CSE 598 – AI for Science

Fall 2024, Fall 2025

I introduced a new graduate-level course, AI for Science, in Fall 2024, and we will be offering its second iteration in Fall 2025.

Topics:

  • Review of ML and deep learning basics
  • Mathematical models, simulations, and invariances
  • Physics-informed neural networks
  • Neural operators
  • Differentiable simulators
  • Surrogate modeling for simulation
  • Discrepancy modeling
  • Knowledge-guided learning algorithms
  • Knowledge-guided architecture design
  • Symbolic regression
  • Foundation models for science
  • Special topics 1: Uncertainty quantification
  • Special topics 2: Explainable AI
  • Special topics 3: AI safety

Reach out via email if any questions.

EECS 492 – Introduction to AI

Fall 2023, Winter 2024, Winter 2025

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.