Undergraduate Course: Mathematical Programming (BUST10011)
Course Outline
School  Business School 
College  College of Humanities and Social Science 
Credit level (Normal year taken)  SCQF Level 10 (Year 3 Undergraduate) 
Availability  Available to all students 
SCQF Credits  20 
ECTS Credits  10 
Summary  Optimisation problems are concerned with optimising an objective function subject to a set of constraints. When optimisation problems are translated in algebraic form, we refer to them as mathematical programs. Mathematical programming, as an area within Operational Research / Management Science (OR/MS), is concerned with strategies and methods for solving mathematical programs. In this course, we address model building and validation in OR/MS, present a variety of typical OR/MS problems and their formulations, provide general tips on how to model certain managerial situations, and discuss solution strategies and present solution methods for linear programs, nonlinear programs and integer programs. Last, but not least, students are encouraged to use computer software for solving mathematical programs and to interpret computer output. 
Course description 
The 4 main topics covered in this course are: Introduction to OR/MS and Model Building, Linear Programming, Integer Programming, Nonlinear Programming.

Information for Visiting Students
Prerequisites  A pass in Management Science and Information Systems (BUST08007) OR
Management Science and Operations Planning (BUST10020) equivalents.
Visiting students should have at least 3 Business Studies courses at grade B or above (or be predicted to obtain this). We will only consider University/College level courses.

Course Delivery Information

Academic year 2014/15, Available to all students (SV1)

Quota: None 
Course Start 
Semester 2 
Timetable 
Timetable 
Learning and Teaching activities (Further Info) 
Total Hours:
200
(
Lecture Hours 20,
Summative Assessment Hours 2,
Programme Level Learning and Teaching Hours 4,
Directed Learning and Independent Learning Hours
174 )

Assessment (Further Info) 
Written Exam
70 %,
Coursework
30 %,
Practical Exam
0 %

Additional Information (Assessment) 
By one project (30%) and a final examination (70%).

Feedback 
Not entered 
Exam Information 
Exam Diet 
Paper Name 
Hours & Minutes 

Main Exam Diet S2 (April/May)   2:00  
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 nonspecialists.
Subject Specific Skills
On completion of the course students should:
(i) have extended their model building skills
(ii) have increased their model solution skills.

Reading List
Recommended Reading:
1. S. P. Bradley, A. C. Hax, and T. L. Magnanti (1977), Applied Mathematical Programming, AddisonWesley. [JCM Library shelfmark QA402.5 Bra; copy on order for Main Library HUB Reserve};
2. M. S. Bazaraa, H. D. Sherali, C. M. Shetty (2006), Nonlinear Programming: Theory and Algorithms, third edition, Wiley. [Copy in Main Library HUB Reserve shelfmark T57.8 Baz].

Additional Information
Graduate Attributes and Skills 
Not entered 
Additional Class Delivery Information 
There will be four x twohour noncompulsory tutorials 4.106pm on Thursdays in Weeks 2,5,9 and 11. 
Keywords  mathematical programming, operational research, model building 
Contacts
Course organiser  Dr Jamal Ouenniche
Tel: (0131 6)50 3792
Email: Jamal.Ouenniche@ed.ac.uk 
Course secretary  Ms Patricia WardScaltsas
Tel: (0131 6)50 3823
Email: Patricia.WardScaltsas@ed.ac.uk 

