Teaching
Overview of the courses I have instructed or assisted at the University of Pittsburgh.
As Instructor
ENGR 0021 - Probability and Statistics for Engineers
University of Pittsburgh undergraduate lecture
- Spring 2024 (41 students, 39 responses, 95% response rate)
- Overall teaching effectiveness: 4.33 / 5 (mode 5)
- Instructor enthusiasm: 4.72 / 5 (mode 5)
- Course organization: 4.67 / 5 (mode 5)
- Accessibility & support: 4.69 / 5 (mode 5)
- Comments from students:
- “Yiqi is excellent! She is so enthusiastic about teaching the course and helping students. She posts great notes that are always really easy to understand.”
- “Balanced lecture material with examples, provided helpful practice exams and extra review sessions, and was always available for help.”
- “I really disliked statistics in high school, but now I actually really like it. It was so obvious how much you cared about the class and our success.”
- “Great lectures and explained so well. She is an amazing instructor overall and has a knack for presenting topics at a level we can understand.”
- Spring 2023 (36 students, 25 responses, 69% response rate)
- Overall teaching effectiveness: 3.72 / 5 (mode 4)
- Instructor enthusiasm: 3.96 / 5 (mode 4)
- Course organization: 4.28 / 5 (mode 5)
- Accessibility & support: 4.08 / 5 (mode 4)
- Comments from students:
- “The well-organized notes and structured review sessions ensured that exam topics were accurately covered.”
- “The thorough examples and clear annotations in the lecture slides were crucial to understanding the material.”
As Teaching Assistant
- IE 1080 - Supply Chain Analysis, University of Pittsburgh, Fall 2023
- IE 2100 - Supply Chain Analysis, University of Pittsburgh, Fall 2022 and Fall 2020
- IE 2001 - Operations Research, University of Pittsburgh, Spring 2022
- IE 1055/2055 - Facility Layout and Material Handling, University of Pittsburgh, Fall 2021
- ENGR 0021 - Probability and Statistics for Engineers, University of Pittsburgh, Spring 2021 and Summer 2023
- IE 1071 - Statistical Testing and Regression, University of Pittsburgh, Spring 2020