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DRPS : Course Catalogue : Business School : Business Studies

Undergraduate Course: Management Science and Information Systems (BUST08007)

Course Outline
SchoolBusiness School CollegeCollege of Humanities and Social Science
Course typeStandard AvailabilityAvailable to all students
Credit level (Normal year taken)SCQF Level 8 (Year 2 Undergraduate) Credits20
Home subject areaBusiness Studies Other subject areaNone
Course website None Taught in Gaelic?No
Course descriptionInformation 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 (not applicable to Visiting Students)
Pre-requisites Students MUST have passed: Business Studies 1 (BUST08001) OR Economics 1A (ECNM08005) OR Economic Principles and Applications (ECNM08002) OR ( Industrial Management 1 (BUST08002) AND Techniques of Management (MAEE08002))
Prohibited Combinations Other requirements None
Additional Costs None
Information for Visiting Students
Pre-requisitesVisiting students should usually have at least 1 introductory level Business Studies course at grade B or above (or be predicted to obtain this) for entry to this course. We will only consider University/College level courses.
Displayed in Visiting Students Prospectus?Yes
Course Delivery Information
Delivery period: 2013/14 Semester 2, Available to all students (SV1) Learn enabled:  Yes Quota:  None
Web Timetable Web Timetable
Class Delivery Information Plus tutorials for 8 weeks; five tutorials are 1 hour classes and 3 are two-hour computer lab exercises. Please sign up for tutorial groups on Learn9.
Course Start Date 13/01/2014
Breakdown of Learning and Teaching activities (Further Info) Total Hours: 200 ( Lecture Hours 20, Seminar/Tutorial Hours 5, Summative Assessment Hours 8, Programme Level Learning and Teaching Hours 4, Directed Learning and Independent Learning Hours 163 )
Additional Notes
Breakdown of Assessment Methods (Further Info) Written Exam 90 %, Coursework 0 %, Practical Exam 10 %
Exam Information
Exam Diet Paper Name Hours & Minutes
Main Exam Diet S2 (April/May)2:00
Resit Exam Diet (August)2:00
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 Exercises = 10%, Degree exam = 90%; resit exam = 100%.
Special Arrangements
Additional Information
Academic description Not entered
Syllabus Not entered
Transferable skills Not entered
Reading list Recommended Reading:
1. David R. Anderson, Dennis J. Sweeney, Thomas A. Williams, R. Kipp Martin, An Introduction to Management Science: Quantitative Approaches to Decision Making, 12th ed.;
2. Bernard W. Taylor, Introduction to Management Science, 10th ed.;
3. Frederick S. Hillier and Gerald J. Lieberman, Introduction to Operations Research, 8th ed.;
4. Jeffrey H. Moore and Larry R. Weatherford, Decision Modeling with Microsoft Excel, 6th ed.;
5. Wayne L. Winston, Operations Research Applications and Algorithms, 3rd ed.;
6. F. X. Diebold, Elements of Forecasting, 4th ed.
Study Abroad Not entered
Study Pattern Not entered
KeywordsNot entered
Course organiserDr Roberto Rossi
Tel: (0131 6)51 5239
Course secretaryMs Patricia Ward-Scaltsas
Tel: (0131 6)50 3823
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