This page is a preliminary syllabus. The plan is to use NYU LMS (Brightspace) for all the courserelated communication.
Course:  MATHUA.233 Theory of Probability, Fall 2021  
Time:  Monday, Wednesday  
Room:  Silver Center, Room 411 (this is the latest info; another room was posted here at some point)  
Instructor:  Professor Yuri Bakhtin, contact info  
Office hours:  Tuesday 2  3 PM, Wednesday 3:30  4:30PM, Courant Institute /Warren Weaver Hall, office 713  
Recitation:  TBA  
Course description: 
An introduction to the mathematical treatment of random phenomena occurring in the natural, physical, and social sciences. Axioms of mathematical probability, combinatorial analysis, binomial distribution, Poisson and normal approximation, random variables and probability distributions, generating functions, Markov chains, applications.  
Textbook:  A first course in probability, by Sheldon Ross.  
Prerequisites:  This course is intended for math majors and other students with a strong interest in mathematics. It requires fluency in calculus topics such as series, derivatives, (multivariable) integration. It makes sense to look through the textbook in advance to know what to expect.  
Homework:  Problem sets will be posted online. Solutions are usually to be submitted for grading every week. Late homework will not be accepted.  
Exams:  Two midterm exams and the final exam are inclass and closed book.  
Grading:  Two lowest weekly homework scores will be dropped. The total homework score counts for 30% of the course grade. Each midterm counts for 15% of the course grade. The final exam counts for 40% of the course grade.  
Tentative schedule: 
The semester begins on Thursday Sep 2, so no classes in the first week
