MATH 340
Probability Theory Data Sci · 4 credits · Spring 2027
Requirements
Prereq.: MATH 241. Coreq.: MATH 201 and 231.
About this course
Topics include introducing common random variable models, the central limit theorem, law of large numbers, random variable convergence. Topics may also include order statistics, probability inequalities, Slutsky?sTheorem, Markov chains and stochastic gradient descent. Probability computation using modern software. Not open to students who are taking or who have received credit for MATH 640.
Seat status as of Oct 2, 8:21 PM ET. Seats can change between refreshes.
No sections have been posted for this course in this term yet.