Teaching is one of the most rewarding aspects of my work. I strive to create an engaging and supportive learning environment that encourages curiosity, critical thinking, and growth. Below are some of the courses I’ve taught and developed.
Teaching is one of the most rewarding aspects of my work. I strive to create an engaging and supportive learning environment that encourages curiosity, critical thinking, and growth. Below are some of the courses I’ve taught and developed.
ISyE3039 Methods for Quality Improvement, Georgia Tech
Undergraduate level @ Summer 2025
Class Size: TBD
ISyE7204 Informatics in Production & Service Systems, Georgia Tech
Graduate level @ Spring 2024, 2025
Instructor: Dr. Jianjun Shi
Class Size: Approximately 10 students or more
Session: Tensor-based Prognostics and Process Control with Applications in Semiconductor Manufacturing (self-designed module)
Designed materials: [Module Syllabus], [Lecture 1], [Lecture 2], [Lecture 3], [Lecture 4], [Lecture 5], [Lecture 6], [Lecture 7], [Lecture 8], [Codes], [Simulation Demo]
ISyE3039 Methods for Quality Improvement, Georgia Tech
Undergraduate level @ Fall 2023, 2024
Instructor: Dr. Jianjun Shi
Class Size: Approximately 40 students or more
Session: Design of Experiments, Minitab & Review Sessions
Designed materials: [Tutorial 1], [Tutorial 2], [Question Bank], [Practice Question], [Quizzes]
ISyE8803 Topics on High-Dimensional Data Analytics, Georgia Tech
Graduate level @ Fall 2023; Spring 2023, 2024; Summer 2023
Instructor: Dr. Kamran Paynabar
Class Size: Approximately 100 students or more
Duties: Office hour, assignment/exam setting and grading
Designed materials: [Exam 1_Collection], [Exam 2_Collection]
ISyE3039 Methods for Quality Improvement, Georgia Tech
Undergraduate level @ Fall 2021, 2022, 2023, 2024; Spring 2022
Instructor: Dr. Jianjun Shi
Class Size: Approximately 40 students or more
Duties: Office hour, Minitab tutorials, exam tutorials, assignment/exam/project grading
Designed materials: [Minitab Handbook], [Minitab for Control Charts], [Minitab for DOE]
MIE1615 Markov Decision Processes, University of Toronto
PhD level @ Winter 2021
Instructor: Dr. Chi-Guhn Lee
Class Size: 8 students
Duties: Assignment/exam setting and grading, presentation evaluation
MIE263 Stochastic Operations Research, University of Toronto
Undergraduate level @ Winter 2021
Instructor: Dr. Janet Lam
Class Size: 118 students
Duties: Weekly tutorials, assignment/exam setting and grading
Designed materials: [HW4], [HW5], [HW6], [Tutorial 4], [Tutorial 5], [Tutorial 6], [Exam 1], [Exam 2]
MIE1723 Engineering Asset Management, University of Toronto
Graduate level @ Fall 2020
Instructors: Dr. Andrew Jardine & Dr. Sharareh Taghipour
Class Size: 40 students
Duties: Exam tutorials, exam/quiz setting and grading, online support to instructors
Designed materials: [Syllabus for Online Lecture], [Quizzes], [Tutorial 1], [Tutorial 2], [Midterm], [Final]
SCS3531 Physical Asset Management Program, University of Toronto
Professional program @ Fall 2020
Leading Instructor: Dr. Andrew Jardine
Class Size: 15 students
Duties: Program schedule, online support to instructors