Module overview
MANG2006 introduces the building blocks of Management Science as a discipline, which is at the heart of decision-making. The module introduces the history and the context along with the general Management Science approach to decision-making. The rest of the module is of quantitative nature and introduces a number of basic techniques such as mathematical modelling including linear and integer programming, inventory theory, simulation and queuing theory. The coverage of each technique is such that emphasis is given to practical applications on realistic problems and the interpretation of the solutions. The module also covers the use of spreadsheets as modelling tools.
Linked modules
Prerequisites: MANG1007 or MANG1019 or ECON1005 or ECON1008 or MANG1028
Aims and Objectives
Learning Outcomes
Subject Specific Intellectual and Research Skills
Having successfully completed this module you will be able to:
- evaluate the outcome of the MS approaches with respect to sensitivity and uncertainty.
- apply a number of the core MS approaches;
- apply MS in practical contexts in a considered manner;
Subject Specific Practical Skills
Having successfully completed this module you will be able to:
- use quantitative modelling approaches;
- use problem-solving skills;
- use rational analytic skills.
Transferable and Generic Skills
Having successfully completed this module you will be able to:
- use of spreadsheets to solve mathematical programming problems and to perform discrete-event simulations.
Knowledge and Understanding
Having successfully completed this module, you will be able to demonstrate knowledge and understanding of:
- the practical use of MS approaches.
- the nature of MS, its history and the context of its contribution to management;
- the range of techniques, tools, models, methods and approaches;
Syllabus
Management Science: history, context, and the management science process. Mathematical modelling: the development and formulation of a mathematical model.
Solution approaches for management problems; specifically, Linear and Integer Programming, Inventory Theory, Simulation and Queuing Theory.
The interpretation of the mathematical models and solutions in management science.
Learning and Teaching
Teaching and learning methods
Teaching methods include:
- Recorded lectures (broken down into micro-lectures) that will cover the taught material and include example problems and worked solutions and online class discussion.
- Classes during which we will explore the topics in more detail to deepen understanding.
- Computer workshops where tutorial sheets will be provided on simulation and optimisation.
Learning activities include:
- Micro lectures covering all course topics.
- A variety of practice quizzes which will provide feedback straight away.
- Computer workshops on Linear Programming and Simulation Modelling.
Type | Hours |
---|---|
Completion of assessment task | 20 |
Revision | 14 |
Preparation for scheduled sessions | 68 |
Lecture | 24 |
Tutorial | 11 |
Follow-up work | 8 |
Wider reading or practice | 4 |
Total study time | 149 |
Resources & Reading list
Textbooks
Hillier F.S., and Lieberman G.J. (2005). Introduction to Operations Research. McGraw-Hill.
Anderson D.R., Sweeney D.J., Williams T.A., and Wisniewski, M. (2009). An Introduction to Management Science: Quantitative Approaches to Decision Making. Cengage Learning.
Albright S. C., and Winston W. L. (2007). Management Science Modelling. Thomson South-Western.
Assessment
Formative
This is how we’ll give you feedback as you are learning. It is not a formal test or exam.
In-class activities
- Assessment Type: Formative
- Feedback: Students are able to ask questions and get feedback on their work during these classes. At least once in each lecture an example problem is set and the students have opportunity to work in small groups and then receive individual and written feedback.
- Final Assessment: No
- Group Work: No
Summative
This is how we’ll formally assess what you have learned in this module.
Method | Percentage contribution |
---|---|
Coursework | 35% |
Exam | 50% |
Report | 15% |
Referral
This is how we’ll assess you if you don’t meet the criteria to pass this module.
Method | Percentage contribution |
---|---|
Exam | 100% |
Repeat
An internal repeat is where you take all of your modules again, including any you passed. An external repeat is where you only re-take the modules you failed.
Method | Percentage contribution |
---|---|
Exam | 50% |
Report | 15% |
Coursework | 35% |
Repeat Information
Repeat type: Internal & External