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Courses

MANG2006 Principles and Practice of Management Science

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.

Aims and Objectives

Module Aims

The module is designed to complement the syllabus of MANG2007; together they provide an account of Management Science (MS), what it is and what it has to offer the practice of management. This module will describe many of the classical MS problems and solution techniques and illustrate their use and effectiveness. You will have the opportunity to explore the process of understanding, formulating, solving and analysing a number of practical problems using the tools and techniques introduced in the module.

Learning Outcomes

Knowledge and Understanding

Having successfully completed this module, you will be able to demonstrate knowledge and understanding of:

  • The nature of MS, its history and the context of its contribution to management;
  • The range of techniques, tools, models, methods and approaches;
  • The practical use of MS approaches.
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.
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.
Subject Specific Intellectual and Research Skills

Having successfully completed this module you will be able to:

  • Apply a number of the core MS approaches;
  • Apply MS in practical contexts in a considered manner;
  • Evaluate the outcome of the MS approaches with respect to sensitivity and uncertainty

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 • Lectures that will cover the taught material and include example problems and worked solutions and class discussion. • Classes where problem example sheets will be set in advance to be discussed and solved in the class • Computer workshops where tutorial sheets will be provided on simulation and optimisation. Learning activities include • To include computer workshops on Linear Programming. • Simulation.

TypeHours
Lecture24
Wider reading or practice4
Preparation for scheduled sessions68
Completion of assessment task20
Follow-up work8
Tutorial10
Revision16
Total study time150

Resources & Reading list

Anderson DR, Sweeney DJ, Williams TA and Wisniewski, M (2009). An Introduction to Management Science: Quantitative Approaches to Decision Making. 

Hillier FS and Lieberman GJ. (2005). Introduction to Operations Research. 

Albright SC and Winston WL. (2007). Management Science Modelling. 

Assessment

Formative

Set exercises - non-exam

Summative

MethodPercentage contribution
Examination  (2 hours) 70%
Individual Coursework  (2000 words) 30%

Repeat

MethodPercentage contribution
Examination  (2 hours) 70%
Individual Coursework  (2000 words) 30%

Referral

MethodPercentage contribution
Examination  (2 hours) 100%

Linked modules

Prerequisites: MANG1007 or MANG1019 or ECON1005 or ECON1008

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