Fundamental concepts and methods of computational data analysis, including pattern classification, prediction, visualization, and recent topics in deep learning.
Sophomore standing. Must register for lecture and laboratory. Sections may be offered: Online. Credit allowed for only one of the following: CS 445, CS 480A3, or DSCI 445.
This course can be applied toward:
CS 320 (with a C [2.0] or better).
Dr. Charles W. Anderson is a professor of Computer Science at CSU. He graduated with a Ph.D. in computer science from the University of Massachusetts, Amherst, in 1986, and worked at GTE Laboratories in Waltham, MA, until arriving at CSU in 1991. Dr. Anderson works with neural networks, reinforcement learning, EEG pattern recognition, neural modeling, HVAC control, adaptive tutoring, computer graphics, computer vision, and software and hardware testing.