
MIT OpenCourseWare
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


L01.2 Sample Space

L18.8 Related Topics

L24.7 Generic Convergence Questions

L25.3 Markov Chain Review

S01.6 The Geometric Series

L10.6 Stick-Breaking Example

L20.9 Maximum Likelihood Estimation

L26.4 A Numerical Example - Part III

L01.5 Simple Properties of Probabilities

L06.8 Linearity of Expectations & The Mean of the Binomial

L13.11 Variance of the Sum of a Random Number of Random Variables

L26.9 Gambler's Ruin

S18.3 Hoeffding's Inequality

L02.2 Conditional Probabilities

L22.6 A Simple Example

L14.2 Overview of Some Application Domains

S11.1 Simulation

L17.4 Remarks on the LLMS Solution and on the Error Variance

L21.5 The Fresh Start Property
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