Now showing
MIT RES.6-012 Introduction to Probability, Spring 2018
About this film
View the complete course: https://ocw.mit.edu/RES-6-012S18 Instructor: John Tsitsiklis, Patrick Jaillet The tools of probability theory, and of the related field of statistical inference, are the keys for being able to analyze and make sense of data. These tools underlie important advances in many fields, from the basic sciences to engineering and management. This resource is a companion site to 6.041SC Probabilistic Systems Analysis and Applied Probability. It covers the same content, using videos developed for an edX version of the course. License: Creative Commons BY-NC-SA More information at https://ocw.mit.edu/terms More courses at https://ocw.mit.edu
Directors & creators
MIT OpenCourseWare
Subjects
RES.6-012, RES.6, probability, probability models, bayes rule, discrete random variables, continuous random variables, bernoulli process, poisson process, markov chains, central limit theorem, statistical inference, Systems Engineering, Probability and Statistics
More from this pool