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Graduate Programs
Home / Graduate Programs / Courses / Knowledge-System Engineering

ECE 566

Knowledge-System Engineering

Spring (alternating)
Required Course:
No

Course Level

Graduate

Units

3

Prerequisite(s)

Graduate standing

Course Texts

Artificial Intelligence, A Modern Approach, latest edition by Stuart Russell and Peter Norvig, Prentice-Hall.

Additional reading provided/assigned by instructor.

Schedule

Six 75-minute classroom sessions; lectures streamed online

Course Links

ECE 566 Course Website

Course Description

Knowledge systems are intelligent systems that totally or partially involve computational representation and processing of knowledge.

Objectives of this class are to:  

  • Introduce students to the principles and techniques for engineering and developing knowledge systems
  • Teach the alternative computational structures and methods for representation of knowledge
  • Teach procedures and algorithms for computational processing (of knowledge structures), including automated reasoning and inference from knowledge, learning new knowledge, handling uncertain information, and complex knowledge-based-decision-making
  • Discuss alternative system architectures (engines) for knowledge-based systems
  • Graduate-level requirements include a more extensive and in-depth project,  and an additional assignment or question on the exam

Assessment

  • Homework: 3 assignments
  • Project: 1 class project
  • Activities: A few class activities
  • Exams: 1 midterm exam, 1 final exam
  • Typical grading policy: 25% midterms, 25% final exam, 20% homework, 10% activities, 20% class project
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gradadvisor@ece.arizona.edu
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The University of Arizona
Department of Electrical & Computer Engineering
1230 E. Speedway Blvd.
P.O. Box 210104
Tucson, AZ 85721-0104
520.621.6193

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