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Searched for: 1 subject found.
1.010 Probability and Causal Inference
(
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Not offered regularly; consult department
Prereq: Calculus II (GIR)
Units: 5-0-7![]()
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. credit cannot also be received for 1.010A or 1.010B.
S. Saavedra