Advanced Topics in Intelligent Systems
Spring 2004
Tuesday 5:45-8:25pm
Instructor: Chan-Jin Chung, Ph. D.
Syllabus
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 Laptop robots, AIBO,
intelligent web applications, application of RFID, and web mining projects. Everyone is expected to
participate in
Robofest 2004 laptop robot competion and later IGVC 2004 in June.
We are planning to publish papers for some conferences and journals
based on our class project results. You
may use either C++ or Java for the projects. Prerequisite of this class is Introduction to
Intelligent Systems (MCS 5503) or
instructor's permission.
Topics and Tentative Schedule (S217, 5:45-8:25pm)
- Review of AI topics and Introduction to Knowledge-Based Intelligent Systems
- Introduction to knowledge representation and reasoning methods
- Rule-based Expert Systems and Uncertainty Management
- Fuzzy Sets, Fuzzy operators, and Fuzzy rules
- Fuzzy Inference and Fuzzy Logic Controller; Advanced Artificial Neural Networks
- Self-organizing Neural Networks
- Genetic Programming II
- Simulated Annealing; Version Space Learning; Theory of Evolutionary Computation
- Advanced Evolutionary Computation - Cultural Algoritrhms
- Constraint Handling in Evolutionary Computation II
- Hybrid Intelligent Systems
- Neuro-Fuzzy Systems
- Fuzzy Evolutionary Systems
- Evolutionary Artificial Neural Networks
- Softcomputing: Neuro-Fuzzy-Evolutionary Systems
- Introduction to Knowledge Engineering and Data Mining
- Robotics and Robot cooperation
- Computer Vision II
- Other IS topics such as SVM and Artificial Immune Systems
Class Resources