I had the incredible privilege of attending the University of Michigan. Here I mostly took classes within the Stats, Math, and EECS department, but have ventured outside to fulfill some of my personal curiosities.
The Law Quad at Michigan
These courses are relevant to my background as a statistics and data science double major
EECS 484: Database Management System
DATASCI 470: Introduction to the Design of Experiments
EPID 633: Introduction to Mathematical Modeling in Epidemiology and Public Health
MATH 451: Advanced Calculus I
STATS 426: Introduction to Theoretical Statistics
DATASCI 415: Data Mining and Statistical Learning
PUBHLTH 345: Public Health Data Visualization
STATS 413: Applied Regression Analysis
DATASCI 451: Bayesian Data Analysis
EECS 281: Data Structures and Algorithms
STATS 425: Introduction to Probability
STATS 306: Introduction to Statistical Computing
STATS 250: Introduction to Statistics and Data Analysis
EECS 280: Programming and Introductory Data Structures
EECS 203: Discrete Math
EECS 183: Elementary Programming Concepts
MATH 214: Applied Linear Algebra
MTH 293: Calculus III (At Washtenaw Community College)
These courses were taken more as a personal passion. While not completely relevant to my major, they serve as a foundation for who I am and my belief in a multifaceted education.
HISTORY 376: Epidemics: Plagues and Cultures from the Black Death to the Present
THEORY 137: Introduction to the Theory of Music
THEORY 137: Introduction to Musical Analysis
MUSICOL 123: Introduction to Popular Music