VTU 2022 Scheme  ·  Degree  ·  AIML

ARTIFICIAL INTELLIGENCE BAI402 BAD402

Module-wise notes, PYQs, and a built-in resource explorer — everything you need to crack BAD402 in one focused page.

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CodeBAD402
Credits04
CIE / SEE50 / 50
TypeTheory
Exam3 Hours
Hours / Week3:0:2:0
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Last Updated:  15 March 2026

Module Overview

M1

Module 1 Overview

Introduction: What is AI? Foundations and History of AI Intelligent Agents: Agents and environment, Concept of Rationality, The nature of environment, The structure of agents.

Text book 1: Chapter 1- 1.1, 1.2, 1.3 Chapter 2- 2.1, 2.2, 2.3, 2.4

M2

Module 2 Overview

Problem"solving: Problem"solving agents, Example problems, Searching for Solutions Uninformed Search Strategies: Breadth First search, Depth First Search, Iterative deepening depth first search;

Text book 1: Chapter 3- 3.1, 3.2, 3.3, 3.4

M3

Module 3 Overview

Informed Search Strategies: Heuristic functions, Greedy best first search, A*search. Heuristic Functions

Logical Agents: Knowledge - based agents, The Wumpus world, Logic, Propositional logic, Reasoning patterns in Propositional Logic

Text book 1: Chapter 3-3.5,3.6 Chapter 4 - 4.1, 4.2 Chapter 7- 7.1, 7.2, 7.3, 7.4, 7.5

M4

Module 4 Overview

First Order Logic: Representation Revisited, Syntax and Semantics of First Order logic, Using First Order logic. Inference in First Order Logic :Propositional Versus First Order Inference, Unification, Forward Chaining, Backward Chaining, Resolution

Text book 1: Chapter 8- 8.1, 8.2, 8.3 Chapter 9- 9.1, 9.2, 9.3, 9.4, 9.5

M5

Module 5 Overview

Uncertain Knowledge and Reasoning: Quantifying Uncertainty: Acting under Uncertainty, Basic Probability Notation, Inference using Full Joint Distributions, Independence, Baye's Rule and its use. Wumpus World Revisited

Expert Systems: Representing and using domain knowledge, ES shells. Explanation, knowledge acquisition

Text Book 1: Chapter 13-13.1, 13.2, 13.3, 13.4, 13.5, 13.6 Text Book 2: Chapter 20

ARTIFICIAL INTELLIGENCE BAI402 is a VTU course covered through module-wise syllabus, notes, and PYQ-driven exam practice available on this page.

Credits for BAD402: 04.

Yes. You can access organized notes, PDFs, and PYQ material from the file explorer/resources section on this page.

Start with module summaries, solve recent PYQs unit-wise, and finish with complete paper practice under time constraints for SEE readiness.

Yes, this page is maintained with current scheme-oriented materials and practical exam-focused resource curation.

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Resource Explorer

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Frequently Asked Questions

What is BAD402 (ARTIFICIAL INTELLIGENCE BAI402)?

ARTIFICIAL INTELLIGENCE BAI402 is a VTU course covered through module-wise syllabus, notes, and PYQ-driven exam practice available on this page.

How many credits is BAD402?

Credits for BAD402: 04.

Are notes and previous year question papers available for BAD402?

Yes. You can access organized notes, PDFs, and PYQ material from the file explorer/resources section on this page.

How should I prepare ARTIFICIAL INTELLIGENCE BAI402 for VTU exams?

Start with module summaries, solve recent PYQs unit-wise, and finish with complete paper practice under time constraints for SEE readiness.

Is this BAD402 page updated for current VTU scheme?

Yes, this page is maintained with current scheme-oriented materials and practical exam-focused resource curation.

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