BCAI501 Artificial Intelligence Syllabus
AKTU B.Tech · 5th Semester · Unit-wise syllabus (effective 2024-25)
BCAI501 Artificial Intelligence (also written as KCAI501) is a subject in Semester 5 of the AKTU B.Tech programme, prescribed by Dr. A.P.J. Abdul Kalam Technical University. The syllabus is divided into 5 units: INTRODUCTION, PROBLEM SOLVING METHODS, KNOWLEDGE REPRESENTATION, SOFTWARE AGENTS, APPLICATIONS. The complete unit-wise topic list, course outcomes and reference books are given below, taken from the official AKTU syllabus effective from 2024-25.
BCAI501 Subject Details
| Subject Code | BCAI501 / KCAI501 |
|---|---|
| Subject Name | Artificial Intelligence |
| University | Dr. A.P.J. Abdul Kalam Technical University (AKTU) |
| Course | B.Tech (Bachelor of Technology) |
| Year / Semester | 3rd Year · 5th Semester |
| Total Units | 5 |
| Scheme Effective From | 2024-25 |
| Last Verified | 2026-08-19 |
BCAI501 Artificial Intelligence Unit-Wise Syllabus
Official AKTU syllabus (effective 2024-25) — 5 units.
Unit 1: INTRODUCTION
INTRODUCTION: Introduction–Definition – Future of Artificial Intelligence – Characteristics of Intelligent Agents– Typical Intelligent Agents – Problem Solving Approach to Typical AI problems.
Unit 2: PROBLEM SOLVING METHODS
PROBLEM SOLVING METHODS: Problem solving Methods – Search Strategies- Uninformed – Informed – Heuristics – Local Search Algorithms and Optimization Problems – Searching with Partial Observations – Constraint Satisfaction Problems – Constraint Propagation – Backtracking Search – Game Playing – Optimal Decisions in Games – Alpha – Beta Pruning – Stochastic Games
Unit 3: KNOWLEDGE REPRESENTATION
KNOWLEDGE REPRESENTATION: First Order Predicate Logic – Prolog Programming – Unification – Forward Chaining-Backward Chaining – Resolution – Knowledge Representation – Ontological Engineering-Categories and Objects – Events – Mental Events and Mental Objects – Reasoning Systems for Categories – Reasoning with Default Information
Unit 4: SOFTWARE AGENTS
SOFTWARE AGENTS: Architecture for Intelligent Agents – Agent communication – Negotiation and Bargaining – Argumentation among Agents – Trust and Reputation in Multi-agent systems.
Unit 5: APPLICATIONS
APPLICATIONS: AI applications – Language Models – Information Retrieval- Information Extraction – Natural Language Processing – Machine Translation – Speech Recognition – Robot – Hardware – Perception – Planning – Moving
BCAI501 Course Outcomes
- CO 1 At the end of course, the student will be able to understand K2
- CO 2 Understand the basics of the theory and practice of Artificial Intelligence as a discipline and
- CO 3 about intelligent agents. K2, K3
- CO 4 Understand search techniques and gaming theory. K3, K4
- CO 5 The student will learn to apply knowledge representation techniques and problem-solving
- strategies to common AI applications. K2, K3
- Student should be aware of techniques used for classification and clustering. K2, K4
- 3-0-0
- Student should aware of basics of pattern recognition and steps required for it.
BCAI501 Reference Books
- S. Russell and P. Norvig, “Artificial Intelligence: A Modern Approach‖, Prentice Hall, Third Edition, 2009.
- I. Bratko, ―Prolog: Programming for Artificial Intelligence‖, Fourth edition, Addison-Wesley Educational
- M. Tim Jones, ―Artificial Intelligence: A Systems Approach (Computer Science) ‖, Jones and Bartlett Publishers,
- Nils J. Nilsson, ―The Quest for Artificial Intelligence‖, Cambridge University Press, 2009.
- William F. Clocksin and Christopher S. Mellish, ‖ Programming in Prolog: Using the ISO Standard‖, Fifth Edition,
- Gerhard Weiss, ―Multi Agent Systems‖, Second Edition, MIT Press, 2013.
- David L. Poole and Alan K. Mackworth, ―Artificial Intelligence: Foundations of Computational Agents‖,
Frequently Asked Questions about BCAI501
What is the syllabus of BCAI501 Artificial Intelligence?
The AKTU BCAI501 Artificial Intelligence syllabus is divided into 5 units: INTRODUCTION; PROBLEM SOLVING METHODS; KNOWLEDGE REPRESENTATION; SOFTWARE AGENTS; APPLICATIONS. The complete topic list for each unit is published on this page, taken from the official Dr. A.P.J. Abdul Kalam Technical University syllabus effective from 2024-25.
How many units are there in BCAI501?
BCAI501 Artificial Intelligence has 5 units in the AKTU syllabus.
Is BCAI501 the same subject as KCAI501?
Yes. AKTU renumbered its B.Tech subject codes from the 2022-23 session onwards, so the same subject appears as BCAI501 and KCAI501 depending on the scheme year. The syllabus content is the same.
Which semester is BCAI501 taught in?
BCAI501 Artificial Intelligence is taught in Semester 5 of the 3rd year of the AKTU B.Tech programme.
Where can I download BCAI501 previous year question papers?
AKTU B.Tech previous year question papers for every semester are available to download free on Ryzenstudy, with no login or registration required.
Is this the official AKTU syllabus for BCAI501?
Yes. Every topic on this page is taken from the official Dr. A.P.J. Abdul Kalam Technical University syllabus document (AKTU B.Tech 3rd Year Artificial Intelligence & Data Science Syllabus), effective from 2024-25. A direct link to the original AKTU PDF is provided at the top of this page. Last verified on 2026-08-19.
Related AKTU Syllabus
Source: Dr. A.P.J. Abdul Kalam Technical University official syllabus — AKTU B.Tech 3rd Year Artificial Intelligence & Data Science Syllabus, effective from 2024-25. Ryzenstudy is not affiliated with AKTU. Content last verified on 2026-08-19.