Dr. Smith is currently teaching PPD 557: Operations Research and Modeling. The syllabus can be found at the USC schedule of classes page: https://classes.usc.edu/
At USC, Dr. Smith has taught Operations Research and Decision Analysis in the graduate programs of the Price School of Public Policy, the Industrial and Systems Engineering Department in the Viterbi School of Engineering, the Marshall School of Business and the Department of Mathematics. He has also taught for the UCLA Business and Engineering Program, California Institute of Technology, and the Claremont Graduate University in the Peter Drucker Executive Management Program.
At the graduate level: Decision Analysis, Value and Decision Theory, Engineering Management Decisions and Statistics, Operations Research and Modeling, Decision Analysis, Quantitative R&D Planning, Operations Management and Analytic Decision Models, C Programming, Systems Analysis, Probability Concepts in Engineering, Engineering Statistics, Probability and Statistics for Business Majors, Introduction to Operations Research: Stochastic Models, Business Statistics, and Honors Statistics.
Dr. Smith has also developed decision analysis methodologies and tools for the analysis of advanced space missions and technologies for NASA at the Jet Propulsion Laboratory. He has authored over 200 technical papers spanning a wide variety of technological disciplines. Dr. Smith has been a principal investigator on Computational Approaches to the R&D Portfolio Selection problem and has developed algorithms and tools for technology evaluation, technology portfolio management, and automated resource allocation systems. He has extensive experience in decision support systems and software development applied to technology management.
Research Interests:
Some honors and awards:
Education:
B.S., M.S., Systems Engineering, University of Arizona; M.A., Mathematical Economics, University of Southern California; Ph.D., Business Administration, University of Southern California.