The intended learning outcomes are achieved using the following teaching and learning strategies.
- present and explore core ideas in the subject of mathematical finance in a form allowing students to appreciate the taxonomy of models and methods;
- demonstrate solution strategies using leading models through practical examples, and
- review critically the experience of applications in the finance domain.
- provide a structured opportunity for students to practice techniques and methods in mathematical analysis of problems in mathematical finance using analytical and computational tools;
- promote discussion and sharing of ideas in the practice of mathematical analysis in a finance setting, and
- provide a structured opportunity to develop computational and numerical solutions to problems with guidance from tutors.
- recommended texts, key articles and other materials in advance of, or following, lecture classes for the purposes of discussion.
- enable students to tackle practical problems in mathematical finance and abstract analysis relevant to the analysis of finance, and
- provide an opportunity to demonstrate, and test, the selection of appropriate analytical and computational tools.
Expert (guest) lectures:
- provide illustrative cases of the practical application of tools and techniques in mathematical finance from corporate, bank, bond or securities finance in industry, and
- relate the mathematical and analytical purposes of analysis to the management and organisational context of the financial firm.
- enables students to practice the application of mathematical research techniques in an industrial context and/or academic context, and
- provides an opportunity for students to study in depth a mathematical problem in a financial firm.