Teaching

If you cannot solve the proposed problem…try to solve first some related problem.

George Pólya

I mainly teach courses for data analytics and on statistical learning. But if needed, I can teach courses in statistics, linear algebra, analysis, probability, stochastic process, topology, and geometry.

I regularly teach the following undergraduate courses for WSU Data Analytics undergraduate degree/program:

• Stat/Data 437 “High Dimensional Data Learning and Visualization“ (Please click on the link; lecture notes are hosted on Github)
• Stat/Data 435 “Statistical Modeling for Data Analytics“ (Please click on the link; lecture notes are hosted on Github)

I also regularly teach the following graduate course Stat 577 “Statistical Learning Theory” for WSU PhD in Statistics program. Here are the main lecture notes:

• Lecture Notes 1 ; Lecture Notes 2 ; Lecture Notes 3 ; Lecture Notes 4 ; Lecture Notes 5; Lecture Notes 6

I have recently proposed the course Math 583 “Mathematics and Statistics of Deep Learning” for both mathematics and statistics audience. Please go to Math 583 for more information. Here is the syllabus.

I have also taught Stat 443 “Applied Probability” and Stat 412 “Statistical Methods in Research”.