CS/SE 3341 Probability and Statistics in Computer Science

MW 530 - 645 pm in room GR 4.428

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

Course Syllabus - schedule, office hours, tips, policies

eLearning - check your grades and join discussion groups

Homework - WeBWork on campus; WeBWork off campus. See WeBWork instructions.


Homework

Practice Homework 1
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.

Quizzes and Exams

Quiz 1, solutions
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

FINAL EXAM SOLUTIONS


The Final Exam is on December 18, 5:00 - 7:00 pm. Here is a PRACTICE FINAL
Ready for more practice? Here are additional exercises.

The final exam covers topics: Notice that the 2nd part of the course is heavily based on the 1st part. So, practically, the exam is cumulative.

Here is the Cheat Sheet for the Final Exam which will be attached to your exams along with the tables of distributions. No other material is allowed on the exam.


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)
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

    Recommended texts

    These texts overlap, so you don't need to buy all of them. When choosing the textbook, notice that... All four textbooks are written as the first course in Probability and Statistics and assume your knowledge and working skills of Calculus I.