Resources

Here I share my class notes and study materials that may help you learn. More will be added over time.

Class Notes

Econometrics (ECO 350)

Fall 2025 Dr. Caryn Vazzana

Covers OLS regression, hypothesis testing, heteroskedasticity, multicollinearity, inference, OLS asymptotics, and multiple regression analysis with economic applications.

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Intermediate Microeconomics (ECO 302)

Fall 2025 Dr. Caryn Vazzana

Covers consumer and producer theory, market structures, general equilibrium, and welfare economics with formal optimization techniques.

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Game Theory (ECO 311)

Spring 2026 Dr. Jarrod Burgh

Covers strategic decision-making through Nash equilibrium, dominant strategies, normal form games, decision trees, and mixed strategies nash equilibrium.

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Calculus I (MAT 135)

Spring 2026 Dr. Rachelle Bouchat

Introduces limits, continuity, derivative rules, implicit differentiation, and applications of derivatives and L'Hôpital's Rule.

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GitHub Repositories

Fundamentals of Python

Python Data Analysis Econometrics

Structured Python lessons for data analysis and applied econometrics with practical workflows and real datasets.

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Time Series Econometrics (ECO 402)

R Time Series Econometrics

Comprehensive time series analysis covering stationarity, ARIMA, VAR, cointegration, and forecasting — with transformations at every level and real datasets included.

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