Postgraduate Course: Supply Chain Analytics with Games (CMSE11421)
Course Outline
| School | Business School |
College | College of Arts, Humanities and Social Sciences |
| Credit level (Normal year taken) | SCQF Level 11 (Postgraduate) |
Availability | Not available to visiting students |
| SCQF Credits | 10 |
ECTS Credits | 5 |
| Summary | This course applies game-theoretic techniques to supply chain problems. |
| Course description |
Academic Description
The objective of this course is to enhance students' understanding of how a game-theoretic modelling and analysis framework could generate insights and provide solutions to complex supply chain games involving a variety of supply chain players, and to train students to critically assess game theory based analytical models and techniques and choose the appropriate one(s) to address a specific decision problem in a supply chain. The course provides opportunities for students to learn from each other, from practitioners in the field, and from the latest theoretical and applied research in the field.
Outline Content:
(Lecture 1) Bilateral Bargaining
(Lecture 2) Supply Chains under Uncertainty
(Lecture 3) Supply Chains with Asymmetric Information
(Lecture 4) Multilateral Bargaining
(Lecture 5) Supply Chain Networks
Student Learning Experience
Students will learn basic concepts from 5 two-hour lectures for 5 weeks. In Week 8 and Week 10, they will be able to learn how to apply the basic concepts and solve the problems from the additional tutorial sessions. Problem solving skills will be developed through completing their assignments.
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Entry Requirements (not applicable to Visiting Students)
| Pre-requisites |
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Co-requisites | Students MUST also take:
Game Theory for Business Analytics (CMSE11422)
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| Prohibited Combinations | |
Other requirements | For MSc Business Analytics students, or by permission of course organiser. Please contact the course secretary. |
Course Delivery Information
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| Academic year 2019/20, Not available to visiting students (SS1)
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Quota: None |
| Course Start |
Block 4 (Sem 2) |
Timetable |
Timetable |
| Learning and Teaching activities (Further Info) |
Total Hours:
100
(
Lecture Hours 10,
Seminar/Tutorial Hours 2,
Summative Assessment Hours 2,
Programme Level Learning and Teaching Hours 2,
Directed Learning and Independent Learning Hours
84 )
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| Assessment (Further Info) |
Written Exam
70 %,
Coursework
30 %,
Practical Exam
0 %
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| Additional Information (Assessment) |
Individual Written Exam (70% weighting)
Assesses Learning Outcomes 1, 2 and 3.
Individual Assignment (Essay) (30% weighting)
Assesses Learning Outcomes 3, 4 and 5.
Students will choose one of the models from the lectures or the additional reading list and provide extensions, numerical examples, comparative statics, simulations, or applications to real/hypothetical situations. Some sample topics will be suggested during lectures.
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| Feedback |
Feedback on formative assessed work will be provided in line the Taught Assessment Regulation turnaround period, or in time to be of use in subsequent assessments within the course, whichever is sooner. Summative marks will be returned on a published timetable, which will be communicated to students during semester. All assessments will be marked according to the University Common Marking Scheme. |
| Exam Information |
| Exam Diet |
Paper Name |
Hours & Minutes |
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| Main Exam Diet S2 (April/May) | CM11349 Supply Chain Analytics with Games | 2:00 | |
Learning Outcomes
On completion of this course, the student will be able to:
- Discuss the concepts and methods of supply chain game analytics using the proper terminology
- Identify strategic situations in which different agents have conflicting incentives and properly describe the related supply chain decision problems, model them as games, choose the right method of analysis and devise a solution
- Interpret solutions, formulate managerial guidelines and make recommendations
- Identify the rationale of the assumptions behind game-theoretic models, describe how such assumptions play in a specific model, and critically evaluate the appropriateness of the assumptions in practical applications
- Communicate solutions effectively and efficiently to a critical audience of non-specialists
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Additional Information
| Graduate Attributes and Skills |
On completion of the course students should be able to apply the game-theoretic knowledge and understanding into various operations and supply chain problems. |
| Keywords | Not entered |
Contacts
| Course organiser | Dr Joosung Lee
Tel: (0131 6)51 1375
Email: Joosung.Lee@ed.ac.uk |
Course secretary | Miss Lauren Millson
Tel: (0131 6)51 3013
Email: Lauren.Millson@ed.ac.uk |
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