B.TechSemester 72025-26Artificial IntelligenceBCS701
View PDFDownload

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

Rate this paper

Questions Asked in 2025-26

Artificial Intelligence (BCS701) — extracted question text · 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. Check the original PDF for equations, diagrams and complete wording. Extracted: 2026-08-23.

Artificial Intelligence — Other Year Papers

AKTU Artificial Intelligence PYQs from other sessions

Artificial Intelligence2022-23Artificial Intelligence2023-24Artificial Intelligence2024-25Artificial Intelligence2024-25Artificial Intelligence2025-26Artificial Intelligence2021-22

More B.Tech Semester 7 (2025-26) Papers

Other subjects from same semester and session

Cryptography And Network Security2025-26Cryptography And Network Security2025-26Deep Learning2025-26Cloud Computing2025-26Design Thinking2025-26Renewable Energy Resources2025-26Internet Of Things2025-26Wireless Mobile Communication2025-26
View all B.Tech Semester 7 2025-26 papers →

Syllabus & More PYQs

Paper solve karne se pehle unit-wise syllabus dekh lo

AKTU 4th Year PYQs — All Branches