CS/SE 3341 Probability and Statistics in Computer Science (M. Baron) Fall 2010

CS/SE 3341 Probability and Statistics in Computer Science

MW 5³⁰ - 6⁴⁵ pm in ECSS 2.306

Fall 2011

The Final Exam was on Wednesday, December 14, 5:00-7:00 pm. SOLUTIONS.

The Student Evaluations are due on or before December 8.


Instructor:	Michael Baron
Office:	FO2.602-E
Phone:	972-UTD-6874
Office hours:	Monday and Wednesday 4:20 - 5:20 pm

Syllabus - schedule, grading policy, tips, contacts

eLearning - check your grades and join discussion groups

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 a lot, so you don't need to buy all of them. See the syllabus for their comparison and coverage.

Homework

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

Quizzes and Exams

Quiz 1, solutions
Quiz 2, solutions
Quiz 3, solutions
Quiz 4, solutions
Quiz 5, solutions
Midterm Exam, solutions
Quiz 6, solutions
Quiz 7, solutions
Quiz 8, solutions
Quiz 9, solutions
Quiz 10, solutions

FINAL EXAM SOLUTIONS
GRADES ARE HERE.
Learn how to manage exam stress.

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" (updated on Feb 28)
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"
Class notes on 11/23/11

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 mbaron@utdallas.edu