- Department: Economics and Related Studies
- Module co-ordinator: Prof. Subir Chattopadhyay
- Credit value: 10 credits
- Credit level: M
- Academic year of delivery: 2022-23
- See module specification for other years: 2021-22
The module serves as an introduction to formulating and analysing economic problems in a mathematically rigorous manner. It is aimed primarily at those doctoral students who wish to work in areas in which they will have to read material that is technically demanding. There will be lectures on optimization, a narrow area that will be studied in some depth, followed by student presentations on topics chosen with the lecturer’s approval.
Occurrence | Teaching period |
---|---|
A | Autumn Term 2022-23 |
To introduce students to optimisation at an adequate level. Emphasis will be laid on both an intuitive grasp of the material (by using geometry in the exposition and examples) and on formal proofs. The topics covered include elementary analysis, Lagranges method, convex analysis, separation theorems, Kuhn-Tucker result on local maximisation, concave programming, quasiconcave programming, Euler-Lagrange conditions, discrete time dynamic programming under certainty, and a study of the corresponding Bellman Equation.
On completing the course of lectures the student is expected to recognize a proof, and to identify the technique appropriate for resolving optimisation problems that one encounters in economics. By extension, the training should permit the student to access other tools from mathematics that are used in economic analysis. The presentations will allow students to develop the technical skills necessary to engage in research in areas of their choice.
Task | Length | % of module mark |
---|---|---|
Essay/coursework Presentation report |
N/A | 25 |
Oral presentation/seminar/exam Oral Presentation |
N/A | 75 |
None
Task | Length | % of module mark |
---|---|---|
Essay/coursework Presentation report |
N/A | 25 |
Oral presentation/seminar/exam Oral Presentation |
N/A | 75 |
Feedback will be provided to students in line with University guidelines.