Knowledge Engineering & Expert Systems

Knowledge Engineering & Expert Systems
Hours: 3 0 3

“AI Techniques used in knowledge representation and engineering, knowledge representation models for understanding and problem solving, knowledge organization, representation of episodes, question answering, reconstruction memory planning, inference mechanisms, knowledge acquisition models, expert and decision support (DS) systems: design issues, expert system development, constructive problem solving, blackboard architectures, case studies.

Pre-requisites: noneCo-requisites: none

Hours: XYZ where X = Lecture, Y = Lab, Z = Credit
All hours are per week.
3 Lab hours constitute 1 credit hour
1 credit hour implies 1 lecture of 50mins per academic week. 16 weeks in total.
Pre-Requisite courses are courses required to be completed before this course may be taken
Co-Requisite courses are courses required to be taken along with this course

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