Manjari Das

Manjari Das

PhD Student

Teaching

Introduction to Statistical Inference (36-226 U)

Undergraduate summer six-week course, Carnegie Mellon University, Department of Statistics and Data Science, 2021

This is a six week long course offered in summers. The topics include basic ideas of statistics, random variables, estimation, hypothesis tests and confidence intervals. I was involved in partially designing the lecture notes and assignments. I held lectures Monday to Friday every week and also conducted flexible doubt clearing sessions. Apart from this, I also worked with a team of six teaching assistants and handled the logistics. I am grateful to Professor Peter Freeman and my fellow student Matteo Bonvini for sharing their resources and for the very helpful guidance.

Download here

Quantitative Social Science Scholars program

Workshop, Carnegie Mellon University, Dietrich College of Humanities and Social Sciences, 2021

This was part of my Dietrich Teaching Fellowship. I got the opportunity to teach and hold workshops for two weeks on basic statistical topics. The first topic was variable transformation for which I designed the lecture notes and created some shiny applications (available in the shiny_apps repository on my Github account) for interactive learning. The second topic was Bootstrap and some practical applications.

Download here