|
Project Goal
Our goal is to develop a framework for teaching core AI topics through
a unifying theme of machine learning. We build on the success of our smaller-scale
NSF-funded project DUE-0409497.
A total of 26 adaptable, hands-on laboratory projects will be developed that can be
closely integrated into a one-term AI course. Each
project will involve the development of a machine learning system in a specific
application. The applications span a large area including network security, recommender
systems, game playing, intelligent agents, computational chemistry, robotics, conversational
systems, cryptography, web document classification, vision, data integration in
databases, bioinformatics, pattern recognition, and data mining. The project will enhance the student
learning experience in the introductory Artificial Intelligence course by:
- Introducing machine learning elements into the AI course,
- Implementing a set of unifying machine learning laboratory
projects to tie together the core AI topics, and
- Developing, applying, and testing an adaptable framework
for the presentation of core AI topics which emphasizes the important relationship
between AI and computer science in general, and software
development in particular.
|
