Course ObjectivesCourse ObjectivesCourse Objectives The basic objectives of this course is * To understand the basic concept of Al, strength and weakness of problem solving and search * To study about various heuristic and game search algorithms * To know about basic concepts of knowledge and reasoning, NLP and Machine Learning * To know about various Expert System tools and applications * To know expert system tools and applications Link to original note: Honours - Artificial Intelligences and Machine Learning

Course OutcomesCourse OutcomesCourse Outcomes On completion of the course, learner will be able to * Evaluate Artificial Intelligence (Al) methods and describe their foundations. * Analyze and illustrate how search algorithms play vital role in problem solving, inference, perception, knowledge representation and learning * Demonstrate knowledge of reasoning and knowledge representation for solving real world problems * Illustrate the construction of learning and expert system * Discuss current scope and limitations of AI a

Course ContentsCourse ContentsCourse Contents Unit I - Introduction to AI Definitions - Foundation and History of Al, Evolution of Al - Applications of Al, Classification of Al systems with respect to environment. Artificial Intelligence vs Machine learning, Statistical Analysis: Relationship between attributes: Covariance, Correlation Coefficient, Chi Square. Intelligent Agent: Concept of Rationality, nature of environment, structure of agents. Unit Il - Problem Solving Heuristic Search Techniques: Generate-and-Test; Hi

AI-NotesAI-NotesMy Notes Unit I - Introduction to AI Unit Il - Problem Solving Unit III - Knowledge and Reasoning Unit - IV Learning Unit V - Game Unit VI - Expert Systems Link to original note: Honours - Artificial Intelligences and Machine Learning

Learning ResourcesLearning ResourcesLearning Resources Text Books * Russell, S. and Norvig, P. 2015. Artificial Intelligence - A Modern Approach, 3rd edition, Prentice Hall * Machine, Aries realisence: At eid lishing Pr um, artificial, inelligence, Reference Books * Introduction to Artificial Intelligence & Expert Systems, Dan W Patterson, PHI.,2010 2. S Kaushik, Artificial Intelligence, Cengage Learning, 1st ed.2011 * Ric, E., Knight, K and Shankar, B. 2009. Artificial Intelligence, 3rd edition, Tata McGraw Hill. * Luger, G.F