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Course Title[Course Code]:Operating Systems[CSW 355]

Faculty: Computers and Artificial Intelligence
Department: Artificial Intelligence
Program: Computers System
Compulsory / Elective:Compulsory
Undergraduate(Third Year-Second Semester)
Hours:
Lecture:( 3 ) Practical / Clinical:( 2 ) Tutorial:( - )

Course Description:
The course aims at introducing the Artificial and Human intelligence: Domains of AI-symbolic processing: Semantic nets, modeling, model based reasoning, frames. Inference techniques: Implication, forward and backward chaining, inference nets, predicate logic, quantifiers, tautology, resolution, and unification. Rule based systems: Inference engine, production systems, problem solving, planning, decomposition, and basic search techniques. AI languages: Symbolic and coupled processing prolog: Objects and relations, compound goals, backtracking, search mechanism, dynamic databases, Lisp: program structure and operations, functions, unification, memory models. Fields of AI: heuristics and game playing, automated reasoning, problem solving, computational linguistics and natural language processing, computer vision, robotics. AI based computer systems: Sequential and parallel inference machines, relation between AI and artificial neural nets, fuzzy systems.