MATH 796 (1SY) - Topics

Topics

Durham   Engineering&Physical Sciences :: Mathematics&Statistics
Course Delivery Method: Scheduled meeting time, Online (no campus visits), EUNH
Credits: 4.0
Term: Fall 2021 - Full Term (08/30/2021 - 12/13/2021)
Grade Mode: Letter Grading
Class Size:   10  
CRN: 16891
New or specialized courses not covered in regular course offerings. Prereq: permission of instructor.
You must sign up in the Dept Office before registering through WEBCAT.
Repeat Rule: May be repeated up to unlimited times.
Instructors: Qi Zhang

Times & Locations

Start Date End Date Days Time Location
8/30/2021 12/13/2021 MW 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, and some background in R programming and linear algebra