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

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Lecture Videos

Brief Introduction

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

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

Course Info

Instructors

Departments

Electrical Engineering and Computer Science

As Taught In

Spring 2018

Level

Undergraduate

Topics

Topics

Learning Resource Types

Lecture Notes

Lecture Videos

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