About this previous year paper
This document contains the official AKTU B.Tech 1st Semester (2020–21) Question Paper for the subject Artificial Intelligence for Engineers (KMC101). This is a complete 100-mark, 3-hour university examination paper designed to evaluate a student’s understanding of AI concepts, data processing, deep learning, NLP, neural networks, speech recognition, and real-world AI applications.
Ideal for students preparing for AKTU end-semester exams, internal assessments, or engineering entrance revision, this question paper follows the exact pattern used in the university exam and helps students practice both theory and conceptual AI topics.
What This Question Paper Covers (Detailed Overview)
SECTION A – 2-Mark Short Questions
This section contains 10 concise conceptual questions, each worth 2 marks. Key topics include:
Ethical approach in AI
Definition of Artificial Intelligence
Difference between data and information
Data clustering basics
Speech recognition applications
Parsing in Natural Language Processing
Meaning of neuron
Advantage of deep learning
Uses of computer vision
Definition of pixel
These questions help students revise fundamental concepts quickly.
SECTION B – 10-Mark Descriptive Questions
Students must attempt any 3 out of 5 long-answer questions. Topics include:
Evolution and future scope of AI
Stages of data processing
Architecture of speech recognition systems
Universal Approximation Theorem in neural networks
Advantages and challenges of face recognition
These questions help build strong theoretical understanding and prepare students for high-score answers.
SECTION C – Long Answer Questions (Higher Difficulty)
Students must attempt one part from each of the five questions. Each question carries 10 marks and includes deeper AI topics:
Question 3
Computational intelligence
OR
Difference between AI systems and traditional systems
Question 4
Data visualization
OR
Classification of data
Question 5
Machine translation & assistance to differently-abled users
OR
Chatbots & their advantages
Question 6
Neural network + detailed explanation of recurrent neural network
OR
How deep learning mimics the human brain + limitations
Question 7
Real-world artificial intelligence applications
OR
Object recognition & intelligent robots
This section helps students practice complete, analytical, and structured long-form answers.
Why This Question Paper Is Useful for Students
This question paper helps students:
Understand the AKTU exam pattern for KMC101
Practice real university-level AI questions
Improve conceptual clarity in AI, NLP, neural networks, deep learning
Revise entire AI syllabus quickly
Score higher in the semester exams
Build foundational knowledge required for future AI subjects
It is perfect for CSE, IT, AIML, AI & DS, ECE and any branch studying AI fundamentals.
Ideal For:
AKTU B.Tech 1st Year Students
Students preparing for AI internal & final exams
SuGanta Store notes & study material users
Engineering students learning basic AI, ML, and data science
Teachers preparing question papers or assignments