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DSC X81 DSC 381  Probability and Simulation-Based Inference for Data Science  3 Hours

3 Lecture Hours  0 Lab Hours  
Introduction to inference, through the simulation process. Explore probability, exponential families, conditional probabilities and Bayes theorem, inference and Maximum Likelihood estimation, confidence intervals, and hypothesis testing (emphasis on simulation). The equivalent of three lecture hours a week for one semester.
Pre/Corequisites: Graduate standing.  
Grading: Student Option  
Repeatable for credit: No  
Academic Level: Master's