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A free and open online publication of educational material from thousands of MIT courses, covering the entire MIT curriculum, ranging from introductory to the most advanced graduate courses. On the OCW website, each course includes a syllabus, instructional material like notes and reading lists, and learning activities like assignments and solutions. Some courses also have videos, online textbooks, and faculty insights on teaching. Knowledge is your reward. There's no signup or enrollment, and no start or end dates. OCW is self-paced learning at its best. Whether you’re a student, a teacher, or simply a curious person that wants to learn, MIT OpenCourseWare (OCW) offers a wealth of insight, inspiration, videos, and a whole lot more! Get the full picture on the OCW website at https://ocw.mit.edu. Accessibility: https://accessibility.mit.edu/ User comments policy: https://ocw.mit.edu/comments/ (Channel banner photo by Nietnagel on Flickr: https://flic.kr/p/8WXxfK.)
Episodes


Joint Probability Mass Function (PMF) Drill 2

PMF of a Function of a Random Variable

The Monty Hall Problem

Widgets and Crates

The Difference of Two Independent Exponential Random Variables

Mean First Passage and Recurrence Times

Ambulance Travel Time

Bernoulli Process Practice

Calculating a Cumulative Distribution Function (CDF)

Probability that Three Pieces Form a Triangle

A Random Walker

A Coin Tossing Puzzle

Markov Chain Practice 1

Communication over a Noisy Channel

Normal Probability Calculation

A Random Number of Coin Flips

An Inference Example

Conditional Probability Example

A Derived Distribution Example
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