MSc Business Analytics: Operational Research and Risk Analysis / Course details
Year of entry: 2025
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Course unit details:
Mathematical Programming and Optimisation
Unit code | BMAN60101 |
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Credit rating | 15 |
Unit level | FHEQ level 7 – master's degree or fourth year of an integrated master's degree |
Teaching period(s) | Semester 1 |
Available as a free choice unit? | No |
Overview
This course covers the main mathematical programming and optimisation methods, including: linear, non-linear, integer and dynamic programming. The course also provides an introduction to meta-heuristics. Emphasis is placed on solving managerial optimisation problems by using appropriate software tools.
Pre/co-requisites
Aims
The main aim of this course is to familiarise students with the theory and applications of mathematical programming and optimisation methods. The course aims to provide students with an understanding of the basic mathematical principles and the main technical and computational skills, required for application of various optimization methods in management and business-related areas.
Learning outcomes
At the end of the unit students should be able to understand the main optimization approaches and their applications for solving managerial decision problems. Students should be able to critically analyse and model appropriate decision problems and solve them analytically, or by using optimization software. They will learn to present solutions and arguments in textual and oral forms, both individually and in groups.
Teaching and learning methods
Formal Contact Methods
Minimum Contact hours: 20
Delivery format: Lecture and Workshops
Assessment methods
70% Exam
30% Coursework
Feedback methods
• Informal advice and discussion during lectures and office hours.
• Written and/or verbal comments on assessed or non-assessed work.
• Responses to student frequently asked questions via Blackboard or emails.
• Generic feedback posted on Blackboard regarding overall examination performance.
Recommended reading
The CORE text is:
HILLIER, F and LIEBERMAN, G (2004 or any later edition), Introduction to Operations Research with CD-Rom, McGra Hill
Taha, H.A. Operations Research, An Introduction (1997, 5th Edition or later), Macmillan
Hastings, N.A.J (1988) Dynamic Programming with Management Applications, The Butterworth Group, England
The most important chapter of the book can be accessed from this link: https://contentstore.cla.co.uk/secure/link?id=224f1b5d-22af-e711-80cb-005056af4099 (It will ask you to login first; after login, you may see an error message, but if you come here to click on this link again, it should work
TALBI, El-Ghazali (2009), Metaheuristics: from design to implementation (e-book available through the library)
Other readings:
Smith, D.K (1991) Dynamic Programming, A Practical Introduction, Ellis Horwood
Study hours
Scheduled activity hours | |
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Assessment written exam | 3 |
Lectures | 30 |
Independent study hours | |
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Independent study | 114 |
Teaching staff
Staff member | Role |
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Dong Xu | Unit coordinator |
Additional notes
Informal Contact Method
Office hours
Peer Assisted Study Sessions