Topics in Math and Statistics
Durham
Engineering&Physical Sciences :: Mathematics&Statistics
Online Course Delivery Method: Scheduled meeting time, Online (no campus visits), EUNH
Credits: 3.0
Term: Fall 2021 - Full Term (08/30/2021 - 12/13/2021)
Grade Mode: Letter Grading
Term: Fall 2021 - Full Term (08/30/2021 - 12/13/2021)
Grade Mode: Letter Grading
Class Size:
10
CRN: 16900
CRN: 16900
New or specialized courses not covered in regular course offerings.
Department Approval Required. Contact Academic Department for permission then register through Webcat.
Repeat Rule: May be repeated for a maximum of 99 credits.
Instructors: Qi Zhang
Times & Locations
| Start Date | End Date | Days | Time | Location |
|---|---|---|---|---|
| 8/30/2021 | 12/13/2021 | MWF | 9:40am - 11:00am | ONLINE |
Additional Course Details:
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