Undergraduate Course: Mathematical Programming (BUST10011)
Course Outline
| School |
Business School |
College |
College of Humanities and Social Science |
| Course type |
Standard |
Availability |
Available to all students |
| Credit level (Normal year taken) |
SCQF Level 10 (Year 3 Undergraduate) |
Credits |
20 |
| Home subject area |
Business Studies |
Other subject area |
None |
| Course website |
None |
|
|
| Course description |
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. |
Information for Visiting Students
| Pre-requisites |
Visiting students should have at least 3 Business Studies/Management courses at grade B or above (or be predicted to obtain this). We will only consider University/College level courses.
|
| Prospectus website |
http://www.ed.ac.uk/studying/visiting-exchange/courses |
Course Delivery Information
|
| Delivery period: 2010/11 Semester 2, Available to all students (SV1)
|
WebCT enabled: Yes |
Quota: None |
| Location |
Activity |
Description |
Weeks |
Monday |
Tuesday |
Wednesday |
Thursday |
Friday |
| Central | Lecture | | 1-11 | | | 09:00 - 10:50 | | |
| First Class |
Week 1, Wednesday, 09:00 - 10:50, Zone: Central. Room S.1 (Second Floor.1), 7 George Square |
| Additional information |
There will be four x two-hour tutorials 4-6pm on Thursdays in Weeks 2,4,6 and 9 in Room G.01 William Robertson Building:
20 January, 3 February, 17 February and 10 March 2011. |
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.
|
Assessment Information
By one project (30%) and a final examination (70%).
|
| Please see Visiting Student Prospectus website for Visiting Student Assessment information |
Special Arrangements
| Not entered |
Contacts
| Course organiser |
Dr Jamal Ouenniche
Tel: (0131 6)50 3792
Email: Jamal.Ouenniche@ed.ac.uk |
Course secretary |
Ms Patricia Ward-Scaltsas
Tel: (0131 6)50 3823
Email: Patricia.Ward-Scaltsas@ed.ac.uk |
|
copyright 2010 The University of Edinburgh -
1 September 2010 5:37 am
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