Mathematical Programming (BS0018)

? Credit Points : 20 ? SCQF Level : 10 ? Acronym : MSE-3-MP

Optimisation in networks: flows in networks, shortest routes, spanning trees. Integer programming: problem formulations and methods of model solution. The concepts of branch and bound and related strategies. Applications in distribution, production, investment, communications.

Entry Requirements

? Pre-requisites : Management Science and Information Systems BS0035, OR Management Science and Operations Planning BS0190. NOTE: for Economics with Management Science, and Mathematics and Business Studies programmes EITHER Mathematical Programming OR Decision Making Under Uncertainty (BS0021) is a mandatory course in year 4.

Subject Areas

Home subject area

Business Studies, (Management School and Economics, Schedule H)

Delivery Information

? Normal year taken : 3rd year

? Delivery Period : Semester 2 (Blocks 3-4)

? Contact Teaching Time : 2 hour(s) per week for 10 weeks

First Class Information

Date	Start	End	Room	Area	Additional Information
10/01/2007	09:00	10:50	Room G.01, William Robertson Building	Central	No class Week 7 Study Week

All of the following classes

Type	Day	Start	End	Area
Lecture	Wednesday	09:00	10:50	Central

Summary of Intended Learning Outcomes

Objective/Learning Outcomes

Knowledge and Understanding

On completion of the course students should:
(i) be able to assess critically the utility of a number of mathematical programming techniques
(ii) be able to describe mathematical programming solution techniques
(iii) be able to use mathematical programming methods to model management decision problems.

Cognitive Skills

On completion of the course students should:
(i) demonstrate ability in deciding whether a problem is amenable to solution by mathematical programming techniques
(ii) demonstrate ability in using mathematical programming solution techniques
(iii) demonstrate ability in explaining the solution to mathematical programming models.

Key Skills

On completion of the course students should:
(i) be able to formulate problems in mathematical programming terms
(ii) be able to solve mathematical programming problems using commercial software.
(iii) be able to communicate mathematical programming solutions to non-specialists.

Subject Specific Skills

On completion of the course students should:
(i) have extended their model building skills
(ii) have increased their model solution skills.