Operational Research and Operational Research - Excel by bbv89931


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									Minor Theme Code: CSMN052                                                                           Theme Title: Operational Research
GCSE: Maths (minimum entry grade C or equivalent)                                                   A levels: Normally Maths or Statistics
Module Code: MSCI101 Title: Statistics & Computing for Management                                   No of Wks: 10             Terms Taught: M          Lec/Tut: 20/5            exam/cwa: 50/50%
(Pre-requisite A/AS level Maths or equivalant) The aim of MSCI 101 is to impart a familiarity with some useful basic statistical methods and computer tools. The course lasts for the
Michaelmas term only and counts for 40% of a Part I subject.The statistical topics covered include basic data analysis and presentation, probability and the use of some important probability
distributions, index numbers, confidence intervals and hypothesis testing, and an introduction to regression.
Module Code: MSCI103 Title: Intro to Management Science/Operational Research                        No of Wks: 15             Terms Taught: L S (5w) Prac/Lec/Tut: 25/4/15 exam/test: 50/50%
Techniques based on mathematics and statistics can be extremely powerful tools in helping to solve organisational problems. Five such techniques will be introduced on the course. Emphasis is
put not only on how to apply a technique, but also on when (and when not) to apply it. Practical examples of the use of the techniques are stressed. The techniques introduced are: Forecasting,
Linear Programming, Network Analysis, Simulation and Stock Control. They are taught by a mixture of lectures, tutorial exercises and computer practicals.
Module Code: MNGT212 Title: Statistical Methods for Business                                        No of Wks: 10             Terms Taught: M          Lec/Wkshp: 20/10         exam/cwa: 70/30%
(Pre-requisite: MSCI101. A-level Maths/Statistics or equivalent is normally required) At the heart of many real management problems is data that needs to be described, analysed and
interpreted. The overall objective of this course is to develop students' abilities to describe, analyse and interpret data soundly, making effective use of computer software. Statistical methods are
important across the range of Management School subject areas (e.g., accounting & finance, marketing, economics, operations management and operational research). Developing these skills
will also help students demonstrate to prospective employers that they have practical skills that can immediately be put to good use to solve problems for organisations either in the public or
private sector. The lecture materials and problems that students are asked to solve in workshops relate to typical problems that organisations have to solve in practical situations where data
analysis skills are required.
Plus 3 other half unit courses:
Module Code: MSCI222 Title: Optimisation                                                            No of Wks: 10             Terms Taught: M          Lec/Wkshp: 20/6          exam/cwa: 50/50%
(Pre-requisite: MSCI103 or 224) Optimisation is one of the primary techniques associated with Management Science/Operational Research. Linear Programming models are used routinely in
many industries including petroleum refining and the food industry. Integer linear programming models are increasingly being used in practice for complex scheduling problems such as those
that arise in the airline industry where such models have saved large amounts of money. Skills in formulating and solving applied optimisation problems are valuable for anybody interested in a
career in Operational Research or business modelling and consultancy.
Module Code: MSCI223 Title: Business Modelling & Simulation                                         No of Wks: 10             Terms Taught: L          Lec/wkshp: 18/9          cwa: 100%
(Pre-requisite MSCI100 or 101) Computer simulation methods are amongst the most commonly used approaches within Operational Research and Management Science. The aim of this course
is to teach the skills required to apply simulation successfully to help improve the running of a businesss. Modern simulation packages are a valuable aid in building a simulation model and this
course will employ the Witness simulation package, which is widely used commercially. However, without the proper approach, the results of a simulation project can be incorrect or misleading.
This course looks at each of the tasks required in a simulation project. It emphasises the practical application of simulation, with a good understanding of how a simulation model works being an
essential part of this.
Module Code: MSCI224 Title: Techniques for Management Decision Making                               No of Wks: 10             Terms Taught: L          Lec/Tut: 20/10           exam/cwa: 70/30%
(Pre-requisite: MSCI100 or 101) The main aim of the course is to introduce quantitative techniques for management decision-making. These techniques are part of the scientific discipline
known as Management Science/Operational Research and are widely used in practice. Some of the techniques will make use of and extend topics in probability and statistics some of which were
introduced in the MSCI 100 and MSCI 101 courses. Examples and case studies will be used in the lectures so that you can appreciate the application of these techniques. (Cannot be taken with

Further details of the courses are given on our web site: http:// www.lums.lancs.ac.uk/departments/mansci/undergraduate

Content:                     MNGT212 plus three other half unit courses from MSCI222, 223, 224

Assessment:                  Each half unit contributes one mark.


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