Skip to main content

MA 53200, Spring 2023
Elements Of Stochastic Processes

Credit Hours: 3.00. (STAT 53200) A basic course in stochastic models, including discrete and continuous time Markov chains and Brownian motion, as well as an introduction to topics such as Gaussian processes, queues, epidemic models, branching processes, renewal processes, replacement, and reliability problems.

Instructor Info

Section Room Time Instructor Office
001 UNIV 303 3:30PM MWF Jing Wang MATH 420

Course Materials

Section Type Title Author
ALL TEXT Introduction to Stochastic Processes Gregory F. Lawler
ALL TEXT Introduction to Stochastic Processes, Second Edition Gregory F. Lawler

Important Notes

  • ADA policies: please see our ADA Information page for more details
  • In the event of a missed exam, see your instructor/professor as soon as possible.
  • See the online course evaluation page for more information on how we collect course feedback from students

Department of Mathematics, Purdue University, 150 N. University Street, West Lafayette, IN 47907-2067

Phone: (765) 494-1901 - FAX: (765) 494-0548  Contact Us

© 2024 Purdue University | An equal access/equal opportunity university | Copyright Complaints

Trouble with this page? Disability-related accessibility issue? Please contact the College of Science.

Maintained by Science IT