Teaching

• IE2003 - Engineering Management. This master level course focuses on identifying, understanding and resolving management challenges by applying analytical methods wihtin the decision process framework. Topics include: Project Scheduling and Valuation; Montecarlo Methods; Decision under uncertainty; Discrete choice models; Game theory; Revenue management.
• IE2005 - Probability and Statistics for Engineers. This master level course reviews fundamental elemets of probability and statistics. Topics include: basic probability concepts, random variables, common discrete and continuous probability distributions, expected values, central limit theorem, distributions derived from the normal distribution, estimation of parameters and fitting of probability distributions, testing hypothesis and assessing goodness of tests.
• IE2072 - Probability. This is an advanced graduate course in applied probability intended (primarily) for Ph.D. students in engineering, operations research, management science and related mathematical sciences. The primary objective of the course is to equip students with the analytical tools needed to model and analyze stochastic phenomena in a variety of contexts.