CENG568 KNOWLEDGE ENGINEERING

Course Code:5710568
METU Credit (Theoretical-Laboratory hours/week):3 (3.00 - 0.00)
ECTS Credit:8.0
Department:Computer Engineering
Language of Instruction:English
Level of Study:Graduate
Course Coordinator:Lecturer Dr. AYŞE NUR BİRTÜRK
Offered Semester:Fall or Spring Semesters.

Course Objectives

Basic concepts and techniques. Knowledge representation and reasoning. Drawing inferences. Tools and languages for expert systems. Knowledge engineering and expert systems development.


Course Content

Basic concepts and techniques. Knowledge representation. Drawing inferences. Tools and languages for expert systems. Knowledge engineering and expert systems development. Knowledge acquisition. Current expert system applications.


Course Learning Outcomes


Program Outcomes Matrix

Contribution
#Program OutcomesNoYes
1Competence in fundamental and advanced knowledge of hardware and software Proficiency in problem solving.
2The ability to follow the contemporary technical development, and Initiative and aptitude for self-directed learning.
3They are capable of designing, and conducting experiments at advanced level.
4The ability to design and implement systems involving hardware, software, and the interaction between the two through challenging projects.
5Analyze and compare relative merits of alternative software design, algorithmic approaches and computer system organization, with respect to a variety of criteria relevant to the task (e. g. efficiency, scalability, security).
6Strong interpersonal skills needed for working effectively in small, diverse groups on medium to large scale technical projects.
7Strong oral communication skills essential for effectively presenting technical material to an audience and strong written communication skills and the ability to write technical documents that include specification, design, and implementation of a major project.