Public profile
Research areas
Statistical learning, numerical optimization, and their application to analyzing large and complicated modern data in biological science and engineering applications
Average rating
3.3
2 temporary mock ratings
Difficulty
3.8
course-linked average
Courses
3
in seeded sections
Statistical learning, numerical optimization, and their application to analyzing large and complicated modern data in biological science and engineering applications
STAT 490
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
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 800
Thesis for Graduate Students. Repeatable for credit. Repeatable for Credit.