Web Sites for Teaching Undergraduate Operations Research and/or Stochastic Processes

INFORMS Case Studies ^{[NEW ... Added 7-16-00]}

These could be useful to discuss in the classroom.

Introduction to Monte Carlo Methods, from the Computational Science Education Project (CSEP).

These are introductory notes accessible in html + graphics, with postscript files available. After some introductions, key topics include: Sampling, Estimation, and Variance Reduction.

Markov system simulation, by Stefan Waner and Steven R. Costenoble at Hofstra University.

This uses Javascript for a 3-state process.

OR-Notes, by J.E. Beasley at Imperial College.

This has modules in some topics, such as Markov processes, queueing theory, and simulation, plus a general intro to OR.

Systems Simulation: The Shortest Distance from Learning to Applications, by Hossein Arsham at University of Baltimore.

This has a collection of succinct modules, starting with Modeling & Simulation. There are also lists of links to other sites.

Traffic Simulation, by Phillip Spencer at University of Toronto.

This gives a simulation of traffic with you (the student) the traffic engineer. The goal is to "keep the traffic moving," and best light timings are sought. The issue of feasibility is also addressed, and these are part of a simulation model. The author provides a description of the mathematical model, and lets you run the simulation. There are prepared scenarios, but you can customize the simulation. Results can be observed graphically, but the author also provides a text version.

Virtual Laboratories in Probability and Statistics, by Kyle Siegrist at University of Alabama in Huntsville.

This contains interactive simulations with which the student can experiment.

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