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Searched for: 1 subject found.
1.010 Probability and Causal Inference
(
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Prereq: Calculus II (GIR)
Units: 5-0-7
Lecture: TR9-10.30 (1-242) Recitation: T3-5 (1-242) +final
Introduces probability and causal inference with an emphasis on understanding, quantifying, and modeling uncertainty and cause-effect relationships in an engineering context. Topics in the first half include events and their probability, the total probability and Bayes' theorems, discrete and continuous random variables and vectors, and conditional analysis. Topics in the second half include covariance, correlation, regression analysis, causality analysis, structural causal models, interventions, and hypothesis testing. Concepts illustrated through data and applications.
S. Saavedra
Textbooks (Fall 2019)
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