Instructor Experience

Calculus II [MATH 1120] - Spring 2022 

• Topics Covered: Integration applications (volumes and arc length, techniques of integration, approximate integration with error estimates, improper integrals etc.), Differential Equations, Infinite Sequences and Series, Tests for Convergence, Power Series, Taylor Series with a Remainder, and Parametric Equations. 

• Average  Student Rating :  4.50/5.00

• Lecture Notes: Link 

TA Experience

Theory of Statistics [STSCI 4090/5090] - Spring 2020, Fall 2019, Spring 2024 

• Topics Covered: Maximum Likelihood Estimation, Sufficiency and Minimal Sufficiency, Bayesian Statistics, Sampling Distributions, Central Limit Theorem, Efficiency, Confidence Intervals, Hypothesis Testing and Uniformly Most Powerful Tests.

• Average  Student Rating :  4.74/5.00

Data Mining and Machine Learning [STSCI 4740] - Fall 2022 

• Topics Covered: Linear Regression, Logistic Regression, Discriminant Analysis, Resampling Methods, Tree-based Methods, Support Vector Machines.

Probabiltity Models and Inference [STSCI 3080/5080] - Fall 2021, Fall 2023, Fall 2024

• Topics Covered: Probability, Random Variables and their Transformations, Joint Distributions, Convolutions, Order Statistics, Conditional Expectation and Conditional Variance, Moment Generating Functions, Modes of Convergence, Jensen's Inequality, Law of Large Numbers, Central Limit Theorem, Delta Method, Maximum Likelihood Estimation, Method of Moments, Confidence Intervals.

Introductory Statistics [STSCI 2100] - Winter 2022, Summer 2021, Spring 2021, Winter 2021, Fall 2020, Summer 2020 

• Topics Covered: Summarizing Data, Basic Probability, Random Variables and Probability Distributions, Sampling Distributions, Confidence Intervals, Hypothesis Testing, Simple Linear Regression, Test for Independence and the Goodness of Fit Test, ANOVA.