University of Michigan

Graduate Student Instructor

CEE 501: Next Generation Transportation Systems Seminar

Georgia Tech

Head Teaching Assistant

ISYE 4134: Constraint Programming - Spring 2023

Instructors: Lecturer Tejas Santanam, Prof. Pascal Van Hentenryck
Course Description: This course is an introduction to constraint programming, from its modeling language to its computational methodology and its applications to scheduling, routing, and resource allocation.
Responsibilities:

• Held office hours at least twice a week.
• Graded assignments and exams.
• Answered questions on course material on a forum and by email.

Undergraduate Teaching Assistant

ISYE 3044: Simulation Analysis and Design - Summer 2022

Instructor: Prof. Seong-Hee Kim
Course Description: Discrete event simulation methodology emphasizing the statistical basis for simulation modeling and analysis. Overview of computer languages and simulation design applied to various industrial situations.
Responsibilities:

• Held two general office hours of 1 hour each week to teach and aid understanding of course material, midterm project, and final project.
• Graded homeworks, labs, one midterm project, and one final project.
• Answered questions on course material on a forum and by email.

ISYE 4034: Decision and Data Analytics - Spring 2022

Instructor: Prof. Jye-Chyi Lu
Course Description: Integrate decision and data analytics together to solve real-world problems. Hands-on system modeling, data collection and analysis, and reporting writing projects.
Responsibilities:

• Advised three teams of 10 students each on their semester projects. I gave them guidance on directions to take their projects, helped them utilize material learned in their class for their optimization and data models, monitored their work and progress, and answered any questions they had regarding semester projects and course assignments in general.
• Graded homeworks, projects, and exams.
• Answered questions on course material by email.

ISYE 3770: Statistics and Applications - Spring 2021

Instructor: Dr. Tuba Ketenci
Course Description: Introduction to probability, probability distributions, point estimation, confidence intervals, hypothesis testing, linear regression, and analysis of variance.
Responsibilities:

• Held two office hours of 75 minutes each week to teach and aid understanding of course material.
• Graded homeworks, quizzes, and exams.
• Answered questions on couse material on a forum and by email.

Note: All course descriptions taken from the Georgia Tech Catalog