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:
Thursday (Math 3071/6071-01), 12:30 pm - 1:45 pm, Gibson Hall 126A
Tuesday (Math 3071/6071-02), 2:00 pm - 3:15 pm, Norman Mayer Building 118
Dr. Xiang Ji
Office: Gibson 401D
Email: xji4@tulane.edu
Office hours: Friday 10 am - 12 pm, 1 pm - 2 pm and 3 pm - 4 pm.
Ketan Kalgi
Office: Math Center
Email: kkalgi@tulane.edu
Office hours: 3:30 pm - 5:30 pm on Tuesday
Special thanks to Dr. Michelle Lacey for sharing her course materials.