2024/2025 KAN-CMECV2001U Benchmarking
English Title | |
Benchmarking |
Course information |
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Language | English |
Course ECTS | 7.5 ECTS |
Type | Elective |
Level | Full Degree Master |
Duration | One Quarter |
Start time of the course | Fourth Quarter |
Timetable | Course schedule will be posted at calendar.cbs.dk |
Max. participants | 80 |
Study board |
Study Board for HA/cand.merc. i erhvervsøkonomi og matematik,
MSc
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Course coordinator | |
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Main academic disciplines | |
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Teaching methods | |
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Last updated on 25-01-2024 |
Relevant links |
Learning objectives | ||||||||||||||||||||||||||
Through this course the students should be able
to:
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Course prerequisites | ||||||||||||||||||||||||||
Quantitative skills & interests, knowledge of linear programming (and basic understanding of LP duality) | ||||||||||||||||||||||||||
Examination | ||||||||||||||||||||||||||
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Course content, structure and pedagogical approach | ||||||||||||||||||||||||||
Being able to quantify the efficiency of resource utilisation is important, both in the private sector, due to the intensity of competition, and in the public sector, where budget cuts and demands for efficiency improvments are common.
The approaches covered in the course are data driven, so the course is highly quantitative - but utilising linear programming based approaches, so it is mathematical rather than statistical in nature. |
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Description of the teaching methods | ||||||||||||||||||||||||||
Combination of lectures and exercises | ||||||||||||||||||||||||||
Feedback during the teaching period | ||||||||||||||||||||||||||
Oral feedback after examination.
Discussions in class. Collective oral feedback during lectures based on student answers in live quizzes (polling) Help with and discussions of projects along the way (e.g. feedback on proposed models). |
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Student workload | ||||||||||||||||||||||||||
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Expected literature | ||||||||||||||||||||||||||
Bogetoft and Otto: Benchmarking with DEA, SFA and R. Forlag: Springer-Verlag New York Inc.
Thanassoulis: Introduction to the Theory and Application of Data Envelopment Analysis: A foundation text with integrated software. Forlag: Springer-Verlag New York Inc.
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