CSE 598 – AI for Science

Fall 2024

I’ll be teaching a new grad-level course in AI for science this Fall 2024.

Tentative topics:

• Review of ML and deep learning basics
• Bayesian modeling
• Data assimilation
• Physics-informed neural networks
• Theory-guided machine learning
• Neural operators
• Surrogate modeling
• Discrepancy modeling
• Differentiable simulators
• Causal inference
• AI for scientific discovery
• Enabling scientific applications 1: Uncertainty quantification
• Enabling scientific applications 2: Explainable AI
• Enabling scientific applications 3: AI safety

Reach out via email if any questions.

EECS 492 – Introduction to AI

Fall 2023, Winter 2024

This course is an introductory course to artificial intelligence. The purpose of this course is to provide an overview of this field. We will cover topics including: problem solving, knowledge, reasoning, and planning, uncertainty, learning, and application. The goals of this course are to provide a fundamental knowledge of the field and practical implementation experience.