Engineering Course Materials
B.Tech – Artificial Intelligence and Data Science
This lab course provides hands-on experience in building intelligent systems using key AI techniques. Students will implement intelligent agents, search
Continue readingU24AD311 – ARTIFICIAL INTELLIGENCE | Lab Syllabus
This course introduces the fundamentals of Artificial Intelligence, focusing on intelligent agents, problem-solving, and decision-making techniques. Students will explore search
Continue readingU24AD301 – ARTIFICIAL INTELLIGENCE | Subject Syllabus
Unit 5 focuses on Probabilistic Reasoning, a fundamental AI approach for dealing with uncertainty. It begins by explaining uncertainty in
Continue readingU24AD301 – ARTIFICIAL INTELLIGENCE | Unit5 Notes
Unit 4 explores Knowledge-Based Agents and Logical Reasoning in AI. It begins by defining knowledge-based agents – comprising a knowledge base
Continue readingU24AD301 – ARTIFICIAL INTELLIGENCE | Unit4 Notes
Unit 3 delves into Game Playing and Constraint Satisfaction Problems (CSP), essential topics in Artificial Intelligence. It begins with the
Continue readingU24AD301 – ARTIFICIAL INTELLIGENCE | Unit3 Notes
Unit 2 focuses on Heuristic Search Strategies in Artificial Intelligence, exploring various methods that aim for efficient problem-solving under time
Continue readingU24AD301 – ARTIFICIAL INTELLIGENCE | Unit2 Notes
The Unit 1 notes on Artificial Intelligence provide a comprehensive introduction to AI, covering its definition, importance, and goals. It
Continue readingU24AD301 – ARTIFICIAL INTELLIGENCE | Unit1 Notes
Multivariate analysis examines more than two variables simultaneously to understand complex relationships and interactions among them. Time series analysis focuses
Continue readingUNIT V- MULTIVARIATE AND TIME SERIES ANALYSIS- SUBJECT NOTES
Bivariate analysis involves studying the relationship between two variables to understand how they are associated or correlated. It uses techniques
Univariate analysis is the examination of a single variable to understand its distribution, central tendency, and spread.It uses techniques like
Continue readingUNIT – III UNIVARIATE ANALYSIS- SUBJECT NOTES