Undergraduate Course: Management Science and Operations Analytics (BUST10135)
||College||College of Humanities and Social Science
|Credit level (Normal year taken)||SCQF Level 10 (Year 3 Undergraduate)
||Availability||Available to all students
|Summary||Management Science is the application of scientific methods of analysis to the problems of managing systems of people, machines, materials and money, the objective being to provide a basis for decision making. This course introduces students to a range of management science techniques and explains how these techniques are used in the area of operations planning. (The Prerequisite for this course is Business Honours entry equivalent - at least 2 Business courses with a minimum mark of 50.) This course was formerly entitled Management Science and Operations Planning BUST10020.
Lectures explain the concepts underpinning a range of management science techniques, describe practical operations planning problems and illustrate how the techniques are applied using examples and case studies based on these problems. The two coursework projects provide students with the opportunity to apply management science techniques to real-world operations planning problems and ask them to analyse the problem and present their findings in a written report.
The course is divided into three topic modules (1. Simulation; 2. Dynamic Programming; 3. Queuing Theory)
and two application techniques modules.
Student Learning Experience
The lecture programme provides details of management science techniques and operations planning problems, supported by suggested readings from the recommended texts.
Students gain experience in the application of the techniques covered in the course by working through the example questions in the course booklet at their own pace, supported by the web-based materials provided.
The two coursework projects present students with real-world operations planning problems and ask them to analyse the problem and present their findings in a written report.
Entry Requirements (not applicable to Visiting Students)
|| Students MUST have passed:
||Other requirements|| Business Honours entry equivalent - meaning students must have taken 2 Business courses with a pass of at least 50.
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.
|High Demand Course?
Course Delivery Information
|Academic year 2016/17, Available to all students (SV1)
|Learning and Teaching activities (Further Info)
Lecture Hours 20,
Summative Assessment Hours 2,
Revision Session Hours 2,
Programme Level Learning and Teaching Hours 4,
Directed Learning and Independent Learning Hours
|Assessment (Further Info)
|Additional Information (Assessment)
||By two individual projects (60% = each 30%) and a 2-hour degree examination (40%). The first project report has a 2000-word limit and the second project report has a 2000-word limit
Visiting Students will have the same assessments since the exam will be in the December Diet.
||1. Generic feedback on your COURSEWORK, together with individual marks and individual feedback, will be posted on Learn within 15 working days from the submission deadline.
2. The optional computer lab and three review tutorials which follow each module provide the opportunity to do further exercises and ask questions.
3. Your EXAMINATION marks will be posted on Learn (together with generic feedback and examination statistics) as soon as possible after the December Diet Board of Examiners' meeting (normally end of January/beginning of February). You will be notified when you may come into the Business Studies Office (Room 1.11, Business School, 29 Buccleuch Place) to review your examination scripts. Note that you will not be able to remove any examination scripts from the UG Office.
||Hours & Minutes
|Main Exam Diet S1 (December)||2:00|
On completion of this course, the student will be able to:
- Describe the features of practical operations planning problems.
- Discuss critically the practical use of the techniques covered.
- Solve a range of operations planning problems using the techniques covered.
- Apply appropriate models to support the analysis of operations planning problems.
- Plan and carry out a quantitative analysis of a real-world operations planning problem.
|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).
|Graduate Attributes and Skills
On completion of the course students should:
1. Demonstrate that they can use management science techniques in the area of operations planning.
2. Demonstrate that they can discuss the results of their analysis.
On completion of the course students should 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 have developed their modelling skills.
|Additional Class Delivery Information
||Two 1-hour lectures in Weeks 1-10; one 1-hour computer lab in Week 4; three 1-hour tutorials in Weeks 5, 6 and 10.
|Keywords||Management Science and Operations Analytics
|Course organiser||Dr Daniel Black
Tel: (0131 6)51 1491
|Course secretary||Ms Patricia Ward-Scaltsas
Tel: (0131 6)50 3823
© Copyright 2016 The University of Edinburgh - 3 February 2017 3:28 am