Fundamentals for coding for programming and computing. The course is focused on teaching students problem solving skills, with a slight emphasis on engineering-related problems. Topics include: assignment, conditionals, loops, functions, vectors, arrays, object-oriented programming, and algorithm development.
100 students
Fundamentals of machine learning. This course covered the basics of data exploration, many common supervised learning methods, model validation/deployment, and AI ethics. After completing the course, students worked on a company challenge with a technology company, and I supported students doing projects with Accenture, BrainStreet Group, Dreamers Inc., and Verizon.
30 students
Cornell University hosts an engineering mathematics institute where engineering students from various Engineering disciplines can get a taste of a subject in applied mathematics. I taught the applied mathematics course that was associated with this institute and taught the students about graphs/networks. The course culminated in a final project which the students presented at Cornell's Summer Research Symposium.
9 students
Students learned methods for solving differential equations. The course started with various methods to solve linear differential equations like variation of parameters, undetermined coeffficients, and change of variables. The second half of the course focused on solving partial differential equations (heat equation, Laplace equation, and wave equation).
70 students
In this course, students develop technical and design skills for creating websites. We went over HTML, CSS, and JavaScript. The material I taught in this course helped me develop this website!
25 students
Fundamentals for coding for programming and computing. The course is focused on teaching students problem solving skills, with a slight emphasis on engineering-related problems. Topics include: assignment, conditionals, loops, functions, vectors, arrays, object-oriented programming, and algorithm development.
60 students