ECE 566

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