Teaching Philosophy and Student Evaluations

Give a Man a Fish and He Will Eat Just For One Night;

But Teach a Man How to Fish and He Will Eat Forever.

My Thoughts on Student Teaching Evaluations

I do NOT believe in their ability to measure the effectiveness of an instructor to impart knowledge. However, it is here to stay in our universities, and so in the spirit of full disclosure and unbiasedness, I am providing some (until 2019) of my student teaching evaluations verbatim to anyone who would like to look at them. Click on the blue link below (whether undergraduate or graduate courses) then on the course or courses that you would like to look at.

To any Student who IS Contemplating Taking a Class From Me

It is my every intention to make you work very, very hard in my class because it is the best way to learn, and I mean LEARN. There will be NO practice exams given, nor review sessions, since they will otherwise bias the results of examinations. If you work hard and understand deeply the materials, then getting a high grade from me will be easy; if you slack off, do not work hard, skip classes, or simply ask tutors or friends, and now Artificial Intelligence (ChatGPT, Claude) to do your assignments (hence, will not understand the materials), then with very high probability you will get a low grade or a failing grade from me [unless you are a genius, but only 2% in the population are considered geniuses (IQ above 140)]. Therefore, if you seek a high grade without doing full effort and work, I may NOT be the ideal professor for you to take. But, if you want to be challenged, wants to learn as much as you can, and enjoys learning new knowledge, you are very much welcome to be in my class, and I’d love to be your professor.

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Evaluations for GRADUATE COURSES

Stat 761: Reliability and Lifetime Data Analysis

Stat 822: Advanced Mathematical Statistics & Decision Theory

Stat 810-811: Probability Theory I & II

Stat 824: Theory of Nonparametric Statistics

Stat 823: Large-Sample Theory

Stat 718: Special Topics Courses

Stat 721: Stochastic Processes

Evaluations for UNDERGRADUATE COURSES

Stat 511-512-513: Probability, Math Stat, and Stat Inference Sequence

Stat 509: Statistics for Engineers

Stat 110: Introduction to Statistical Reasoning