Vue d'ensemble
Sciences de la gestion : A realistic experience of analytical models which have been successfully applied in several areas of managerial decision-making like marketing, finance and IS. Emphasis on the formulation of problems, their solution approaches, limitations, underlying assumptions and practical use. Topics include: decision analysis, project management, simulation, linear and integer programming, sensitivity analysis.
Terms: Automne 2009
Instructors: Smith, Brian E (Fall)
- Prerequisite: MGCR 271
- Prerequisite (CE): MGCR 273
- Restriction: Not open to students who have taken MGCR 373
- Note: Continuing Education: CMA Requirement