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Apr 09, 2025
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EE 3713 - Applied Probability and Statistics for Electrical Engineers
Fundamentals of statistics and probability and the ability to apply them to problems in electrical engineering.
Requisites: MATH 2302 and WARNING: No credit if taken after ISE 3210
Credit Hours: 3
Repeat/Retake Information: May be retaken two times excluding withdrawals, but only last course taken counts.
Lecture/Lab Hours: 3.0 lecture
Grades: Eligible Grades: A-F,WP,WF,WN,FN,AU,I
Learning Outcomes: - Students will be able to compute the probability of simple and compound events.
- Students will be able to apply Bayes Rule and the Law of Total Probability to problems involving conditional probabilities.
- Students will be able to define probability density and distribution functions, expected value, variance, and standard deviation for discrete and continuous random variables.
- Students will be able to define joint and marginal density and distribution functions.
- Students will be able to apply correlation, covariance, and correlation coefficient of multiple random variables to relevant engineering problems.
- Students will be able to solve open-ended problems and evaluate the efficacy of the solution.
- Students will be able to create a variety of documents using electronic tools, appropriate formats, grammar, and illustrations to communicate technical information in a clear and concise manner.
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