Statistics
Research Professor of Statistics
Member, Ken Kennedy Institute
Average rating
3.9
8 temporary mock ratings
Difficulty
3.7
course-linked average
Courses
3
in seeded sections
Neural machine learning (Artificial Neural Networks); large, high-dimensional, complex data; manifold learning, self-organized learning, clustering and classification, pattern recognition; variable selection, data mining and visualization.
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 591
Independent study for graduate level research topics in statistics. It provides credit for independent study in a selected area of statistical specialization. It is intended for directed reading, for conducting independent research, and documentation of conclusions and application of practical internships. Repeatable for Credit.
STAT 800
Thesis for Graduate Students. Repeatable for credit. Repeatable for Credit.
