Statistical Computing
Durham
Engineering&Physical Sciences :: Mathematics&Statistics
Online Course Delivery Method: Scheduled meeting time, Online (no campus visits), EUNH
Credits: 4.0
Term: Fall 2023 - Full Term (08/28/2023 - 12/11/2023)
Grade Mode: Letter Grading
Term: Fall 2023 - Full Term (08/28/2023 - 12/11/2023)
Grade Mode: Letter Grading
Class Size:
10
CRN: 14966
CRN: 14966
This is a course on statistics-oriented programming and common computational methodologies used in statistics. Students will learn principles and techniques of sample-splitting, cross-validation, simulation, bootstrap, and optimization, and how to implement them in R. The students will gain experience of reading/modifying, writing and debugging code, and how to speed up computation.
Registration Approval Required. Contact Instructor or Academic Department for permission then register through Webcat.
Prerequisite(s): MATH 738 or MATH 739
Cross listed with : MATH 834.02
Classes not allowed in section: Freshman, Sophomore
Instructors: Qi Zhang
Times & Locations
| Start Date | End Date | Days | Time | Location |
|---|---|---|---|---|
| 8/28/2023 | 12/11/2023 | MWF | 8:10am - 9:30am | ONLINE |