Undergraduate Course: Management Science and Operations Planning (BUST10020)

Course Outline
School	Business School	College	College of Humanities and Social Science
Credit level (Normal year taken)	SCQF Level 10 (Year 3 Undergraduate)	Availability	Available to all students
SCQF Credits	20	ECTS Credits	10
Summary	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, queueing theory, simulation & dynamic programming. The techniques will be introduced and their application in operations planning will be demonstrated.
Course description	Management Science techniques can be applied to a wide range of problems that arise in planning the operations of many organisations. The aims of this course are: - to introduce the Management Science techniques of simulation, queuing theory and dynamic programming; - to develop model building skills using these techniques; - to gain experience in the application of these techniques within inventory management and through a case study. The course is divided into 3 modules of techniques models: Simulation, Dynamic Programming, Queuing Theory; followed by applications to selected cases.

Entry Requirements (not applicable to Visiting Students)
Pre-requisites		Co-requisites
Prohibited Combinations		Other requirements	Business Studies Honours entry.

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.

Course Delivery Information

Academic year 2014/15, Available to all students (SV1)		Quota: None
Course Start	Semester 1
Timetable	Timetable
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 )
Assessment (Further Info)	Written Exam 40 %, Coursework 60 %, Practical Exam 0 %
Additional Information (Assessment)	By two individual projects (60% = each 30%) and a 2-hour degree examination (40%). Visiting Student Variant Assessment: By two individual projects (100% = each 50%)
Feedback	Not entered
Exam Information
Exam Diet	Paper Name		Hours & Minutes
Main Exam Diet S2 (April/May)			2:00

Academic year 2014/15, Part-year visiting students only (VV1)		Quota: None
Course Start	Semester 1
Timetable	Timetable
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 )
Assessment (Further Info)	Written Exam 0 %, Coursework 100 %, Practical Exam 0 %
Additional Information (Assessment)	By two individual projects (60% = each 30%) and a 2-hour degree examination (40%). Visiting Student Variant Assessment: By two individual projects (100% = each 50%)
Feedback	Not entered
No Exam Information

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 in the area of operations planning; b) demonstrate that they can discuss the results of their analysis. Key Skills On completion of the course students should: a) demonstrate that they can apply appropriate models 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.

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).

Additional Information
Course URL	http://www.bus.ed.ac.uk/programmes/ugpc.html
Graduate Attributes and Skills	Not entered
Additional Class Delivery Information	There will also be 3 optional tutorials and 1 computer lab. The 3 review tutorials are Fridays 11.10am-12.00noon on 26 Sept. (Week 2), 10 Oct.(Week 4), 14 Nov.(Week 9) - (venue to be confirmed); the 1 COMPUTER LAB is Friday 11.10-12.00noon on 3 October (WEEK 3) in Room 1.12 Computer Lab, Business School, 29 Buccleuch Place.
Keywords	MSOP

Contacts
Course organiser	Dr Daniel Black Tel: (0131 6)51 1491 Email: Dan.Black@ed.ac.uk	Course secretary	Ms Patricia Ward-Scaltsas Tel: (0131 6)50 3823 Email: Patricia.Ward-Scaltsas@ed.ac.uk