IB3A7-15 The Practice of Operational Research
Introductory description
The module equips students with the skills to conduct analytical / OR projects in
organisations, with an emphasis on practical aspects. Alongside some 'technical',
numbers-based content, the module explores the 'soft' tools needed to make analytical
projects succeed by aligning analysis with business aims. In this context, students develop
basic skills in problem structuring methods (PSMs) such as rich picturing and causal
mapping to allow them to assume an holistic perspective. Students are asked to critically
evaluate the impact of real-world analytical projects and to develop their critical thinking
and logical reasoning skills to this end. Students are expected to work collaboratively and
the group work elements includes a video presentation on a simulated consulting project
that runs alongside the module
Module aims
The module equips students with the skills to conduct analytical / OR projects in
organisations, with an emphasis on practical aspects. Alongside some 'technical',
numbers-based content, the module explores the 'soft' tools needed to make analytical
projects succeed by aligning analysis with business aims. In this context, students develop
basic skills in problem structuring methods (PSMs) such as rich picturing and causal
mapping to allow them to assume an holistic perspective. Students are asked to critically
evaluate the impact of real-world analytical projects and to develop their critical thinking
and logical reasoning skills to this end. Students are expected to work collaboratively and
the group work elements includes a video presentation on a simulated consulting project
that runs alongside the module
Outline syllabus
This is an indicative module outline only to give an indication of the sort of topics that may be covered. Actual sessions held may differ.
What is Operational Research?; Systems Thinking; Problem Structuring Methods; Causal Mapping; Managing An OR Project; Spreadsheet Modelling; Simulation Modelling; Soft Systems Methodology (SSM); Multi-Criteria Decision Analysis (MCDA)
Learning outcomes
By the end of the module, students should be able to:
- Understand the practical issues involved in undertaking OR / analytical projects in the real world
- Understand how to design and implement an OR / analytical project
- Understand how to apply soft and hard OR tools to real-world problems.
- Critically evaluate impact of real-world OR / analytical projects
- Argue for or against / justify a particular approach to an organizational problem
- Solve quantitative problems using spreadsheet models
- Think innovatively / creatively about organizational problems using PSMs
Indicative reading list
Rosenhead, J. and Mingers, J. (2001) Rational Analysis for a Problematic World Revisited: problem structuring methods for complexity, uncertainty and conflict (2nd ed.), Chichester: Wiley.
Jackson, M (2019) Critical Systems Thinking And The Management Of Complexity, Chichester: Wiley.
Hindle, G and Vidgen, R (2018) ‘Developing a business analytics methodology: A case study in the foodbank sector’, European Journal of Operational Research, 268 (3)
Pidd, M. (2003) Tools for Thinking: modelling in Management Science (2nd ed.), Chichester: Wiley.
Daellenbach, H.G. and McNickle D.C. (2005). Management Science: decision making through systems thinking, Basingstoke: Palgrave MacMillan.
Bryson, J., Ackermann, F., Eden, C. and Finn, C. (2004) Visible Thinking: unlocking causal mapping for practical business results, Chichester: Wiley.
Subject specific skills
Think critically, holistically and creatively about organizational situations; specific technical skills such as problem
structuring (eg. with rich picturing), quantitative modelling (eg. with spreadsheet modelling), and qualitative modelling (eg. with Soft Systems Methodology (SSM)).
Transferable skills
Individual working, group working, presentation skills, IT skills in visualisation software, project management, time
management, online collaboration, video production, inter-cultural working
Study time
Type | Required |
---|---|
Lectures | 10 sessions of 1 hour (7%) |
Seminars | 9 sessions of 1 hour (6%) |
Online learning (independent) | 10 sessions of 1 hour (7%) |
Private study | 42 hours (28%) |
Assessment | 79 hours (53%) |
Total | 150 hours |
Private study description
Private Study.
Costs
No further costs have been identified for this module.
You do not need to pass all assessment components to pass the module.
Assessment group D6
Weighting | Study time | Eligible for self-certification | |
---|---|---|---|
Groupwork Presentation | 20% | 16 hours | No |
Video |
|||
Online Examination | 80% | 63 hours | No |
~Platforms - AEP
|
Feedback on assessment
Feedback via My.WBS.
Courses
This module is Optional for:
-
UIBA-MN34 Law and Business Four Year (Qualifying Degree)
- Year 3 of MN34 Law and Business Studies Four Year (Qualifying Degree)
- Year 4 of MN34 Law and Business Studies Four Year (Qualifying Degree)
-
UECA-3 Undergraduate Economics 3 Year Variants
- Year 3 of L100 Economics
- Year 3 of L116 Economics and Industrial Organization
- Year 4 of UECA-4 Undergraduate Economics 4 Year Variants
- Year 3 of UIBA-MN31 Undergraduate Law and Business Studies
- Year 3 of UIBA-MN32 Undergraduate Law and Business Studies
- Year 5 of UIBA-MN37 Undergraduate Law and Business Studies (Qualifying Degree) with Intercalated Year
-
UIBA-MN35 Undergraduate Law and Business Studies with Intercalated Year (3+1)
- Year 3 of MN35 Law and Business Studies with Intercalated Year (3+1)
- Year 4 of MN35 Law and Business Studies with Intercalated Year (3+1)
-
USTA-G300 Undergraduate Master of Mathematics,Operational Research,Statistics and Economics
- Year 3 of G300 Mathematics, Operational Research, Statistics and Economics
- Year 4 of G300 Mathematics, Operational Research, Statistics and Economics
- Year 3 of UMAA-GL11 Undergraduate Mathematics and Economics
-
USTA-G1G3 Undergraduate Mathematics and Statistics (BSc MMathStat)
- Year 3 of G1G3 Mathematics and Statistics (BSc MMathStat)
- Year 4 of G1G3 Mathematics and Statistics (BSc MMathStat)
-
USTA-G1G4 Undergraduate Mathematics and Statistics (BSc MMathStat) (with Intercalated Year)
- Year 4 of G1G4 Mathematics and Statistics (BSc MMathStat) (with Intercalated Year)
- Year 5 of G1G4 Mathematics and Statistics (BSc MMathStat) (with Intercalated Year)
This module is Unusual option for:
- Year 3 of UPHA-V7ML Undergraduate Philosophy, Politics and Economics
This module is Option list A for:
- Year 3 of USTA-Y602 Undergraduate Mathematics,Operational Research,Statistics and Economics
- Year 4 of USTA-Y603 Undergraduate Mathematics,Operational Research,Statistics,Economics (with Intercalated Year)
This module is Option list B for:
- Year 4 of UCSA-G504 MEng Computer Science (with intercalated year)
- Year 3 of UCSA-G500 Undergraduate Computer Science
- Year 4 of UCSA-G502 Undergraduate Computer Science (with Intercalated Year)
-
UCSA-G503 Undergraduate Computer Science MEng
- Year 3 of G500 Computer Science
- Year 3 of G503 Computer Science MEng
- Year 3 of USTA-GG14 Undergraduate Mathematics and Statistics (BSc)
- Year 4 of USTA-GG17 Undergraduate Mathematics and Statistics (with Intercalated Year)
This module is Option list C for:
- Year 4 of USTA-G300 Undergraduate Master of Mathematics,Operational Research,Statistics and Economics
- Year 5 of USTA-G301 Undergraduate Master of Mathematics,Operational Research,Statistics and Economics (with Intercalated
This module is Option list D for:
- Year 3 of USTA-G300 Undergraduate Master of Mathematics,Operational Research,Statistics and Economics
-
USTA-G301 Undergraduate Master of Mathematics,Operational Research,Statistics and Economics (with Intercalated
- Year 3 of G30G Master of Maths, Op.Res, Stats & Economics (Operational Research and Statistics Stream) Int
- Year 4 of G30G Master of Maths, Op.Res, Stats & Economics (Operational Research and Statistics Stream) Int
This module is Option list G for:
- Year 2 of UPHA-V7ML Undergraduate Philosophy, Politics and Economics