CS/SE 3341 Probability and Statistics in Computer Science

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

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Tables of Distributions

Recommended texts

These texts overlap, so you don't need to buy all of them. See the course syllabus for their comparison and coverage.


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Some Lecture Notes

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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]