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PH3008 - Statistical Mechanics and Transport

Credit points: 3
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, Study Period 1, Internal
Census Date 22-Mar-2012
Coord/Lect: Professor Ronald White.
Workload expectations:
  • 26 hours lectures
  • 13 hours tutorials
  • 24 hours practicals
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.