teaching

Materials and resources for courses I teach.

2024

Introduction to Real Analysis

This graduate-level course introduces the basic concepts of real analysis, including sequences, series, continuity, and differentiability. The course also covers the basics of measure theory.

Multivariate Calculus

This undergraduate-level course introduces the basic concepts of multivariate calculus, including partial derivatives, multiple integrals. The course also covers the basics of linear algebra.

Computation

This undergraduate-level course introduces the basic concepts of statistical inference, including estimation, hypothesis testing, and confidence intervals. The course also covers Bayesian inference and linear regression.

Numerical Analysis and Simulation

This graduate-level course introduces the basic concepts of numerical analysis, including numerical methods for solving linear and nonlinear equations, interpolation, numerical differentiation and integration, and numerical solutions of ordinary differential equations and stochastic differential equations.

Statistical Modelling

This undergraduate-level course introduces various statistical models, including linear regression, logistic regression, and generalized linear models - covering estimation and diagnostics. The course also covers Bayesian statistics.

2023

Statistical Inference

This undergraduate-level course introduces the basic concepts of statistical inference, including estimation, hypothesis testing, and confidence intervals. The course also covers Bayesian inference and linear regression.

Data Science Techniques and Algorithms

This undergraduate-level course introduces the basic concepts of machine learning, including supervised and unsupervised learning, and covers the most common machine learning algorithms.

Multivariate Calculus

This undergraduate-level course introduces the basic concepts of multivariate calculus, including partial derivatives, multiple integrals, and vector calculus. The course also covers the basics of linear algebra.

2022

Multivariate Calculus

This is a undergraduate-level full course about the concepts of multivariate calculus, including partial derivatives, multiple integrals, and vector calculus. The course also covers the basics of linear algebra.

Introduction to Computation

This undergraduate-level course introduces the basic concepts of computation, including algorithms, data structures, and complexity theory. The course also covers the basics of programming in Python.