Dr K Papadaki, NAB 3.14

The course is compulsory for MSc Operational Research students. Optional course for MSc Applicable Mathematics, MSc Analysis, Design and Management of Information Systems, MSc Management and MSc Decision Sciences and as an outside option for students on other degrees where programme regulations permit.

Students must have a knowledge of mathematics and statistics to the level of the undergraduate paper MA107/ST107 Quantitative Methods.

An introduction to a range of Operational Research techniques.  The particular techniques taught may vary slightly from year to year. Topics normally covered are: inventory models, forecasting, queueing theory, replacement, critical path analysis, dynamic programming, markov chains, and game theory.

Lectures: OR401 x 14 LT and 2 revision sessions in ST.
Classes: OR401 A x 14 LT.

Problems are set in lectures each week, which students will be expected to attempt to solve. Solutions will be discussed in weekly classes.

Recommended books are: Wayne Winston, Operational Research; Applications and Algorithms, Fourth/Internatioal Student Edition.

Students may also wish to consult: F S Hillier & G J Lieberman, Introduction to Operations Research, 7th edn.

A three-hour written examination in ST.