Teaching
SPRING 2021 courses - quick facts
Math 563: Mathematical statistics
Tuesdays & Thursdays 2pm-3:15pm
At a glance:
Input:
(fundamental statistical concepts,
critical thinking,
skepticism ("do you really believe this claim?"),
enthusiasm for learning how to understand and work with data)
Output:
general understanding of mathematical statistics,
basic experience in using R/Rstudio/Markdown,
all the background for the Stats Qualifying Exam.
Interactive, with participation a grade component:
AhaSlides! interactive quizzes for working through examples in the lectures;
Campuswire as the main communication platform (wiki-style, social style, quick, easy to use).
Respectful of many facets of humankind (share your culture! share your experience! you are valued!) and inclusive (choose your method of participation: anonymous (yes, it counts for credit), camera on/off, share identity, ... This is your class.
STAT 514 / ITMD 514 Applied computational statistics for analytics
Mondays 8:05am - 10:45am
At a glance:
Input:
(fundamental statistical concepts,
corresponding computational tools,
an open mind,
enthusiasm about learning to work with data)
Output:
ability to extract actionable insights from data.Extensive use of R/Rstudio, Python/Anaconda, Markdown.
Putting things together hands-on: the how-and-why of it all.
Online, but interactive, with participation a grade component:
AhaSlides! interactive quizzes for working through examples in the lectures;
Campuswire as the main communication platform (wiki-style, social style, quick, easy to use).
Respectful of many facets of humankind (share your culture! share your experience! you are valued!) and inclusive (choose your method of participation: anonymous (yes, it counts for credit), camera on/off, share identity, ... This is your class.
Let's have a conversation!
My teaching goal is to re-frame all of our learning as a conversation. I've learned from toddlers recently: nobody should think of themselves an expert vs. novice; we are all discovering together, exchanging ideas, and building on them.
While it is extremely difficult to reframe entire semester-long courses from this point of view in the present educational system, I promise to - at least - keep lectures interactive during the semester. One example of what this means is the use of interactive quiz slides throughout the lecture, such as these slides - they are not presented all at once, but dispersed around the lecture.
Advice for graduate students
Past courses
Fall 2020
Stat 514 / ITMD/ITMS 514 Applied computational statistics for analytics
Math 431/530 Nonlinear algebra (computational algebraic geometry)
Older
For a full list of courses I've taught, go here: courses taught at IIT, at Penn State, at UIC, at UK.