ENEE324H

Engineering Probability

Prerequisite: Minimum grade of C- in MATH246 and ENEE222; and permission of ENGR-Electrical & Computer Engineering department. Credit only granted for: BMGT231, STAT400 or ENEE324. Additional information: Electrical Engineering majors may NOT substitute STAT400 for ENEE324. Axioms of probability; conditional probability and Bayes' rules; random variables, probability distribution and densities: functions of random variables: weak law of large numbers and central limit theorem. Introduction to random processes; correlation functions, spectral densities, and linear systems. Applications to noise in electrical systems, filtering of signals from noise, estimation, and digital communications.

Sister Courses: ENEE324

Spring 2025

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Past Semesters

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During the Spring 2020 and Spring 2021 semesters, students could choose to take some of their courses pass-fail mid-semester which skews grade data aggregated across multiple semesters.

Average GPA of 3.14 between 88 students*

ENEE324H Grade Distribution+-051015202530354045% of studentsABCDFWother
A-: 9.09%
A: 21.59%
A+: 13.64%
B-: 12.5%
B: 18.18%
B+: 5.68%
C-: 3.41%
C: 9.09%
C+: 2.27%
D: 3.41%
W: 1.14%
* "W"s are considered to be 0.0 quality points. "Other" grades are not factored into GPA calculation. Grade data not guaranteed to be correct.