Undergraduate course, School of Mechanical Engineering, 2026
Topics: Python basics; basics of supervised (Bayesian generalized linear regression, logistic regression, deep neural networks, convolutional neural networks), and unsupervised learning (k-means clustering, principal component analysis, Gaussian mixtures).
Undergraduate course, School of Mechanical Engineering, 2025
Topics: Analysis and design of machine elements, including shafts, screws, fasteners, mechanical springs, bearings, gears, and gear trains.
Undergraduate course, School of Mechanical Engineering, 2025
Topics: Kinematic analysis and the design of mobile mechanisms, including linkages, cam-follower systems, gears, and gear trains.
Graduate Course, School of Mechanical Engineering, 2024
Topics: Computational modeling and numerical simulation of material behaviors across multiple scales: continuum, atomic, and quantum.