Resources | Introduction to Probability | Electrical Engineering and Computer Science | MIT OpenCourseWare

Course Info

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Departments

Electrical Engineering and Computer Science

As Taught In

Spring 2018

Level

Undergraduate

Topics

Learning Resource Types

Lecture Notes

Lecture Videos

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Lecture Videos

01.1 Lecture Overview

01.10 Interpretations & Uses of Probabilities

01.2 Sample Space

01.3 Sample Space Examples

01.4 Probability Axioms

01.5 Simple Properties of Probabilities

01.6 More Properties of Probabilities

01.7 A Discrete Example

01.8 A Continuous Example

01.9 Countable Additivity

Lecture Notes

Introduction to Probability, Selected Textbook Summary Material

Lecture 1 Supplement: Mathematical Background

Lecture 1: Probability Models and Axioms

Lecture 1: Probability Models and Axioms

Lecture 2: Conditioning and Bayes' Rule

Lecture 2: Conditioning and Bayes' Rule

Lecture 3: Independence

Lecture 3: Independence

Lecture 4: Counting

Lecture 4: Counting

Course Info

Instructors

Departments

Electrical Engineering and Computer Science

As Taught In

Spring 2018

Level

Undergraduate

Topics

Learning Resource Types

Lecture Notes

Lecture Videos

Download Course

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