Undergraduate Course: Management Science and Information Systems (BUST08007)
Course Outline
| School |
Business School |
College |
College of Humanities and Social Science |
| Course type |
Standard |
Availability |
Available to all students |
| Credit level (Normal year taken) |
SCQF Level 08 (Year 2 Undergraduate) |
Credits |
20 |
| Home subject area |
Business Studies |
Other subject area |
None |
| Course website |
None |
|
|
| Course description |
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. |
Information for Visiting Students
| Pre-requisites |
Visiting 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. |
| Prospectus website |
http://www.ed.ac.uk/studying/visiting-exchange/courses |
Course Delivery Information
|
| Delivery period: 2010/11 Semester 2, Available to all students (SV1)
|
WebCT enabled: Yes |
Quota: None |
| Location |
Activity |
Description |
Weeks |
Monday |
Tuesday |
Wednesday |
Thursday |
Friday |
| Central | Lecture | | 1-11 | | | | 15:00 - 15:50 | | | Central | Lecture | | 1-11 | | 15:00 - 15:50 | | | |
| First Class |
Week 1, Tuesday, 15:00 - 15:50, Zone: Central. Lecture Theatre 2 (LT2), Appleton Tower |
| Additional information |
1 hour(s) per week for 8 week(s). 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 Exercises = 10%, Degree exam = 90%; resit exam = 100%. |
| Please see Visiting Student Prospectus website for Visiting Student Assessment information |
Special Arrangements
| Not entered |
Contacts
| Course organiser |
Dr John Glen
Tel: (0131 6)50 3803
Email: John.Glen@ed.ac.uk |
Course secretary |
Ms Patricia Ward-Scaltsas
Tel: (0131 6)50 3823
Email: Patricia.Ward-Scaltsas@ed.ac.uk |
|
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1 September 2010 5:37 am
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