Undergraduate Course: Management Science and Operations Planning (BUST10020)
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 10 (Year 3 Undergraduate) | 
Credits | 20 | 
 
| Home subject area | Business Studies | 
Other subject area | None | 
   
| Course website | 
http://www.bus.ed.ac.uk/programmes/ugpc.html | 
Taught in Gaelic? | No | 
 
| Course description | Management Science techniques can be applied to a wide range of problems that arise in planning the operations of many organisations. The Management Science techniques will be selected from inventory management, maintenance and replacement, queueing theory, simulation & dynamic programming. The techniques will be introduced and their application in operations planning will be demonstrated. | 
 
 
Entry Requirements (not applicable to Visiting Students)
| Pre-requisites | 
 | 
Co-requisites |  | 
 
| Prohibited Combinations |  | 
Other requirements |  Business Studies Honours entry. | 
 
| Additional Costs |  None | 
 
 
Information for Visiting Students 
| Pre-requisites | Visiting students should have at least 3 Business Studies courses at grade B or above (or be predicted to obtain this). We will only consider University/College level courses.  
 
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| Displayed in Visiting Students Prospectus? | Yes | 
 
 
Course Delivery Information
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| Delivery period: 2014/15  Semester 1, Available to all students (SV1) 
  
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Learn enabled:  Yes | 
Quota:  None | 
 | 
 
Web Timetable  | 
	
Web Timetable | 
	| Class Delivery Information | 
	There will also be 7 optional tutorials (a one-hour tutorial at the end of each of the 5 modules plus 2 computer labs). The 5 review tutorials are Fridays 11.10am-12.00noon on 27 Sept. (Week 2), 11 Oct.(Week 4), 1 Nov.(Week 7), 15 Nov.(Week 9), 29 Nov.(Week 11) in Seminar Room 2.14, Appleton Tower; the  2 COMPUTER LABS are Friday 11.10-12.00noon on 8 November(WEEK 8) and 22 November(Week 10) in Room 1.12 Computer Lab, Business School, 29 Buccleuch Place. | 
 
 
| Course Start Date | 
15/09/2014 | 
 
| Breakdown of Learning and Teaching activities (Further Info) | 
 
 Total Hours:
200
(
 Lecture Hours 20,
 Summative Assessment Hours 2,
 Revision Session Hours 2,
 Programme Level Learning and Teaching Hours 4,
Directed Learning and Independent Learning Hours
172 )
 | 
 
| Additional Notes | 
 | 
 
| Breakdown of Assessment Methods (Further Info) | 
 
  Written Exam
80 %,
Coursework
20 %,
Practical Exam
0 %
 | 
 
| Exam Information | 
 
    | Exam Diet | 
    Paper Name | 
    Hours & Minutes | 
    
	 | 
  
| Main Exam Diet S2 (April/May) |  | 2:00 |  |  
 
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| Delivery period: 2014/15  Semester 1, Part-year visiting students only (VV1) 
  
 | 
Learn enabled:  No | 
Quota:  None | 
 | 
 
Web Timetable  | 
	
Web Timetable | 
	| Class Delivery Information | 
	There will also be 7 optional tutorials (a one-hour tutorial at the end of each of the 5 modules plus 2 computer labs). The 5 review tutorials are Fridays 11.10am-12.00noon on 27 Sept. (Week 2), 11 Oct.(Week 4), 1 Nov.(Week 7), 15 Nov.(Week 9), 29 Nov.(Week 11) in Seminar Room 2.14, Appleton Tower; the  2 COMPUTER LABS are Friday 11.10-12.00noon on 8 November(WEEK 8) and 22 November(Week 10) in Room 1.12 Computer Lab, Business School, 29 Buccleuch Place. | 
 
 
| Course Start Date | 
15/09/2014 | 
 
| Breakdown of Learning and Teaching activities (Further Info) | 
 
 Total Hours:
200
(
 Lecture Hours 20,
 Revision Session Hours 2,
 Programme Level Learning and Teaching Hours 4,
Directed Learning and Independent Learning Hours
174 )
 | 
 
| Additional Notes | 
 | 
 
| Breakdown of Assessment Methods (Further Info) | 
 
  Written Exam
0 %,
Coursework
100 %,
Practical Exam
0 %
 | 
 
| No Exam Information | 
 
Summary of Intended Learning Outcomes 
Objectives/Learning Outcomes 
 
Knowledge & Understanding 
On completion of the course students should: 
a) be able to describe the features of practical operations planning problems; 
b) be able to discuss critically the practical use of the techniques covered; 
c) be able to solve a range of operations planning problems using the techniques covered. 
 
Cognitive Skills 
On completion of the course students should: 
a) demonstrate that they can use management science techniques; 
b) demonstrate that they can discuss the results of their analysis. 
 
Key Skills 
On completion of the course students should: 
a) demonstrate their ability to apply Microsoft Excel to support the analysis of operations planning problems; 
b) demonstrate that they can plan and carry out a quantitative analysis of a real-world operations planning problem; 
c) demonstrate that they can present the findings of a quantitative analysis in a concise written report. 
 
Subject Specific Skills 
On completion of the course students should: 
a) have developed their modelling skills. | 
 
 
Assessment Information 
By one project (max 3,000 words) (20%) and a degree examination (80%). 
Visiting Student Variant Assessment: 
Project(max 3,000 words) 50% and 
One Essay (max 3,000 words) 50%. |  
 
Special Arrangements 
| None |   
 
Additional Information 
| Academic description | 
Not entered | 
 
| Syllabus | 
The course is divided into 5 modules: Inventory Management, Maintenance and Replacement, Queuing, Simulation and Dynamic Programming. | 
 
| Transferable skills | 
Not entered | 
 
| Reading list | 
There is no set textbook for this course, but the following books will prove useful: 
1. Taha H. A., Operations Research ¿ An Introduction, Pearson/Prentice Hall, 2007. 
2. Anderson, D.R. Sweeney, D.J., Williams, T.A. and Martin, K., An Introduction to Management Science: Quantitative Approaches to Decision Making, Twelfth edition, Thomson South Western, 2007. 
3. Taylor, Bernard W., Introduction to Management Science, Ninth edition, Pearson/Prentice Hall, 2006. 
4. Albright, Christian S. and Winston, Wayne L., Management Science Modelling 
Thomson South-Western, 2005. 
5. F.S. Hillier and G.J. Lieberman, Introduction to Operations Research, Fifth edition, McGraw-Hill, 1995. 
6. W.L. Winston, Operations Research: Applications and Algorithms, Third edition, Duxbury, 1994. 
7. S French, R Hartley, L C Thomas and D J White, Operational Research Techniques, Arnold, London, 1986 (Out of print, but in library). 
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| Study Abroad | 
Not entered | 
 
| Study Pattern | 
Not entered | 
 
| Keywords | MSOP | 
 
 
Contacts 
| Course organiser | Dr Daniel Black 
Tel: (0131 6)51 1491 
Email:  | 
Course secretary | Ms Patricia Ward-Scaltsas 
Tel: (0131 6)50 3823 
Email:  | 
   
 
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