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Description: 3 units. Provides an introduction to problems and techniques of artificial intelligence (AI). Automated problem solving, methods and techniques; search and game strategies, knowledge representation using predicate logic; structured representations of knowledge; automatic theorem proving, system entity structures, frames and scripts; robotic planning; expert systems; implementing AI systems; advanced topics: artificial neural networks, and learning, genetic algorithms; survey of modern applications
Grading: Regular grades are awarded for this course: A B C D E.
May be convened with: ECE 479.
Usually offered: Fall.
Artificial Intelligence: A modern approach. S. Russell and P. Norvig, Prentice Hall, 2009 (3rd Edition)
By the end of this course, the student will be able to:
Two 90-minute lectures per week
a) an ability to apply knowledge of mathematics, science, and engineering (Medium)
b) an ability to design and conduct experiments, as well as to analyze and interpret data (Medium)
c) an ability to design a system, component, or process to meet desired needs within realistic
constraints such as economic, environmental, social, political, ethical, health and safety, manufacturability,
and sustainability (Medium)
d) an ability to function on multi-disciplinary terms (Low)
e) an ability to identify, formulate, and solve engineering problems (High)
f) an understanding of professional and ethical responsibility (Low)
g) an ability to communicate effectively (Medium)
h) the broad education necessary to understand the impact of engineering solutions in a global, economic,
environmental, and societal context (Medium)
i) a recognition of the need for, and an ability to engage in life-long learning (Medium)
j) a knowledge of contemporary issues (Medium)
k) an ability to use the techniques, skills, and modern engineering tools necessary for engineering practice. (High)