STAT 321 - Probability Through Simulation

Units: 3
Introductory probability using simulation methods. Estimation of probabilities applying the Law of Large Numbers using repeated sampling. Accuracy of probabilities applying the Central Limit Theorem using repeated sampling. Simulating conditional probabilities using conditional programming techniques. Bootstrapping, Randomization Testing, Bayesian Modeling.

Prerequisites: CS 100.
Possible Instructional Methods: Entirely On-ground.
Grading: A-F or CR/NC (student choice).
Course Typically Offered: Spring ONLY

Student Learning Outcomes - Upon successful completion of this course students will be able to:

Create simulations of different kinds of probability estimates using computer scripts.
Evaluate the accuracy of different kinds of probability estimates by writing computer scripts.