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DEGREE REGULATIONS & PROGRAMMES OF STUDY 2008/2009
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Home : College of Humanities and Social Science : School of Business and Economics (Schedule H) : Business Studies

Archived Version

The Degree Regulations and Programmes of Study has been formulated as a dynamic online publication in order to provide the most up to date information possible. Master versions of the Degree Regulations and Programmes of Study incorporating all changes to date are archived twice a year on 1 September and within the first three University working days prior to the start of Semester 2 in January. Please note that some of the data recorded about this course has been amended since the last master version was archived. That version should be consulted to determine the changes made.

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Management Science and Information Systems (BS0035)

? Credit Points : 20  ? SCQF Level : 8  ? Acronym : SBE-2-MSIS

Information and decision making: management information systems and their uses. Introduction to the Management Science techniques of forecasting, decision analysis, linear programming and critical path analysis, and the use of these techniques to support management decision making.

Entry Requirements

? Pre-requisites : Business Studies 1 (BS0001) OR (Industrial Management 1 (BS0002) plus Techniques of Management (ME0002)) OR Economic Principles and Applications (U01135) OR Economics 1A (U01141).

Subject Areas

Delivery Information

? Normal year taken : 2nd year

? Delivery Period : Semester 2 (Blocks 3-4)

? Contact Teaching Time : 2 hour(s) per week for 10 weeks

? Other Required Attendance : 1 hour(s) per week for 8 weeks

First Class Information

Date Start End Room Area Additional Information
13/01/2009 15:00 16:00 Lecture Theatre 4, Appleton Tower Central

All of the following classes

Type Day Start End Area
Lecture Tuesday 15:00 15:50 Central
Lecture Thursday 15:00 15:50 Central

? Additional Class Information : Plus tutorials; five tutorials are 1 hour classes and 3 are two-hour computer lab exercises. Please sign up for tutorial groups on WebCT.

Summary of Intended Learning Outcomes

Objectives/Learning Outcomes

Management Science is an approach to management decision-making that makes extensive use of quantitative methods. This course aims to introduce students to the application of quantitative techniques to problems where models capture problem structure and use it to help optimise the decision outcome. A combination of computer sessions and example classes demonstrate how advances in computing power have made these techniques more accessible to managers and how the techniques can be applied to a range of different situations. These broad aims map to a number of explicit learning outcomes:

Knowledge & Understanding
On completion of the course students should be able to:
- discuss the practical use of the techniques covered;
- use the modelling techniques covered to help structure management problems;
- solve models built using the techniques covered.

Cognitive Skills
On completion of the course students should be able to:
- demonstrate that they can identify which of the techniques covered is most suitable for a management problem;
- demonstrate that they can interpret the results of their analysis of a management problem.

Key Skills
On completion of the course students should be able to:
- demonstrate that they can build and analyse a model of a management problem;
- demonstrate their ability to apply their computer skills to support the analysis of a management problem.

Subject Specific Skills
On completion of the course students should:
- have developed their modelling skills.

Assessment Information

Computer laboratory exercises. Computer Lab Exercise = 10%, Degree exam = 90%; resit exam = 100%.

Exam times

Diet Diet Month Paper Code Paper Name Length
1ST May 1 - 2 hour(s)
2ND August 1 - 2 hour(s)

Contact and Further Information

The Course Secretary should be the first point of contact for all enquiries.

Course Secretary

Ms Patricia Ward-Scaltsas
Tel : (0131 6)50 3823
Email : Patricia.Ward-Scaltsas@ed.ac.uk

Course Organiser

Dr John Glen
Tel : (0131 6)50 3803
Email : John.Glen@ed.ac.uk

School Website : http://www.business-school.ed.ac.uk

College Website : http://www.hss.ed.ac.uk/

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