This course will provide a calculus-based introduction to probability theory. Material covered will include fundamental axioms of probability, combinatorics, discrete and continuous random variables, multivariate distributions, expectation, and limit theorems, generally following Chapters 1-5 of the textbook. This course is a critical prerequisite for more advanced work in statistical theory and analysis.
Casella, G., and Berger, R. L. (2000). Statistical Inference 2nd edition. Duxbury.
Lectures:
Recitation:
Tuesday (Math 3071/6071-02), 2:00 pm - 3:15 pm, Norman Mayer Building 200B
Thursday (Math 3071/6071-01), 12:30 pm - 1:45 pm, Gibson Hall 325
Dr. Xiang Ji
Office: Gibson 401D
Email: xji4@tulane.edu
Office hours: Friday 9:45 am - 10:45 am with zoom link https://tulane.zoom.us/j/94358788207.
Borui Zhao
Office: Gibson 305C
Email: bzhao1@tulane.edu
Office hours: TBD
Special thanks to Dr. Michelle Lacey for sharing her course materials.