ECE 6711
Probability and Stochastic Processes
Course Description
Prerequisites
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. Prerequisite: APMA 3100, MATH 3100, or equivalent.
Instructors
Cong Shen
Fall 2026
tba
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Rating
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Difficulty
3.20
GPA
Nikolaos Sidiropoulos
Fall 2024
MoWe 4:00pm - 5:15pm
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Rating
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Difficulty
3.29
GPA
Daniel Weller
Fall 2020
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Rating
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Difficulty
3.62
GPA
Toby Berger
Fall 2018
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Rating
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Difficulty
3.64
GPA
Maite Brandt-Pearce
Fall 2013
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Rating
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Difficulty
3.29
GPA