VTU 2022 Scheme  ·  Degree  ·  CSE

Artificial Intelligence BCS515B

Module-wise notes, PYQs, and a built-in resource explorer — everything you need to crack BCS515B in one focused page.

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CodeBCS515B
Credits03
CIE / SEE50 / 50
TypeTheory
Exam3 Hours
Hours / Week3:0:0:0
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Last Updated:  15 March 2026

Module Overview

M1

Module 1 Overview

Introduction: What Is AI? , The State of The Art.

Intelligent Agents: Agents and environment, Concept of Rationality, The nature of environment, The structure of agents.

Chapter 1 - 1.1, 1.4

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

Chapter 3 - 3.1, 3.2, 3.3, 3.4

M3

Module 3 Overview

Problem"solving: Informed Search Strategies, Heuristic functions

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

Chapter 3 - 3.5, 7.6

Chapter 7 - 7.1, 7.2, 7.3, 7.4

M4

Module 4 Overview

First Order Logic: Representation Revisited, Syntax and Semantics of First Order logic, Using First Order logic, Knowledge Engineering In First-Order Logic

Inference in First Order Logic: Propositional Versus First Order Inference, Unification, Forward Chaining

Chapter 8- 8.1, 8.2, 8.3, 8.4

Chapter 9- 9.1, 9.2, 9.3

M5

Module 5 Overview

Inference in First Order Logic: Backward Chaining, Resolution

Classical Planning: Definition of Classical Planning, Algorithms for Planning as State-Space Search, Planning Graphs

Chapter 9-9.4, 9.5

Chapter 10- 10.1,10.2,10.3

Resource Explorer

Browse all BCS515B study materials — notes, PYQs, and revision resources. Navigate folders for module-wise content and preview files before downloading.

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Frequently Asked Questions

What is BCS515B (Artificial Intelligence BCS515B)?

Artificial Intelligence BCS515B is a VTU course covered through module-wise syllabus, notes, and PYQ-driven exam practice available on this page.

How many credits is BCS515B?

Credits for BCS515B: 03.

Are notes and previous year question papers available for BCS515B?

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 BCS515B 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 BCS515B 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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About Artificial Intelligence (BCS515B)

Artificial Intelligence (BCS515B) is a critical course in the VTU curriculum, essential for any student looking to master the foundations of engineering. It covers key theoretical frameworks and practical concepts that are widely used in the industry today, ensuring students are well-prepared for both exams and their future careers.

Success Strategy

Highlight definitions, advantages/disadvantages, and use case examples. Clear headings and bullet points are essential for VTU evaluators.

📘 Detailed Syllabus & Topic Breakdown

Detailed Subject Overview

Artificial Intelligence (BCS515B) is designed to provide a comprehensive look into the core methodologies and advanced theories that define this field. Understanding this subject is fundamental for anyone looking to excel in modern technical domains and industrial engineering.

By studying this course, you will learn how to approach complex problems with a structured mindset, optimizing systems for better performance and reliability—skills that are highly valued in both AI research and software architecture.

Module-by-Module Breakdown

Module 1
Essential

Master the Introduction What Is AI? , The State of The Art....

Key: Exam Priority Concept
Module 2
Math Heavy

Master the Problem"solving Problem"solving agents, Example problems, Searching for Solutions...

Key: Exam Priority Concept
Module 3
Logic Core

Master the Problem"solving Informed Search Strategies, Heuristic functions...

Key: Exam Priority Concept
Module 4
Exam Focus

Master the First Order Logic Representation Revisited, Syntax and Semantics of First Order logic, Using First Order logic, Knowledge Engineering In First-Order Logic...

Key: Exam Priority Concept
Module 5
High Weight

Master the Inference in First Order Logic Backward Chaining, Resolution...

Key: Exam Priority Concept

Professional Career Relevance

AI foundations pave the way for Machine Learning Engineering, Natural Language Processing, and Research roles in OpenAI and DeepMind. Mastering these concepts prepares you for high-demand roles in Data Science, System Architecture, and Technical Leadership in top-tier tech companies.

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