STAT6486-L1 Data Modeling and Simulation (Fall 2023)
Course Details
Section will be taught totally online with no scheduled class meetings. Students must arrange for daily access to a computer and the Internet prior to the start of classes. Robert Morris labs are to be used only as a backup in special situations and may not be relied upon for extended periods of time. In addition to the Internet link, online classes have a large emphasis on email. All messages from the instructor and other information regarding online classes, including user ids, passwords, and login instructions will be sent to your Robert Morris University email account. Visit http://rmu.blackboard.com/ for more information.
Session, Dates: 4 (10/21/2023 - 12/15/2023)
Days: ONLINE
Time: -
Location: Internet/Online
Room:
Seats Available: No Seats 0 Waiting
Credits: 3
Course Description
Modeling and Simulation covers a range of modeling techniques beyond what is covered in a regression or machine-learning course. This will include Optimization, Statistical Modeling in Robust Linear Regression, and Categorical Data Analysis. The course will also cover Simulation Techniques related to Statistical Estimation and Modeling. Examples include Monte Carlo techniques, Bootstrapping, and the EM algorithm. Students will use the R programming language to write their own code to carry out the above procedures.
Course Materials
Visit the Bookstore. Click for required materials for this course.About the Instructor(s)
Adam B. Combs, Ph.D.
combs@rmu.edu
412-397-4048
John Jay 319
Profile
Associate Professor of Statistics/Actuarial Science
Mathematics
Coordinator, Data Science
Mathematics
combs@rmu.edu
412-397-4048
John Jay 319
Profile