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.
ITS 110, MAT 130, and DAS 101; or permission of the instructor
Program: Data Science
Credit: 3
Faculty
Other Courses
Data Science
Credits 3
Data Science
Credits 3
Data Science
DAS-533G
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Data Science
Data Science
Credits 3
Data Science
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
