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DEGREE REGULATIONS & PROGRAMMES OF STUDY 2022/2023

Timetable information in the Course Catalogue may be subject to change.

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DRPS : Course Catalogue : Business School : Common Courses (Management School)

Postgraduate Course: Analytics of Decision Making under Multiple Criteria (CMSE11430)

Course Outline
SchoolBusiness School CollegeCollege of Arts, Humanities and Social Sciences
Credit level (Normal year taken)SCQF Level 11 (Postgraduate) AvailabilityNot available to visiting students
SCQF Credits10 ECTS Credits5
SummaryThe course will provide students with the foundations of multi-criteria decision making (MCDM).
Course description Academic Description
In practice Multi-Criteria Decision Making (MCDM) methods are very popular in addressing complex problems involving multiple and typically conflicting criteria as well as several stakeholders or decision makers with different preferences with respect to the evaluation criteria. This course aims at training students in the field of MCDM with emphasis on rating, ranking and classification problems and methods with applications in business.

Outline Content: This course consists of 5 lectures.
(Lecture 1) Basic MCDM concepts and terminology along with a general classification of MCDM problems
(Lecture 2) Rating problems, their solution methods and the design of multi-criteria indexes, and their use in business applications
(Lecture 3) Ranking problems, their solution methods, and their use in business applications
(Lecture 4) Classification problems, their solution methods, and their use in business applications
(Lecture 5) Practical issues and how to address them

Student Learning Experience
Students are expected to learn basic concepts and theories from 5 three-hour lectures for 5 weeks. In ten hours lab sessions, they will learn how to use MCDM using techniques discussed in the lectures.

Entry Requirements (not applicable to Visiting Students)
Pre-requisites Co-requisites
Prohibited Combinations Other requirements None
Course Delivery Information
Not being delivered
Learning Outcomes
On completion of this course, the student will be able to:
  1. Discuss the concept and methods of MCDM using the proper terminology
  2. Identify and properly state MCDM problems in different business settings
  3. Address MCDM problems and choose the right methods to devise solutions
  4. Use MCDM solutions to formulate managerial guidelines and make recommendations
  5. Communicate MCDM problems and solutions effectively and efficiently to a critical audience
Reading List
Ouenniche J. Analytics of Decision Making under Multiple Criteria
Additional Information
Graduate Attributes and Skills Numeracy and Big data
Knowledge integration and application
Analytical thinking
Written communication
KeywordsNot entered
Contacts
Course organiserProf Jamal Ouenniche
Tel: (0131 6)50 3792
Email:
Course secretaryMiss Lauren Millson
Tel: (0131 6)51 3013
Email:
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