- Winter 2023
Meeting Time:
MWF 8:30am - 9:20am
Location:
THO 101
SLN:
17446
Joint Sections:
STAT 394 A
Instructor:
Elizabeth Thompson
Syllabus Description:
Welcome to the MATH/STAT 394 A syllabus page.
MATH/STAT 394. is a first course in Probability Theory. It is the first of a three-course sequence MATH/STAT 394-5-6, but may be taken as a stand-alone introduction. There is a calculus pre-requisite, and calculus will be used in the class.
The course is not intended for students who have already successfully completed courses in probability-theory-based statistics or mathematics classes. It is intended as an introduction to the subject, for students not already familiar with the material.
Interested students may email me at eathomp@uw.edu -- please use or provide your UW email ID. I will not respond to unidentifiable gmail or other addresses.
Catalog Description:
Axiomatic definitions of probability; random variables; conditional probability and Bayes' theorem; expectations and variance; named distributions: binomial, geometric, Poisson, uniform (discrete and continuous), normal and exponential; normal and Poisson approximations to binomial. Transformations of a single random variable. Markov and Chebyshev's inequality. Weak law of large numbers for finite variance. Prerequisite: either a minimum grade of 2.0 in MATH 126, or a minimum grade of 2.0 in MATH 136. Offered: jointly with STAT 394; AWSpS.
GE Requirements:
Natural Sciences (NSc)
Credits:
3.0
Status:
Active
Last updated:
October 19, 2023 - 10:26pm