CSC-444
BS
Knowledge Based Systems
(DE) Domain Elective
Theory: 3 Cr. Hrs
Total: 3 Cr. Hrs
Objectives: The main of aim of the course is to discuss techniques that allow development of knowledge based systems to support human decision-making including techniques for knowledge acquisition and reasoning.
Contents: Types of knowledge based systems, Acquisition of knowledge: Sources of knowledge, levels of knowledge, Knowledge categories, Techniques for acquisition, Issues in acquisition, Knowledge representation and reasoning: Semantic nets, logic, uncertain reasoning. Iterative improvement algorithms: Hill climbing, Genetic algorithms. Inductive learning, Neural networks, Support Vector Machines, Bayesian methods, Case based reasoning, Tools for development of knowledge based systems.
In Programmes
BS
BS (Computer Science)
Electives Pool —
Elective ·
Artificial Intelligence (Fall 2026 onwards)