PH3008 - Statistical Mechanics and Transport
Credit points: | 03 |
Year: | 2012 |
Student Contribution Band: | Band 4 |
Administered by: | School of Engineering |
Equilibrium statistical mechanics/ensemble theory. Classical and Quantum Statistics. Applications eg ideal gases, heat capacity, magnetism, Bose-Einstein condensation, Fermi-Dirac gases. Introduction to non-equilibrium statistical mechanics and transport theory.
Learning Outcomes
- understanding of equilibrium statistical mechanics/ensemble theory;
- understanding of Classical and Quantum Statistics;
- understanding of applications eg ideal gases, heat capacity, magnetism, Bose-Einstein condensation, Fermi-Dirac gases;
- understanding of non-equilibrium statistical mechanics and transport theory.
Graduate Qualities
- The ability to adapt knowledge to new situations;
- The ability to define and to solve problems in at least one discipline area;
- The ability to think critically, to analyse and evaluate claims, evidence and arguments, and to reason and deploy evidence clearly and logically;
- The ability to find and access information using appropriate media and technologies;
- The ability to evaluate that information;
- The ability to select and organise information and to communicate it accurately, cogently, coherently, creatively and ethically;
- The acquisition of coherent and disciplined sets of skills, knowledge, values and professional ethics from at least one discipline area;
- The ability to reflect on and evaluate learning, and to learn independently in a self directed manner;
- The ability to read complex and demanding texts accurately, critically and insightfully;
- The ability to generate, calculate, interpret and communicate numerical information in ways appropriate to a given discipline or discourse;
- The ability to work individually and independently;
- The ability to select and use appropriate tools and technologies;
- The ability to use online technologies effectively and ethically.
Prerequisites: | PH2019 AND PH2002 AND MA2000 |
Inadmissible Subject Combinations: | PH2008 |
Availabilities | |
Townsville, Internal, Study Period 1 | |
Census Date 22-Mar-2012 | |
Coord/Lect: | Assoc. Professor Ronald White. |
Contact hours: |
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Assessment: | end of semester exam (50% - 70%); project, hand-in problems (10% - 20%); labs (10% - 20%). |
Note: Minor variations might occur due to the continuous Subject quality improvement process, and in case of minor variation(s) in assessment details, the Subject Outline represents the latest official information.