This half-term (six-week) 1.5-credit course offers a brief introduction to computer-based models and their use in structuring information and supporting managerial decisions. It conveys an appreciation for the extraordinary scale and complexity of the information needed to manage effectively and demonstrates how decision models can serve to organize this information and provide tools for analyzing and improving the decision process. Specific topics include linear programming, multiperiod planning models under uncertainty, nonlinear programs and Monte Carlo simulation.

Mark Broadie

Carson Family Professor of Business

Professor Broadie currently teaches the elective courses Security Pricing: Models and Computation, Computational Finance, and Programming for Business Research. He is an Academic Advisory Board Member for the Program for Financial Studies. His research interests include the pricing of derivative securities, risk management and, more generally, quantitative methods for decision-making under uncertainty. Broadie is the financial engineering area editor of Operations Research

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