B.TechSemester 72025-26Artificial IntelligenceBCS701

Artificial Intelligence (BCS701) - AKTU Question Paper 2025-26

B.Tech · Semester 7 · Free PDF Download

This is the official AKTU Artificial Intelligence Previous Year Question Paper for B.Tech Semester 7, academic session 2025-26. Published by Dr. A.P.J. Abdul Kalam Technical University (AKTU/UPTU), Lucknow. Free PDF download — no login required.

Course:B.Tech
Semester:Semester 7
Session:2025-26
University:AKTU / UPTU

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Questions Asked in 2025-26

Artificial Intelligence (BCS701) — complete question paper · 70 marks · 3 Hours

Section AAttempt all q u e s t i o n s i n b r i e f . 02 x 7 = 14
  • a
    What is an intelligent agent?
  • b
    Define Artificial Intelligen ce and Mention any two applications of AI
  • c
    What is an uninforme d search strategy?
  • d
    Define Breadth First Search (BFS)
  • e
    Define propositional logic
  • f
    What is a Bayesian Network?
  • g
    What is Explainable AI (XAI)?
Section BAttempt any three o f t h e f o l l o w i n g : 07 x 3 = 21
  • a
    Discuss the history and evol ution of AI, highlighting major milestones
  • b
    Explain Hill Climbing algorithm and its limitations
  • c
    Explain knowledge-based age nts using the Wumpus World
  • a
    fuzzy logic b. Perceptron model
  • e
    Explain Natural Language P rocessing and its components
Section CAttempt any one p a r t o f t h e f o l l o w i n g : 07 x 1 = 07
  • a
    Explain the problem-solving approach to AI with an example a nd also Explain problem-solving agents and their components
  • b
    Discuss the architecture of intelligent agents with a diagra m
  • a
    What do you mean by Constraint S atisfaction Problems (CSP) with examples?
  • b
    Explain stochastic games a nd partially observable games
  • a
    Describe and compare forwar d chaining and backward chaining
  • b
    Discuss ontological engineeri ng with its importance and also Explain reasoning using ontologies
  • a
    Explain supervised learning a nd unsupervised learning with examples
  • b
    Derive and explain Bayes’ Rule with an example
  • a
    Discuss case studies of XAI in NLP and computer vision
  • b
    Explain the role of trust and interpretability in AI

Question text is extracted from the official AKTU question paper PDF above. Hindi translations are omitted — every question is printed in English in the original paper. Last verified: 2026-08-23.

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