes (master equations), kinetic transport, and spatio-temporal pattern formation in unstable nonlinear systems (bifurcations, chaos, reaction-diffusion equations). Examples are drawn from physics, chemistry, biology, and the social sciences.
Intended learning outcomes
The objectives of this subject are:
- to challenge the students to expand their knowledge of fundamental physical principles;
- to broaden their appreciation of how statistical mechanics integrates into the discipline of physics overall;
- to develop their capacity to explain the emergence of long-range order in complex, many-bodysystems;
- to appreciate the distinction between equilibrium and far-from-equilibrium dynamics in these systems;
- to solve quantitative problems using the canonical mathematical techniques of statistical mechanics;
- to provide the foundation for more advanced studies in statistical mechanics.
Generic skills
At the completion of this subject, students should have gained skills in:
- analysing how to solve a problem by applying simple fundamental laws to more complicated situations;
- applying abstract concepts to real-world situations;
- solving relatively complicated problems using approximations;
- participating as an effective member of a group in discussions and collaborative assignments;
- managing time effectively in order to be prepared for group discussions and undertake the assignments and exam.
Last updated: 3 November 2022