Module Catalogue 2025/26

Pre Requisite Comment

N/A

Co Requisite Comment

N/A

Aims

To enhance the students' knowledge of thermodynamics and to develop their understanding of how thermodynamics relates to other elements of physics.

To provide a knowledge and understanding of statistical mechanics and how this can be used to understand the behaviour of collections of large numbers of particles such as atoms, electrons, photons and phonons.

Outline Of Syllabus

Thermodynamics: Fundamental Laws and principles, entropy and conditions for equilibrium. Heat engines, heat pumps and refrigerators. The thermodynamic potentials, F, G and H and their use. Maxwell’s relations and techniques for the transformation of thermodynamic derivatives. Applications illustrating the utility of this theory including the cooling of gases; phase changes; attaining absolute zero; chemical reactions and equilibria, black holes and cosmology.

Statistical Mechanics: Foundational principles, microstates and macrostates. Statistical interpretation of entropy. S = k lnΩ. The Boltzmann distribution: the 2-level system, the harmonic oscillator and heat capacity of solids. The dilute gas: ideal monatomic and diatomic gases. Indistinguishability, fermions and bosons. Fermi-Dirac distribution with application of electrons in metals. The Bose-Einstein distributions with applications to black body radiation; the Einstein and Debye models of heat capacity of solids and Bose-Einstein condensation in liquid helium. Interacting systems and the Ising Model. A further review of principles underlying statistical mechanics: ergodic theory and discussion.

Intended Knowledge Outcomes

To understand the basic concepts of thermodynamics. To understand how these concepts relate to each other and their application in the modelling the thermal properties of systems.

At the end of the module you will have a knowledge and understanding of the statistical interpretation of entropy; you will have a knowledge and understanding of the concept of indistinguishability; you will have a knowledge of the Fermi-Dirac and Bose Einstein distributions, and will be able to apply this knowledge to examples such as gases of atoms and electrons.

Intended Skill Outcomes

The ability to perform simple thermodynamics calculations and to understand how to apply thermodynamic concepts to simple physical systems.

By the end of this module you will have enhanced your skills in problem solving and critical analysis of models.

Students will develop skills across the cognitive domain (Bloom's taxonomy,2001 revised edition): remember, understand, apply, analyse, evaluate and create.

Teaching Rationale And Relationship

Lectures are used for the delivery of theory and explanation of methods, illustrated with examples, and for giving general feedback on marked work. The teaching methods are appropriate to allow students to develop a wide range of skills, from understanding basic concepts and facts to higher-order thinking.

Assessment Rationale And Relationship

A substantial formal unseen examination is appropriate for the assessment of the material in this module. The format of the examination will enable students to reliably demonstrate their own knowledge, understanding and application of learning outcomes. The assurance of academic integrity forms a necessary part of programme accreditation.

Examination problems may require a synthesis of concepts and strategies from different sections, while they may have more than one ways for solution. The examination time allows the students to test different strategies, work out examples and gather evidence for deciding on an effective strategy, while carefully articulating their ideas and explicitly citing the theory they are using.

The coursework assignments allow the students to develop their problem solving techniques, to practise the methods learnt in the module, to assess their progress and to receive feedback; these assessments have a secondary formative purpose as well as their primary summative purpose.

General Notes

N/A