Average rating
3.6
6 temporary mock ratings
Difficulty
3.1
course-linked average
Courses
4
in seeded sections
Courses taught
STAT 490
Undergraduate Research In Stat
This course provides 1-3 credit hours of credit for STAT majors who wish to pursue a research project of mutual interest to the student and a faculty member in a selected area of statistical specialization. The student will conduct independent research under the faculty member’s direction. Repeatable for Credit.
STAT 590
Grad Research In Statistics
Research course for graduate level research in probability and statistics. This course provides 1-15 hours of credit for students who wish to pursue a statistical research project of mutual interest to the student and a faculty member. The student will conduct independent research under the faculty member’s direction. Repeatable for Credit. Repeatable for Credit.
STAT 607
Statistical Computing
The course is designed to prepare statistics graduate students for the computational aspects of statistical research. Topics will include important algorithms in frequentist and Bayesian computation (optimization and MCMC sampling methods), as well as practical tools for computational aspects of statistical research, including code profiling, debugging, cluster computing, source code management using Git/GitHub, reproducible research, and development of R packages and Shiny apps. The majority of instruction will be in the R programming language.
STAT 800
Thesis
Thesis for Graduate Students. Repeatable for credit. Repeatable for Credit.