ATSC 4009 - Objective Data Analysis and Machine Learning in the Physical Sciences

Credits: 3
Max Credit: 3

Techniques for extracting information from data as used in the physical science literature such as compositing, time series analysis, singular value decomposition, principle component analysis, and filtering. More recent techniques from machine learning such as artficial neural networks, self-organizing maps, and traceable Al will be presented.

Prerequisite: MATH 2210 and MATH 2250 OR PERMISSION OF INSTRUCTOR
Cross Listed ATSC 5009