MW 5

Instructor: | Michael Baron | Teaching Assistant: | Marzana Chowdhury | Teaching Assistant: | Jiayi Wu | ||

Office: | FO2.602-E | Office: | FO1.210 | Office: | FO1.210 | ||

Phone: | 972-UTD-6874 | Office hours: | Monday 12:00-2:00 pm | Office hours: | Tuesday 3:30-5:30 pm | ||

Office hours: | MW 4:15-5:15 pm |

Practice Homework 2

Practice Homework 3

Practice Homework 4

Practice Homework 5

Practice Homework 6

Practice Homework 7

Practice Homework 8

Practice Homework 9

Practice Homework 10

Practice Homework 11

Practice Homework 12

These sets of training problems are also available on WeBWork. The graded problems appear on WeBWork only.

Quiz 2, solutions

Quiz 3, solutions

Quiz 4, solutions

Midterm Exam, solutions

Quiz 5, solutions

Quiz 6, solutions

Quiz 7, solutions

Quiz 8, solutions

Quiz 9, solutions

Quiz 10, solutions

Ready for more practice? Here are additional exercises.

The final exam covers topics:

- - Stochastic processes; counting processes - Binomial, Poisson processes
- - Markov chains - transition probabilities, steady-state distribution
- - Queuing processes - Bernoulli, M/M/1
- - Statistics: parameter estimation, confidence intervals, hypothesis testing

Here is the

GRADES ARE HERE.

Learn how to manage exam stress.

Notes 1 "Introduction. Probability rules."

Notes 2 "Equally likely outcomes. Conditional probability"

Notes 3 "Random variables and distributions"

Notes 4 "Discrete distributions"

Notes 5 "Continuous distributions"

Notes 6 "Important continuous distributions" (updated on Feb 28)

Notes 7 "Stochastic processes. Bernoulli, Binomial, Poisson processes."

Notes 8 "Markov chains"

Notes 9 "Single-server queuing systems"

Notes 10 "Statistical inference"

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

- [KT]
Probability and Statistics with Reliability, Queuing, and Computer Science Applications,

by K. Trivedi, John Wiley and Sons, New York, second edition (2002), ISBN 0471333417 - [MB]
Probability and Statistics for Computer Scientists,

by M. Baron, Chapman & Hall/CRC Press (2007) or second edition (2013), ISBN 1584886412 or 1439875901 - [HK]
Concepts in Probability and Stochastic Modeling,

by J. J. Higgins and S. Keller-McNulty, Wadsworth Publishing House (1995), ISBN 0-534-23136-5 - [JD]
Probability and Statistics for Engineering and the Sciences, seventh edition (2008) or
eighth edition (2011),

by J. L. Devore, Duxbury, ISBN 0495557447 or 0538733527

- [KT] covers all the topics of our course and additional material on Markov chains, queuing theory, and regression. It is written at a slightly higher mathematical level and does not contain too many exercises. It has been recently used for this course.
- [MB] covers all the topics of our course at the junior/senior level and has additional material on computer simulations and Statistics. It has many examples and exercises in each chapter.
- [HK] covers all the topics except Statistics at the junior/senior level. Has some good examples and exercises in each chapter. It has been used for this course in the past.
- [JD] covers all the topics except Stochastic processes, Markov chains, and queuing theory at the
junior/senior level. It has many examples and exercises in each chapter and contains additional
material on statistical inference, regression, and analysis of variance.