Teaching

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Graduate

Primary Instructor

IOE 202: Operations Engineering & Analytics, Fall 2022 (2nd half of the term)

Responsibilities: prepared/taught lecture, supervised instructor assistant, held weekly office hours, graded exams
Enrollment: approx. 20 students
Course Evaluation Instructor Score (median of instructor-based questions): 4.75/5.0
Course Syllabus

Guest Instructor

IOE 202: Operations Engineering & Analytics (1 class), Nov. 2021

Topic: Probability Review & Discrete Random Variables
Enrollment: approx. 50 in-person and 50 remote students

Graduate Student Instructor (GSI)

IOE 316: Introduction to Markov Processes, Spring 2021

Responsibilities: prepared/taught lab sessions, created assignments, held weekly office hours, graded exams
Enrollment: approx. 70 students
Course Evaluation Instructor Score (median of instructor-based questions): 4.9/5.0
University of Michigan Joel and Lorraine Brown GSI of the Semester Award
Top Nominee for the Richard and Eleanor Towner Prize for Outstanding GSI Award

"Devotion from the instructor of understanding for their students was a major strength. It was helpful to also be able to have time to ask questions, and also to be encouraged to ask questions, as it made learning and understanding more accessible." IOE 202

"Lauren was probably the best instructor I've had. She already goes above and beyond. I don't think you can get any better than that." IOE 202

"Lauren is amazing. Probably the best GSI I've had. She put so much effort int answer any conceptual question I had. Her office hours contributed heavily to my ability to retain information." IOE 202

"She is very sensitive to student concerns and answers questions in the most friendly, thorough way that I have ever experienced. She was a true asset to the instructional staff and has a real talent for identifying points of student concern and effectively and efficiently responding to them." IOE 316

"I loved going to her office hours because she was very patient and kind when explaining things." IOE 316

"She explains the material very well. Even when I or someone else doesn't understand one way of learning the material, she still manages to explain it in a different way that makes a lot of sense(different approaches to problems)." IOE 316

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Undergraduate

Grader

IE 1082: Probabilistic Methods in Operations Research, Spring 2019

Responsibilities: graded assignments, held weekly homework solution sessions, conducted in-class activities when professor was unavailable
Enrollment: approx. 80 students

IE 1070: Probability, Random Variables, and Distributions, Fall 2017

Responsibilities: graded assignments, held weekly office hours
Enrollment: approx. 70 students

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Independent Teaching

Independent Tutor

Alegebra, Spring 2023

Probabilistic Methods in Operations Research, Spring 2019

Introductory College Statistics, Fall 2017

High School Pre-Calculus, May 2016

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