Syllabus for MAT 330/681- Probability

MAT 330: Probability.

4 hours, 4 credits. Basic probability theory. Combinatorial problems, distributions, expectation, law of large numbers and central limit theorem, Bernoulli processes, and Markov chains. Other topics from probability and statistics. PREREQ: MAT 176.

MAT 681: Probability.

4 hours, 4 credits. Probability models, combinatorial problems, random variables, expectation and variance, binomial, normal and Poisson variables, law of large numbers, central-limit theorem, markov chains, and selected additional topics. PREREQ: Two semesters of calculus.


Location: Gi 225 MW 11-12:40

Instructor: Robert Schneider

Contact Info:


Final:The Final Exam will be given during Finals Week in our classroom on Wed Dec 17 from 11-1

Some review sheets for final. The exact material will depend on how far I get. I may modify these sheets later.


Grading Policy:

Course Objectives:

Materials, Resources and Accommodating Disabilities:

Course Calendar:

We will try to cover the material in Chapters 1-5 of the book at a speed appropriate for maximal understanding and retention. Continuous distributions will be introduced early and I may deviate or skip around in book to cover these. I may introduce some topics from chap 6 and 7 if time permits. Graduate students will be required to read these chapters and contact me for help. I will not accept homework late. Last years syllabus is in red. I will do things differently than last Fall but leave last falls detailed syllabus as a guide.


Department of Mathematics and Computer Science, Lehman College, City University of New York