Advanced Topics in Intelligent Systems

Spring 2002

Thusday 5:45-8:25pm

Instructor: Chan-Jin Chung, Ph. D.

Class Projects

• Tom George: initial documentation | final documentation
• Vitaliy Opalikhin: project documentation | web class schedule wizard
• Andrey Shvartsman: Laptop Robot

This course provides methods and techniques to build adaptable intelligence systems in depth. Students will gain practical experience while they apply those concepts learned to the development of intelligent systems such as Web-based univeristy class scheduler, 3D design optimizer, symbol sequence recognizer, time series predictor, robot simulator, and automomous mobile robots. You may use either C++ or Java for the projects. Prerequisite of this class is Introduction to Artificial Intelligence, MCS 5503.

Topics

• Review: AI topics
• Introduction to Knowledge-Based Intelligent Systems
• Rule-based Expert Systems(*)
• Fuzzy Expert Systems(*)
• Fuzzy Logic Controller
• Hopfield Network
• Self-organizing Neural Networks
• Advanced Evolutionaly Computation
• Hybrid Intelligent Systems
  • Neural Expert Systems
  • Neuro-Fuzzy Systems
  • Evolutionary Neural Networks
  • Fuzzy Evolutionary Systems
  • Softcomputing: Neuro-Fuzzy-Evolutionary Systems
• Introduction to Knowledge Engineering and Data Mining
• Introduction to World Wide Web Mining
• Robotics and Robot cooperation

(*) may not be covered this semester

Syllabus