Nabil Al-Najjar is the John L. and Helen Kellogg Professor of Managerial Economics and Decision Sciences.
Al-Najjar's research focuses on the development of learning-based models of decision making in markets, games and contracts. His papers have been published in top scholarly journals such the Journal of Economic Theory, Games and Economic Behavior, Journal of Political Economy, Econometrica, among others.
For his excellence in teaching, Al-Najjar has twice been the recipient of the school's Sidney J. Levy Award, in 1996-97 for his class in microeconomics, and 2006-07 for his class in competitive strategy. He has also received the Chairs' Core Teaching Award for his class in microeconomics, as well as several Certificate of Impact awards.
Al-Najjar received his PhD in Economics from the University of Minnesota. Prior to joining the Kellogg faculty in 1995, he was a faculty member at the University of Quebec in Montreal.
This course introduces fundamental concepts and modeling tools for decision making under uncertainty. The pedagogical approach combines business cases, conceptual frameworks of probability and risk analysis, and spreadsheet modeling of managerial decision problems. The course will also provide you with training in state-of-the-art Palisade's DecisionTools Suite to perform and interpret Monte Carlo simulation and decision tree models. Among the concepts discussed in depth are the value of information, option value, selection bias, herd behavior, risk aversion, and the "flaw of averages.'' The concepts and tools are illustrated using business applications in the areas of economics, strategy, operations, and finance.
For more information about the course content, recent syllabus, and TCEs, please click here.