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DRPS : Course Catalogue : Business School : Business Studies

Undergraduate Course: Management Science and Operations Analytics (BUST10135)

Course Outline
SchoolBusiness School CollegeCollege of Arts, Humanities and Social Sciences
Credit level (Normal year taken)SCQF Level 10 (Year 3 Undergraduate) AvailabilityAvailable to all students
SCQF Credits20 ECTS Credits10
SummaryManagement 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.)
Course description 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)
Pre-requisites Students MUST have passed:
Prohibited Combinations 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-requisitesVisiting students must have at least 4 Business courses at grade B or above. We will only consider University/College level courses.
High Demand Course? Yes
Course Delivery Information
Academic year 2019/20, 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%). Each project report has a 2000-word limit.

Visiting Students = identical assessments.
Feedback 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 2 computer labs and two 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 Semester 1 Board of Examiners' meeting (normally end of January/beginning of February). You will be invited to view your script at the Undergraduate Reception (Room 1.11, Business School, 29 Buccleuch Place). Note that you will not be able to remove any examination scripts from the UG Office.
Exam Information
Exam Diet Paper Name Hours & Minutes
Main Exam Diet S1 (December)2:00
Learning Outcomes
On completion of this course, the student will be able to:
  1. Describe the features of practical operations planning problems.
  2. Discuss critically the practical use of the techniques covered.
  3. Solve a range of operations planning problems using the techniques covered.
  4. Apply appropriate models to support the analysis of operations planning problems.
  5. Plan and carry out a quantitative analysis of a real-world operations planning problem.
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
Graduate Attributes and Skills Cognitive 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.

Key Skills
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 x 1-hour lectures in Weeks 1-5, 7-11; two x 1-hour computer labs; two x 1-hour tutorials.
KeywordsManagement Science and Operations Analytics
Course organiserDr Nader Azizi
Tel: (0131 6)51 1491
Course secretaryMs Patricia Ward-Scaltsas
Tel: (0131 6)50 3823
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