My teaching philosophy is guided by three core tenets:
1) Ensuring economics remains relevant and accessible for all by utilizing the Relevance, Belonging, and Growth (RBG) and the Universal Design for Learning (UDL) frameworks
2) Employing active learning techniques to facilitate learning and create a fun classroom environment
3) Engaging with educator communities to continuously improve as an instructor by staying informed on the best, evidenced-based, pedagogical practices
You can read more about my teaching philosophy here.
The Economics of Mental Health (Fall 2025)
I am excited to teach a course that I have developed and designed myself. You can download the syllabus for the course here.
Professor Lixiong Li, Econometrics (Section Instructor) (Fall 2025, Fall 2024, Fall 2023)
Professor Muhammad Husain, Elements of Microeconomics (Section Instructor) (Spring 2025, Spring 2023)
Professor Nicholas W. Papageorge, The Social Policy Implications of Behavioral Economics (Spring 2024, Fall 2022)
Drop-in tutoring service at OSU's Department of Economics, where I assisted students 1-on-1 in coursework related to Principles of Microeconomics, Intermediate Microeconomic Theory, and Econometrics (Fall 2018 -- Spring 2020)
ECON 5130: Economic History of Western Europe (Fall 2019)
Conference on Teaching and Research in Economic Education (attended 2025 in Denver)
Completed the Johns Hopkins University Teaching Institute 2025
"[Mark] was amazing! Feedback on my coursework was exceptionally helpful, and the TA was more than happy to sit and discuss assignments/external research as well."
"The feedback from [Mark] for papers and homeworks was very useful in making sure the student fully understands the material."
"[Mark] was also very approachable and helpful"
Many students have told me they’ve found some of my materials especially helpful. I’ve shared a few of these resources below in case they’re useful to other instructors. Feel free to send comments or questions to mdrozd1@jhu.edu.
Undergraduate Econometrics
CDF Visualization : An interactive Jupyter Notebook to help understand how normal distributions change with different means and variances, as well as a figures to help visualize the cumulative distribution function. GIFs included below
Students can select the mean and standard deviation of the normal disitrubtion and obtain the CDF at different points.
Students can select mean and standard deviation of the shifted normal to compare to the standard normal distribution
OLS Visualization: An interactive Jupyter Notebook to help understand how Ordinary Linear Squares regressions minimize the sum of the squared residual. GIF of the interactive figure included below.
Students select a slope and intercept to try to "find" the OLS line. At each proposed value, the sum of the square residuals is reported. Students are able to compare to their proposed line to the actual OLS estimated line.