ORIE3510
Introduction to Engineering Stochastic Processes
Spring 2010
Exam Preparedness
•
Make sure that you have all ’memorizable’ facts memorized. That is, all the facts about
stationary/limiting distributions, properties of exponential distribution, Poisson processes,
CTMCs and so forth. There are a lot of these facts, but knowing them can help you quite a
bit in the test. Just start at the beginning, and make a list.
•
Pinpoint the most common computational tools/tricks that we’ve used throughout the course
to solve problems. For example, we rarely know much about unconditional probabilities so we
will start with conditioning on something and then proceed with our calculations working with
conditional probabilities (remember the law of total probability). Another example might be
how you can manipulate the state space of Markov chains to calculate absorption probabilities
or expected number of visits to certain states. In the continuous case, be aware of all the
handy properties of the Exponential distribution, as these can speed up your calculations
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 Spring '09
 RESNIK
 Probability theory, Exponential distribution, pj, DTMC, Engineering Stochastic Processes, common computational tools/tricks

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