Introduction to Deep Learning
CSE 190 · Spring 2026
An introductory course on deep learning covering neural network fundamentals, convolutional networks, recurrent models, and practical applications in vision and language.
Advanced Topics in Deep Learning
EECS 242 · Fall 2025
An advanced graduate course covering state-of-the-art deep learning research, including large-scale generative models, diffusion models, and foundation models.
Introduction to Machine Learning
CSE 176 · Fall 2024
Foundational concepts in machine learning: supervised and unsupervised learning, linear models, neural networks, and practical applications.
Deep Learning
EECS 230 · Spring 2024
Comprehensive coverage of deep neural networks: CNNs, RNNs, Transformers, attention mechanisms, and modern training techniques at scale.
Introduction to Computer Vision
CSE 185 · Fall 2023
Introduction to core computer vision concepts: image formation, feature detection, segmentation, object recognition, and deep learning for vision tasks.