Spring 2023
MATH 106 001 - LEC 001
Mathematical Probability Theory
Steven N Evans
Class #:30854
Units: 4
Instruction Mode:
In-Person Instruction
Offered through
Mathematics
Current Enrollment
Total Open Seats:
9
Enrolled: 27
Waitlisted: 0
Capacity: 36
Waitlist Max: 5
No Reserved Seats
Hours & Workload
3 hours of instructor presentation of course materials per week, and 9 hours of outside work hours per week.
Final Exam
TUE, MAY 9TH
03:00 pm - 06:00 pm
Cory 289
Other classes by Steven N Evans
+ 1 Independent Study
Course Catalog Description
A rigorous development of the basics of modern probability theory based on a self-contained treatment of measure theory. The topics covered include: probability spaces; random variables; expectation; convergence of random variables and expectations; laws of large numbers; zero-one laws; convergence in distribution and the central limit theorem; Markov chains; random walks; the Poisson process; and discrete-parameter martingales.
Rules & Requirements
Repeat Rules
Course is not repeatable for credit.
Reserved Seats
Current Enrollment
No Reserved Seats
Textbooks & Materials
See class syllabus or https://calstudentstore.berkeley.edu/textbooks for the most current information.
Guide to Open, Free, & Affordable Course Materials
Associated Sections
None