(SEM 1) THEORY EXAMINATION 2020-21 ARTIFICIAL INTELLIGENCE FOR ENGINEERS

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