Teaching

I have added two of my recent teaching experiences during ongoing PhD.

Responsibility	Course	Semester
Instructor	Discrete Choice Analysis	Spring 2022
Teaching Assistant	Discrete Choice Analysis	Spring 2021

Instructor of graduate course – Discrete Choice Analysis

I am currently instructor of Discrete Choice Analysis course – TTE6505. My advisor who generally teaches this course has asked to take over as the instructor. My responsibility as instructor includes covering the designated syllabus, evaluation of assignments and final course projects. The course projects include real world applications of discrete choice models. The syllabus covers:

• Binary logit model
• Multinomial logit model
• Order response model
• Nested logit model
• Latent choice model
• Similarities and differences between discrete choice models and machine learning models

The course also includes teaching R programming for discrete choice analysis. The course uses ‘apollo’ package for the analysis.

Major contribution as Teaching Assistant

I was the Teaching Assistant for the same course – Discrete Choice Analysis TTE6505 in spring 2021. As a TA, my major contribution was to introduce R programming and teach ‘apollo’ package for discrete choice analysis. As a part of course, I developed a series of documents to teach R and the ‘apollo’ package, some of the content has been kept in public domain which will be further enhanced this year. At the end of the semester, I had received very positive reviews about my teaching skills from students.

You can visit my Rpubs website to view selected documents on apollo.