MAPS: Machine Learning and Physical Sciences
National Science Foundation/UCI Graduate Training Program
List of Graduate Courses recommended for MAPS Students
For Physical Sciences Students
CS 274A: Probabilistic Learning: Theory and Algorithms
CS 276A: Neural Networks
CS 216: Image Understanding
CS 242: Parallel Computing
CS 260: Fundamentals of Algorithms
Stats 225: Bayesian Statistical Analysis
Stats 230: Statistical Computing Methods
Stats 245: Time Series Analysis
For ICS Students
PHY 137: Introduction to Cosmology
PHY 212A: Mathematical Physics
CHEM 201: Organic Reaction Mechanisms 1
CHEM 202: Organic Reaction Mechanisms 2
CHEM 204: Organic Synthesis I
ESS 212: Geoscience Modeling and Data Analysis
ESS 222: Global Climate Change Impacts
ESS 228: Geophysical Fluid Dynamics