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In a Management Science MSc. course, we use a computer-aided approach to conjugate multivariate analysis with decision support through optimization tools. The targeted decision support is based on a methodology that relies on specific problems built to promote learning. The optimality of discrete decisions on uncertain environment is aimed, they are applied computational tools onto multivariate analysis and optimization frameworks and these tools support the development of decision rules. Case problems specifically built are focused, as investments programming, financial risk treatment, or supply chain planning and distribution activities, on a Problem Based Learning (PBL) approach. This PBL methodology is embedded on a context where we simulate enterprise computer-aided activities and this immersive approach is encapsulated by a blended learning framework. Considering the intensive schedule that is defined to cope with the student-workers availability, this approach avoids some dislike related to long lectures of quantitative kind, which can reach eight hours in continuum.

USING A COMPUTER-AIDED PBL APPROACH IN THE DESIGN OF A COURSE IN ENTREPRENEURSHIP AND MANAGEMENT