CS/SE 3341 Probability and Statistics in Computer Science

 Instructor: Michael Baron Office: FO2.602-E Phone: 972-UTD-6874

#### MuchLearning - homework assignments. Follow MuchLearning instructions.

Tables of Distributions

#### Recommended texts

• Probability and Statistics with Reliability, Queuing, and Computer Science Applications,
by K. Trivedi, John Wiley and Sons, New York, second edition (2002), ISBN 0471333417
• Probability and Statistics for Computer Scientists,
by M. Baron, Chapman & Hall/CRC Press (2007), ISBN 1584886412
• Concepts in Probability and Stochastic Modeling,
by J. J. Higgins and S. Keller-McNulty, Wadsworth Publishing House (1995), ISBN 0-534-23136-5
• Probability and Statistics for Engineering and the Sciences, seventh edition (2008) or eighth edition (2011),
by J. L. Devore, Duxbury, ISBN 0495557447 or 0538733527
These texts overlap, so you don't need to buy all of them. See the course syllabus for their comparison and coverage.

## Homework

Homework is assigned on MuchLearning. Instructions for MuchLearning are here.

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## Some Lecture Notes

(You may need Acrobat Reader to see and print these notes)

Notes 1 "Introduction. Probability rules."
Notes 2 "Equally likely outcomes. Conditional probability"
Notes 3 "Random variables and distributions"
Notes 4 "Discrete distributions"
Tables of Distributions
Notes 5 "Continuous distributions"
Notes 6 "Important continuous distributions"
Table of Normal distribution (without typos)
Notes 7 "Stochastic processes. Bernoulli, Binomial, Poisson processes."
Notes 8 "Markov chains"
Notes 9 "Single-server queuing systems"
Notes 10 "Statistical inference"

## Matlab corner

• MATLAB programs used in our classroom demonstrations:
```Markov chain for sunny and cloudy days
Markov chain for the game of ladder
Poisson process of arrivals
Bernoulli and Binomial processes
Brownian motion
Central Limit Theorem```
• A Matlab tutorial
Any questions/comments/suggestions? Write to [email protected]