Prof Gregory Sorkin

This course is available on the BSc in Accounting and Finance, BSc in Data Science, BSc in Econometrics and Mathematical Economics, BSc in Economics, BSc in Management, BSc in Mathematics and Economics, BSc in Mathematics with Data Science, BSc in Mathematics with Economics and BSc in Mathematics, Statistics and Business. This course is available as an outside option to students on other programmes where regulations permit. This course is available with permission to General Course students.

Mathematics, Statistics and Probability Theory to the level of the courses Quantitative Methods (Mathematics) (MA107) and Quantitative Methods (Statistics) (ST107) is required. In particular, students should have covered elementary probability theory and the Poisson process, and have an elementary knowledge of linear algebra and calculus.

An introduction to the main methodologies in Operations Research and their theoretical foundations.

Linear Optimisation: a basic introduction, discovering the solution to small problems by graphical methods, duality, sufficient conditions for optimality, solution by the simplex method, and sensitivity analysis. Various other operational research techniques such as: Shortest Paths, Critical Path Analysis, Markov Chains, Queueing Theory, Inventory Management, and Dynamic Programming.

20 hours of lectures and 10 hours of classes in the AT.

This course is delivered through a combination of lectures and classes, totalling a minimum of 30 hours in Autumn Term.

Students will be expected to produce 10 problem sets in the AT.

Students will be asked to submit weekly homework consisting of problem sets.

A comprehensive pack of lecture notes will be provided.

The following books may prove useful for some aspects of the course:

- F S Hillier, G J Liebermann, Introduction to Operations Research, McGraw-Hill Series in Industrial Engineering and Management Science. 7th edition or later.

- W L Winston, Operations Research, Duxbury Press (2004).

- W L Winston, S C Albright: Practical Management Science, Cengage Learning. 4th edition or later.

Exam (100%, duration: 2 hours) in the January exam period.