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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


S01.1 Sets

L10.9 Mixed Bayes Rule

L06.4 Conditional PMFs & Expectations Given an Event

S09.1 Buffon's Needle & Monte Carlo Simulation

L07.5 Example

L23.9 Different Sampling Methods can Give Different Results

L12.7 The Variance of the Sum of Random Variables

L19.3 Discussion of the CLT

L15.5 The Mean Squared Error

L16.4 LMS Performance Evaluation

L16.8 Properties of the LMS Estimation Error

L13.9 Section Means and Variances

L25.11 Birth-Death Processes - Part II

L12.5 Covariance

L10.5 Independence

L05.4 Bernoulli & Indicator Random Variables

L12.10 Interpreting the Correlation Coefficient

L04.8 Each Person Gets An Ace

L12.8 The Correlation Coefficient
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