ECE 6711

Probability and Stochastic Processes

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Course Description

Pre-Requisite(s): APMA 3100, MATH 3100, or equivalent

Topics include probability spaces; random variables and vectors; and random sequences and processes; especially specification and classification. Includes detailed discussion of second-order stationary processes and Markov processes; inequalities, convergence, laws of large numbers, central limit theorem, ergodic, theorems; and MS estimation, Linear MS estimation, and the Orthogonality Principle.


  • Cong Shen

     Rating

     Difficulty

     GPA

     Sections

    Last Taught

    Fall 2025

  • Nikolaos Sidiropoulos

     Rating

     Difficulty

     GPA

    3.29

     Sections

    Last Taught

    Fall 2024

  • Daniel Weller

     Rating

     Difficulty

     GPA

    3.62

     Sections

    Last Taught

    Fall 2020

  • Toby Berger

     Rating

     Difficulty

     GPA

    3.64

     Sections

    Last Taught

    Fall 2018

  • Maite Brandt-Pearce

     Rating

     Difficulty

     GPA

    3.29

     Sections

    Last Taught

    Fall 2013