Resources

Time Series Econometrics (ECO 402)

Covers fundamentals of time series, white noise, linear stochastic processes, lag operator, MA, AR, and ARMA models, correlation, stationary and non-stationary models, forecasting strategies, and time series regression.

Game Theory (ECO 311)

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

Calculus I (MAT 135)

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

Intermediate Macroeconomics (ECO 301)

Covers macroeconomic measurements, GDP, long-run growth models, mathematical tools of growth, convergence, model of production, returns to scale, marginal products, and the Solow growth model.

Econometrics (ECO 350)

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

Intermediate Microeconomics (ECO 302)

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

Fundamentals of Python

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

Time Series Econometrics (ECO 402)

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