Term: Fall 2021 - Full Term (08/30/2021 - 12/13/2021)
Grade Mode: Letter Grading
|Start Date||End Date||Days||Time||Location|
|8/30/2021||12/13/2021||MWF||9:40am - 11:00am||ONLINE|
Topic: Statistical Computing
This course introduces common methods for numerical analysis and optimization for statistical problems, general Monte Carlo simulations, MCMC basics, and resampling methods, and exposes the students to intermdiate to advanced topics in R programming and data science practice, such as writing functions, data structure, Rcpp, prinicples of visualization, and methods of performance evaluation.
Co-req: MATH 739/839, 738/838 or equivalent (OR Pre-req: 835), and some background in R programming and linear algebra