This course is available on the BSc in Accounting and Finance, BSc in Business Mathematics and Statistics, BSc in Econometrics and Mathematical Economics, BSc in Economics, BSc in Management, BSc in Mathematics and Economics and BSc in Mathematics with Economics. This course is available as an outside option to students on other programmes where regulations permit and to General Course students.
This course is available on the BSc in Accounting and Finance, BSc in Business Mathematics and Statistics, BSc in Econometrics and Mathematical Economics, BSc in Economics, BSc in Management, BSc in Mathematics and Economics and BSc in Mathematics with Economics. This course is available as an outside option to students on other programmes where regulations permit and to General Course students.
This course is delivered through a combination of classes and lectures totalling a minimum of 60 hours across Michaelmas Term and Lent Term. This year, some or all of this teaching will be delivered through a combination of virtual classes and lectures delivered as online videos.
Students will be expected to produce 10 problem sets in the MT and 1 project and 5 problem sets in the LT. The formative coursework comprises weekly problem sets.?A mock project will be given, similar in format to the summative project, to be carried out by the same groups that will work on the final project.?This is meant as a trial run of the group project, but with no summative mark.
Comprehensive lecture notes will be provided. The course content largely follows the following textbook:F S?Hillier, G J?Liebermann, Introduction to Operations Research, McGraw-Hill Series in Industrial Engineering and Management Science. Any edition from 7th onward. Further reading includes: W L Winston, Operations Research, Duxbury Press (2004). W L Winston, S C Albright: Practical Management Science, Cengage Learning. 4th edition or later. H P Williams, Model Building in Mathematical Programming, Wiley (2013).
Exam (80%, duration: 2 hours and 45 minutes) in the summer exam period. Case analysis (20%) in the LT. The group project will consist of a case study developed by the lecturer and presenting a (simplified version of a) real world problem that is amenable to optimisation and simulation techniques?that are taught in the course. The students will need to choose the appropriate techniques, develop a mathematical model, implement it using the software taught in the course, and write a report describing the approach and reporting critically the results obtained from the solution of the model.? Projects will be carried out in small groups; students will need to submit an individual reflection form to assess whether the split in workload was fair and balanced.