MCASemester 32023-24Artificial IntelligenceKCA301

Artificial Intelligence (KCA301) - AKTU Question Paper 2023-24

MCA · Semester 3 · Free PDF Download

This is the official AKTU Artificial Intelligence Previous Year Question Paper for MCA Semester 3, academic session 2023-24. Published by Dr. A.P.J. Abdul Kalam Technical University (AKTU/UPTU), Lucknow. Free PDF download — no login required.

Course:MCA
Semester:Semester 3
Session:2023-24
University:AKTU / UPTU

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Questions Asked in 2023-24

Artificial Intelligence (KCA301) — extracted question text · 100 marks · 3 Hours

Section AAttempt all q u e s t i o n s i n b r i e f . 2 x 10 = 20
  • a
    What do you mean by AI?
  • b
    What are the different branches of artificial intelligence?
  • c
    Discuss searching process
  • d
    Define conceptual dependency
  • e
    Explain Bayesian networks
  • f
    Describe forward chaining
  • g
    What is Statistical learning method?
  • h
    Describe decision tree with diagram? i. What is Statistical PR? j. Explain K-means clustering
Section BAttempt any three o f t h e f o l l o w i n g : 10x3=30
  • a
    Describe the applications of artificial intelli gence
  • b
    Explain Searching techniques used in games
  • c
    Describe the use of Hidden Markov models in speech recogniti on
  • d
    Explain learning with hidde n data – EM algorithm
  • e
    Define pattern recognition. Wha t are the components of pattern recognition?
Section CAttempt any one part of the following: 10x1=10
  • a
    Explain various approaches in NLP?
  • b
    Differentiate between human int elligence and machine intelligence
  • a
    Discuss the problem of water jug with heuristic search techniques
  • b
    Explain Alpha-Beta pruning with example
  • a
    What do you mean by knowledge r epresentation? Describe the t echniques of knowledge representation
  • b
    Explain the methods of planni ng & acting in the real world
  • a
    Write short note on the following: i) Reinforcement learning ii) Machine learnin
  • b
    Explain discrete model, Naive Bayes Model & Continuous Model
  • a
    Define Principle Component A nalysis (PCA). Write steps invol ved in making principle components to do a classification of given data
  • b
    Explain Nearest Neighb or (NN) rule in detail

Question text is extracted from the official AKTU question paper PDF above. Check the original PDF for equations, diagrams and complete wording. Extracted: 2026-08-23.

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