Current and Recent Courses
ORI 397: Systems Modeling (Spring 2017, 2018) Syllabus
Many of the most pressing policy challenges of our time transcend traditional disciplinary boundaries and necessitate the use of systems models to analyze possible solutions. This course will show how methodological approaches from operations research and industrial engineering can be applied to construct such models. Particular emphasis will be devoted to models that combine concepts from engineering, economics, natural sciences, and policy. The featured models will showcase a broad range of methodological approaches, such as optimization, simulation, dynamic programming, decision analysis, stochastic processes, and dynamical systems. Example applications will be drawn from fields including energy and climate change, health policy, transportation, and national security. More generally, the course will train students to build mathematical models that represent complex real-world problems.
ME 353: Engineering Finance (Fall 2017) Syllabus
Evaluating the financial impact of engineering decisions. Comparing alternatives with cash flow analysis considering rate of return, inflation, and taxes, with emphasis on analyzing risk. Managing complex projects with activity scheduling and resource allocation considering cash flows. Methods include probabilistic analysis and simulation.
ORI 390R.1: Applied Probability (Fall 2016) Syllabus
Concepts of probability and mathematical statistics; application of these analytical methods to planning and evaluation of research and industrial experimentation. Basic probability theory, combinatorial analysis of random phenomena, conditional probability and independence, parametric families of distributions, expectation, distribution of functions of random variables, limit theorems.