Duration
35h Th
Number of credits
| Executive Master in industrial Management (non organisé en 2018-2019) | 6 crédits |
Lecturer
Language(s) of instruction
English language
Schedule
Units courses prerequisite and corequisite
Prerequisite or corequisite units are presented within each program
Learning unit contents
Linear programming, simplex methods, sensitivy analysis, duality Data mining Queueing therory basic features, arrival and service processes, M/M/c models Simulation basic principles, random generators, analysis of the results
Learning outcomes of the learning unit
Acquire some familiarity with the mathematical modelling approach to decision making and with models and methods used in operation research ; Become able to reconstruct and to interpret output models ; Become able to identify situation where these models can be applied successfully.
Prerequisite knowledge and skills
Mathematics (linear algebra, matrix algebra), probability theory and statistics (concept of random variable, classical distributions, expectation, variance, etc.).
Planned learning activities and teaching methods
A1. Lectures. A1. Readings (lecture notes and case studies). A2. Numerical exercises
Mode of delivery (face-to-face ; distance-learning)
Face to face.
Recommended or required readings
Operations Research, An introduction Hamdy A. Taha Ninth Edition Pearson
Assessment methods and criteria
On-going evaluation, case study, written exam 100%
Work placement(s)
Organizational remarks
Contacts
Instructor: Prof. I. PAYS HEC-Management School Email : isabelle.pays@ulg.ac.be