EE5531: Probability and Stochastic Processes

3 Credits

Probability, random variables and random processes. System response to random inputs. Gaussian, Markov and other processes for modeling and engineering applications. Correlation and spectral analysis. Estimation principles. Examples from digital communications and computer networks. prereq: [3025, CSE grad student] or dept consent

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All Instructors

B+ Average (3.469)Most Common: A (29%)

This total also includes data from semesters with unknown instructors.

127 students
SWFDCBA
  • 5.08

    /6

    Recommend
  • 5.07

    /6

    Effort
  • 5.44

    /6

    Understanding
  • 4.58

    /6

    Interesting
  • 4.99

    /6

    Activities


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