Fall 2003, MCS 5503 Intelligent Systems

Thursday 5:45-8:25pm

Syllabus
Class Flyer (PDF 155K) | Teaching Philosophies

Instructor: Chan-Jin Chung, Ph. D. (Personal webpage: www3.ltu.edu/~chung)

Course Description
Philosophers have been trying to understand and resolve two big questions of the universe: how does a human mind work, and can non-human have minds? However, these questions are still unanswered.

This course will be fun because we try to explore the above interesting questions by using computer science technologies. This course introduces methods and techniques to build systems with computational intelligence. Class topics includes: fundamental issues in Intelligent Systems and Artificial Intelligence, search and optimization methods, introduction to machine learning, knowledge and reasoning methods, Artificial Neural Nets, Evolutionary Computation, Fuzzy Logic Control, and reactive machines, state machines, and autonomous robotics. Robot vision will be also covered. Students will gain practical experience by applying those concepts learned to the development of practical intelligent systems such as intelligent web applications, data and www mining, intelligent business applications, design optimization, timetabling systems, bioinformatics (symbol sequence recognizer), evolutionary art, pervasive computing, robot simulator, evolutionary robotics, automomous mobile robots, unmanned systems and among others.

Prerequisites: Knowledge of data structures and (C++ or Java)

Class Projects

Laptop robot projects during OCCRA 03
JavaDV for Windows by Tom Burke
LTU connect 5: Shan Tsen | Gary Chen | Adam Grech
Unbounded Knapsack Problem Competition Winners: Tom Burke and Kuan-Hua (Gary) Chen | results

Class Source Codes, Links, and Data Files

Motor Control resources

Benefits from this course

Masters of Science in Computer Science students who are looking for two major concentrations for satisfying the degree requirements. The next course would be MCS 6513 Advanced Topics in Intelligent Systems.
Masters of Science in Electrical and Computer Engineering students can take this as a technical elective course (you need to complete at least 30 credits).
Students who want to publish research papers in various international research conferences such as GECCO-2004 in Seattle, June 26-30, 2004; EvoCop 2004 in April in Portugal.
Students who want to participate in robotics competitions and/or various research competitions.
Students who are interested in creating own high-tech company for the new millennium.
Undergrad students who need elective classes and consider applying for graduate program at LTU or other Universities.