ECE 5412

ECE 5412

Course information provided by the Courses of Study 2018-2019. Courses of Study 2019-2020 is scheduled to publish mid-June.

Course covering Bayesian inference for stochastic systems, parameter estimation and Bayesian networks. Includes optimal Bayesian filtering including Kalman filter, Hidden Markov model filter, sequential Monte-Carlo (particle) filters; maximum likelihood parameter estimation including the EM algorithm; social learning models and inference; Bayesian networks and their applications. The course will emphasize applications in social systems/networks, sensing and communication systems.

When Offered Spring.

  • Students will learn state of the art methods in Bayesian state estimation, parameter estimation and applications.

View Enrollment Information

Enrollment Information
Syllabi: 1 available
  •   Regular Academic Session. 

  • 3 Credits Stdnt Opt

  • 17500ECE 5412  LEC 001

    • TR
    • Krishnamurthy, V

  • Course will only be taught in Ithaca, on main campus.