• June 15, 2024

MCA Fifth Semester Model Papers

Faculty: IT 2019 Sample Papers with Solutions Sr. No.  Paper Name  Question Paper Link  Solution Link 1.  Cloud Computing  Click Here  Click Here 2.  Analysis & Design of Algorithm  Click Here …

MCA Third Semester Model Papers

Faculty: IT 2019 Sample Papers with Solutions Sr. No.  Paper Name  Question Paper Link  Solution Link 1.  Java Technologies  Click Here  Click Here 2.  Web Technologies  Click Here  Click Here 3. …

MCA First Semester Model Papers

Faculty: IT 2019 Sample Papers with Solutions Sr. No.  Paper Name  Question Paper Link  Solution Link 1.  Discrete Mathematics  Click Here  Click Here 2.  Programming in C & C++  Click Here …

MSC (Biotechnology) Previous Year Model Papers

Faculty: Science 2019 Sample Papers with Solutions Sr. No.  Paper Name  Question Paper Link  Solution Link 1  Immunology, Virology and Pathogenesis  Click Here  Click Here 2.  Cell Biology  Click Here  Click …

MSC (Biotechnology) Final Year Model Papers

Faculty: Science 2019 Sample Papers with Solutions Sr. No.  Paper Name  Question Paper Link  Solution Link 1  Plant Biotechnology  Click Here  Click Here 2.  Genetic Engineering  Click Here  Click Here


Chapter 1 :Problem solving & Search techniques Concept of intelligence, Artificial intelligence, definition turning test, areas of application.Search techniques, state space, Production rules, problem characteristics, production systemcharacteristic, depth first, breadth first search methods and their analysis, Heuristic searchmethod, generate and test, hill climbing, best first method, graph search, AND OR search methods, constraint satisfaction, backtracking. Chapter2: Knowledge representation Introduction to list and string processing and dynamic databases concept of knowledge,characteristics and representation schemes, Logic, prepositional and predicate calculus,resolution, semantics nets, frames, conceptual dependency, scripts Monotonic reasoning, logical reasoning induction, natural deduction. Chapter 3:Nonmonotonic reasoning Nonmonotonic reasoning – default reasoning minimalist reasoning, statistical reasoning –Baye‘s theorem, certainty factors, dempster shafer theory, Fuzzy logic.Concept of learning, inductive and deductive. Knowledge acquisition, rote learning, discovery analogy. Chapter4:Expert System Concept of expert system, need for an expert system, Component and categories of an expertsystem, need for an expert system, Stages in the development of an expert system.

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