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Engineering, Mathematics and Physical Sciences Intranet
ENGM027 - Engineering Management Science (2022)
MODULE TITLE | Engineering Management Science | CREDIT VALUE | 30 |
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MODULE CODE | ENGM027 | MODULE CONVENER | Dr Martino Luis (Coordinator), Dr Shuya Zhong, Prof Voicu Ion Sucala |
DURATION: TERM | 1 | 2 | 3 |
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DURATION: WEEKS | 11 | 11 |
Number of Students Taking Module (anticipated) | 150 |
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DESCRIPTION - summary of the module content
This module aims to introduce the student to the main principles governing the engineering profession, to the ethical issues informed by the professional code of conduct, and to the importance of adopting an inclusive approach and of supporting equality, diversity and inclusion.
The module will develop your skills in industrial engineering and management science, by applying advanced analytical methods to help you make optimal decisions. It will also enhance your ability of the use of mathematical modelling technologies and computer simulation to tackle modern project management, operations and supply chain management problems. The knowledge you gain on this module will help you to understand and manage a range of associated courses, especially in manufacturing and supply chain management areas.
Pre-requisite and co-requisite modules: NO
The module is suitable for non-specialist students.
The module is recommended for interdisciplinary pathways
AIMS - intentions of the module
This module aims to deliver an in-depth understanding of modern project management, risk management, management science, and operations and supply chain modelling concepts, methods, and techniques including: planning techniques, operations research, industrial/service systems modelling and simulation, and advanced topics in management science and Industry 4.0 technologies such as IoT and digital twins of manufacturing processes and supply chain.
The students will be trained to use specific software tools – Excel Solver, MS Project, Tecnomatics and AnyLogic. They will also have hands-on experience within Exeter Digital Enterprise System lab, using the Industry 4.0 demonstrator, IoT gateway and associated software.
INTENDED LEARNING OUTCOMES (ILOs) (see assessment section below for how ILOs will be assessed)
This is a constituent module of one or more degree programmes which are accredited by a professional engineering institution under licence from the Engineering Council. The learning outcomes for this module have been mapped to the output standards required for an accredited programme, as listed in the current version of the Engineering Council’s ‘Accreditation of Higher Education Programmes’ document (AHEP-V4).
This module maps to learning outcomes: M1, M2, M3, M4, M5, M6, M7, M8, M9, M10, M11, M12, M13, M14, M15, M16, M17, M18
A full list of the referenced outcomes is provided online: http://intranet.exeter.ac.uk/emps/subjects/engineering/accreditation/
The AHEP document can be viewed in full on the Engineering Council’s website, at http://www.engc.org.uk/ahep
On successful completion of this module, you should be able to:
Module Specific Skills and Knowledge:
Select and apply modern management science concepts, theories and mathematical models to concrete industrial situations;
Understand modern methods, tools and techniques of project and risk management;
Select and apply modern project management and risk management concepts, theories, techniques and tools to concrete industrial situations and to solve practical problems;
Discipline Specific Skills and Knowledge:
Demonstrate understanding of the engineering profession requirements, including ethical principles, inclusivity and sustainability;
Apply generic engineering management techniques and skills to different industrial/commercial situations;
Demonstrate advanced problem-solving skills and adapt such skills to solving increasing complex industrial problems;
Analyse business needs and identify suitable approaches to meet project requirements;
Appreciate industrial situations that can be improved through simulation, and construct simulation models to analyse and solve the problems;
Personal and Key Transferable/ Employment Skills and Knowledge:
Demonstrate project management skills in terms of setting targets, planning and monitoring the progress in completing the assignments;
Illustrate team work skills, initiative and responsibility through group work and problem solving;
Demonstrate skills in making presentations and communicate work to technical and non-technical audiences;
Exhibit advanced independent learning skills.
MSc AHEP3 ILOs covered on this module:
SM1fl-SM3fl, EA1fl, EA3fl, D1fl-D3fl, ET1fl-ET4fl, ET6fl, EP2fl-EP4fl, G1fl-G4fl
SYLLABUS PLAN - summary of the structure and academic content of the module
- Introduction to engineering profession, professional code of conduct, ethics, inclusivity and sustainability
- Introduction in project management, history of project management;
- Project management functions, processes and phases, Critical path analysis;
- Introduction to risk management, including security risks;
- Operational research history, context, definitions, problems and case studies;
- Linear programming: graphical modelling and solution; what if analysis in Linear Programming models;
- Other mathematical modelling methods suitable for manufacturing and supply chain processes ;
- Overview of applications and characterisation of computer simulation techniques, construction of simulation models;
- Simulation with Tecnomatics and/or AnyLogic software;
- Advanced topics in management science and Industry 4.0 technologies.
LEARNING AND TEACHING
LEARNING ACTIVITIES AND TEACHING METHODS (given in hours of study time)
Scheduled Learning & Teaching Activities | 66.00 | Guided Independent Study | 234.00 | Placement / Study Abroad |
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DETAILS OF LEARNING ACTIVITIES AND TEACHING METHODS
Category | Hours of study time | Description |
Scheduled learning & teaching activities | 22 | Lectures |
Scheduled learning & teaching activities | 22 | Computer-based practicals |
Scheduled learning & teaching activities | 22 | Laboratory sessions |
Guided independent study | 234 | Lecture & assessment preparation; group project work, wider reading, individual study |
ASSESSMENT
FORMATIVE ASSESSMENT - for feedback and development purposes; does not count towards module grade
None.
SUMMATIVE ASSESSMENT (% of credit)
Coursework | 85 | Written Exams | 0 | Practical Exams | 15 |
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DETAILS OF SUMMATIVE ASSESSMENT
Form of Assessment | % of Credit | Size of Assessment (e.g. duration/length) | ILOs Assessed | Feedback Method |
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Engineering profession e-quiz | 15 | One hour | M7, M8, M11 | Automatic feedback |
Project planning e-quiz | 15 | One hour | M2, M3, M9, M15 | Automatic feedback |
Linear programming e-quiz | 15 | One hour | M1, M2, M3 | Automatic feedback |
Modelling and simulation group project | 40 | 10 pages | M1, M2, M3, M4, M5, M6, M7, M12, M13, M14, M15, M16, M17, M18 | Written feedback |
Engineering Competence Structured Assessment - interview | 15 | 15 minutes | M5, M6, M16, M17 | Oral feedback |
DETAILS OF RE-ASSESSMENT (where required by referral or deferral)
Original Form of Assessment | Form of Re-assessment | ILOs Re-assessed | Time Scale for Re-assessment |
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All of above | Written exam | All | Ref - Def period |
RE-ASSESSMENT NOTES
Re-assessed by written exam (referral or deferral).
For referrals a mark of 50% being awarded if the examination is passed. For deferrals, candidates will be awarded the full examination mark.
RESOURCES
INDICATIVE LEARNING RESOURCES - The following list is offered as an indication of the type & level of
information that you are expected to consult. Further guidance will be provided by the Module Convener
information that you are expected to consult. Further guidance will be provided by the Module Convener
Reading list for this module:
Type | Author | Title | Edition | Publisher | Year | ISBN | Search |
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Set | Taha, H,A | Operations Research: An introduction | 8th | Prentice Hall | 2011 | 978-0131360143 | [Library] |
Set | Fishman, G S | Principles of Discrete Event Simulation | John Wiley & Sons | 1979 | 000-0-471-04395-8 | [Library] | |
Set | David R. Anderson and Dennis J. Sweeney | An Introduction to Management Science: Quantitative Approaches to Decision Making | 1st | Cengage Learning | 2008 | 13: 978-184480595 | [Library] |
Set | Project Management Institute | A Guide to the Project Management Body of Knowledge (PMBOK Guide) | 5th | Project Management Institute Inc. | 2013 | 9781935589679 | [Library] |
Set | H. Maylor | Project Management | 3rd | Prentice Hall | 2005 | 0273704311 | [Library] |
Set | J. R. Meredith | Project Management: A Managerial Approach | John Wiley & Sons | 2000 | 0471298298 | [Library] | |
Set | P. W.G. Morris, J. K. Pinto and J. Söderlund | The Oxford Handbook of Project Management | Oxford University Press | 2011 | 9780199563142 | [Library] |
CREDIT VALUE | 30 | ECTS VALUE | |
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PRE-REQUISITE MODULES | None |
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CO-REQUISITE MODULES | None |
NQF LEVEL (FHEQ) | AVAILABLE AS DISTANCE LEARNING | No | |
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ORIGIN DATE | Friday 03 April 2020 | LAST REVISION DATE | Wednesday 26 January 2022 |
KEY WORDS SEARCH | None Defined |
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