Artificial Intelligence (AI) is still a research discipline in attempting to
understand the mechanisms underlying intelligent behavior and to build
"intelligent systems" from variety of mechanical and electronic devices. This
course is to offer an introduction to artificial intelligence covering from
mechanism, models, algorithm to some typical AI applications as well. The course
AI covers the following interesting topics: a brief history of AI, research and
philosophical questions faced by AI practitioners, representing and solving AI
problems in a state space search formalism, heuristics, connectionism, and
specific AI problems such as vision, natural language and robotics.
To develop the student's understanding of the issues involved in trying to
define and simulate intelligence.
To familiarize the student with specific, well known Artificial Intelligence
methods, algorithms and results.
To provide the student additional experience in the analysis and evaluation of
To provide the student with paper and proposal writing experience.
Advanced Programming, Mathematical Logic
Students will be graded on their understanding of the course as reflected in
their performance on the homework, class participation, examinations, and
projects as follows (approximately):
Homework 20% + Projects 40% + Final Exams 40%
Liqing Zhang, Prof.
Office: Room 3-435, SEIEE Building
Bo Yuan, Ph.D., Prof.
Office: Room 3-401, SEIEE Building