Postgraduate Course: Performance Analytics with DEA: Advanced Concepts and Methods (CMSE11425)
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 builds on the concepts and methods taught in 'Performance Analytics with DEA: Basic Concepts and Method' to cover more advanced concepts and methods; namely, dynamic, network, and dynamic-network DEA models and their use in business applications. |
| Course description |
Academic Description:
This is an option course for the MSc in Business Analytics programme. It builds on the concepts and methods taught in 'Performance Analytics with DEA: Basic Concepts and Method' to cover more advanced concepts and methods; namely, dynamic, network, and dynamic-network DEA models and their use in business applications. These models and corresponding solution methods complement the static black-box analyses to provide the modelling frameworks and solution methods which are more appropriate for dynamic analyses, network analyses, and dynamic-network analyses to allow the analyst to take the time dynamics into account and to open the black-box of DEA to account for differences in performance of processes.
Outline Content:
1. Dynamic DEA models and their use in business applications
2. Network DEA models and their use in business applications
3. Dynamic-Network DEA models and their use in business applications
4. Practical issues and how to address them
Student Learning Experience:
Weekly lectures and hands-on programming exercises in Matlab and DEA solvers which enables students to implement the methodologies covered in class.
Tutorial/seminar hours represent the minimum total live hours - online or in-person - a student can expect to receive on this course. These hours may be delivered in tutorial/seminar, lecture, workshop or other interactive whole class or small group format. These live hours may be supplemented by pre-recorded lecture material for students to engage with asynchronously.
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Course Delivery Information
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| Academic year 2022/23, 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
(
Seminar/Tutorial Hours 10,
Programme Level Learning and Teaching Hours 2,
Directed Learning and Independent Learning Hours
88 )
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| Additional Information (Learning and Teaching) |
Seminar/Tutorial hrs are the min total live hrs, online or in-person, students can expect to receive
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| Assessment (Further Info) |
Written Exam
0 %,
Coursework
100 %,
Practical Exam
0 %
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| Additional Information (Assessment) |
100% coursework (individual) - assesses all course Learning Outcomes
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| Feedback |
Not entered |
| No Exam Information |
Learning Outcomes
On completion of this course, the student will be able to:
- Discuss the advanced concept and methods of performance measurement, evaluation, and management using the proper terminology
- Identify and properly state performance problems in different business settings
- Address performance problems within a DEA framework and choose the right advanced DEA models to devise solutions
- Formulate managerial guidelines in the area of performance management and make recommendations based on advanced DEA analyses
- Communicate performance problems and advanced solutions effectively and efficiently to a critical audience
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Reading List
Cooper WW, Seiford LM and Tone K. (2007) Data Envelopment Analysis: A Comprehensive Text with Models, Applications, References and DEA-Solver Software. Second Edition. Springer
Resource List:
https://eu01.alma.exlibrisgroup.com/leganto/public/44UOE_INST/lists/26181385060002466?auth=SAML |
Additional Information
| Graduate Attributes and Skills |
Numeracy and Big data
Knowledge integration and application
Analytical thinking
Written communication
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| Keywords | Not entered |
Contacts
| Course organiser | Prof Jamal Ouenniche
Tel: (0131 6)50 3792
Email: |
Course secretary | Ms Emily Davis
Tel: (0131 6)51 7112
Email: |
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