PH3008 - Statistical Mechanics and Transport
|Student Contribution Band:
||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
- 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.
- 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
- 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.
||PH2019 AND PH2002 AND MA2000
Study Period 1,
|Census Date 22-Mar-2012
||Professor Ronald White.
- 26 hours lectures
- 13 hours tutorials
- 24 hours practicals
||end of semester exam (50% - 70%); project, hand-in problems (10% - 20%); labs (10% - 20%).
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