STAT 433

Fall 2024 Part of Term 1

Part of Term 1
Aug 26-Dec 11

Stochastic Processes

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Credit: 3 OR 4 hours.

A stochastic process is a random process that represents the evolution of some system over time. Topics may include discrete-time and continuous-time Markov chains, birth-and-death chains, branching chains, stationary distributions, random walks, Markov pure jump processes, birth-and-death processes, renewal processes, Poisson process, queues, second order processes, Brownian motion (Wiener process), and Ito's lemma.

3 undergraduate hours. 4 graduate hours. Prerequisite: STAT 400 required, STAT 410 preferred, and MATH 225 (or equivalent knowledge of Linear Algebra) highly recommended.

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STAT 433 class schedule data for fall 2024
	CRN	Type	Section	Time	Day	Location	Instructor	Section Details
	70910	Lecture-Discussion	1GR	2:00PM -2:50PM	MWF	Lincoln Hall	Stepanov, A	Part of Term: 1 Date Range: 08/26/24-12/11/24 Credit: 4 hours Section Info: For up-to-date information about statistics course registration, please see our registration update pages: go.illinois.edu/StatisticsRegistration Restriction(s): Restricted to Graduate - Urbana-Champaign.
	70911	Lecture-Discussion	1UG	2:00PM -2:50PM	MWF	Lincoln Hall	Stepanov, A	Part of Term: 1 Date Range: 08/26/24-12/11/24 Credit: 3 hours Section Info: For up-to-date information about statistics course registration, please see our registration update pages: go.illinois.edu/StatisticsRegistration Restriction(s): Restricted to Undergrad - Urbana-Champaign.