Course Overview

This course introduces students to probability and simulation. Students will learn how probability and simulation are applied in real-world decision-making scenarios. Topics covered include probability distributions (normal, binomial, Bernoulli, and Poisson), Markov chains and random walks, bootstrapping, and randomization tests. Applications will be emphasized throughout. A programming language will be used.

Faculty

Contact

• Data Science
• Hall Memorial Building | N318
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• (202) 651-5000
• (202) 559-5622
Monday
9:00 am-5:00 pm
Tuesday
9:00 am-5:00 pm
Wednesday
9:00 am-5:00 pm
Thursday
9:00 am-5:00 pm
Friday
9:00 am-5:00 pm