Skip to main content

MA 53200, Fall 2021
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. Typically offered Spring.

Instructor Info

Section Room Time Instructor Office
002 UNIV 201 9:30AM MWF Takashi Owada

Course Materials

Section Type Title Author
ALL TEXT Introduction to Stochastic Processes - 2 books will be used for this class. Second book Stochastic Processes, Sheldon Ross, 2nd Edition ISBN 9780471120629 Paul G. Hoel,Sidney C. Port,Charles J. Stone

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