Teaching
Courses
Epi 204: Quantitative Epidemiology III: Statistical Models
Lecture notes and materials for Epi 204 are available on GitHub:
Student Feedback Highlights
Note2025
- I appreciate the way the course is structured and how it lays a strong foundation that enables us to continue learning even after it ends. The additional materials provided and the hands-on experience in data analysis and interpretation have been especially valuable.
- It’s great that the professor challenges us with R and introduces new tools and methods, as many PIs now expect strong R programming skills from their students.
- The content and grading of the exams felt fair. The professor is very open to helping students find useful learning resources, and it’s clear that he genuinely wants us to learn valuable skills and be well-prepared for the next step in our academic or professional careers. As someone who has also taught, I can say he is the kind of instructor who is not selfish and truly cares about student learning.
- I am inspired by the knowledge he shared and how he created a great learning environment, even outside the classroom.
- He is very committed to teaching and supporting students, which is truly appreciated. Overall, he is a great professor with a deep understanding of the course content. He also goes beyond the core curriculum to teach us additional skills that are essential for our success in the program.
Note2024
- It was very well designed and well planned course other than the homework deadlines . The best aspect was that it was more on a practical side i.e. implementation of all those quantitative stuff learnt in the EPI 202 and EPI 203.
- I also greatly appreciated the instructor’s willingness to venture into topics covered in other courses to help try to synthesize the information for students. Both the instructor and TA were very approachable and responsive to questions, and I appreciated the extra set of office hours offered per week.
- Everything about this class was spectacular! Both TA and instructor went beyond their way to help us and I’m really grateful for that!
Note2023
- He did a great job connecting with students and explaining material in a way that was more digestible, even if it took explaining multiple ways. He is a strong instructor.
- Dr. Morrison is one of the most patient and understanding professors I’ve ever had; his genuine concern for our learning and QE success is evident and very much appreciated. cares that the students learn the material and did great considering that this was his first year. Really knows how to answer questions thoroughly.
Presentations
Introduction to Causal Inference
Douglas Ezra Morrison, Ph.D. – January 19, 2022
Presentation PDF | Video (42:18)