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18.05 Introduction to Probability and Statistics
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Undergrad (Spring) Rest Elec in Sci & Tech
Prereq: Calculus II (GIR)
Units: 4-0-8
Lecture: TR2.30-4,F4 (32-082) or TR1-2.30,F2 (32-082) +final
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A unified introduction to probability, Bayesian inference, and frequentist statistics. Topics include: combinatorics, random variables, (joint) distributions, covariance, central limit theorem; Bayesian updating, odds, posterior prediction; significance tests, confidence intervals, bootstrapping, regression. Students also develop computational skills and statistical thinking by using R to simulate, analyze, and visualize data; and by exploring privacy, fairness, and causality in contemporary media and research. Flipped subject taught in a Technology Enabled Active Learning (TEAL) classroom to facilitate discussion, group problem solving, and coding studios with ample mentorship.
J. Bloom
No textbook information available