Spring 2024
CS 7320 Artificial Intelligence
The course covers the history of AI, intelligent agents, problem solving, search, constraint satisfaction, knowledge representation, natural language processing, large language models and an introduction to machine learning.
CSE 7310 Python for AI and Data Science
This course will be a hands-on exploration of Python libraries used in Data Science. Topics include Working with Text Data, Databases, NumPy, Pandas, PyPlot, Regression and Tensor Flow.
Research/Interests
- Large Language Models (LLMs) and Knowledge Graphs
- Federated Learning for Satellite Anomaly Detection
- Generative AI to improve machine learning for painting attribution.
- Particle Swarm Optimization for Machine Learning
- The intersection of music and technology
Education:
- PhD (CS) SMU, 1992
- MS (CS) Georgia Tech, 1974
- MS (NeuroPsych) Emory Univ, 1972
- BS (Psychology) Fordham College, 1967
Recommended Reading:
Artificial Intelligence:
Artifical Intelligence. From Turing to ChatGPT. Frank Coyle, First Edition, 2023
Machine Learning with Python Cookbook. Chris Albon. 2018.
Semantic Web:
XML and Associated Technologies:
Beginning XML. 4th Edition., Hunter, Rafter, et. al., WROX Press. , ISBN# 0-470-11487-8
XML, Web Services and the Data Revolution. Frank Coyle, Addison Wesley. 0-201-77641-3
You may order from the SMU bookstore or from Amazon