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Engineering Probability
Spring 2025

Title
Topic
Lecture 13

Two random variables (discrete)

Lecture 14

Two random variables (continuous); independence

Lecture 15

Joint expectations, correlation, covariance

Lecture 16

Conditional PDFs; Bayesian and maximum likelihood estimation

Lecture 17

Conditional expectations

Lecture 18

Sums of random variables

Lecture 19

Sums of random variables

Lecture 20

Central limit theorem; confidence intervals

Lecture 21

MAP, ML, and MMSE estimation

Lecture 22

Hypothesis testing

Lecture 23

Testing the fitness of a distribution; generating random samples

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