MA 53200, Fall 2017

Course Description

Credit Hours: 3.00. (STAT 532) 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
MA 53200 002 REC 114 7:30am TR Pasupathy, Raghu No Office

Course Materials

Section Type Title Author
ALL Textbook Essentials of Stochastic Processes (Springer Texts in Statistics) (3rd ed. 2016) Richard Durrett

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