MATH 4740

MATH 4740

Course information provided by the Courses of Study 2020-2021.

A one-semester introduction to stochastic processes which develops the theory together with applications. The course will always cover Markov chains in discrete and continuous time and Poisson processes. Depending upon the interests of the instructor and the students, other topics may include queuing theory, martingales, Brownian motion, and option pricing.

When Offered Spring.

Prerequisites/Corequisites Prerequisite: MATH 4710, BTRY 3080, ORIE 3500, or ECON 3130 and some knowledge of matrices (multiplication and inverses). Students will be expected to be comfortable with proofs.

Distribution Category (MQR-AS, SMR-AS)

Comments This course may be useful to graduate students in the biological sciences or other disciplines who encounter stochastic models in their work but who do not have the background for more advanced courses such as ORIE 6500.

View Enrollment Information

Syllabi: none
  •   Regular Academic Session. 

  • 4 Credits Stdnt Opt

  •  4583 MATH 4740   LEC 001

    • MWF Online Meeting
    • Feb 8 - May 14, 2021
    • Noack, C

  • Instruction Mode: Online