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, and vector calculus. The course also covers the basics of linear algebra. 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.