

Calculus 2
A lower division undergraduate course in which students learn:
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Antiderivatives
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Integrals
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Applications of Definite Integrals
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Integrals and Transcendental Functions
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Techniques of Integration




Linear Algebra 2
An upper division undergraduate course in which students learn:
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Vector Spaces
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Linear Transformations
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Reduced Row Echelon Form
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Determinants
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Eigenvalues and Eigenvectors



Rank-Nullity Theorem Proof

Regression Analysis
A graduate course mostly for masters students:
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Exploratory Data Analysis
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Linear Regression (assumptions, estimation, inference, diagnostics, transformations, variable selection, special cases)
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Generalized Linear Models (assumptions, exponential family, estimation, inference, diagnostics, examples)




Applied Probability
A lower division undergraduate course:
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Introduction to Probability
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Bayes theory
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Discrete and continuous random variables
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Special examples of random variables
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Conditional and marginal distributions
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Independence
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Expectation
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Transformations of univariate random variables

