Syllabus Artificial Intelligence - (BC05001011) Total Credits L + T + (PR/2) Assessment Pattern and Marks Total Marks C Theory Tutorial / Practical ESE (E) PA / CA (M) PA / CA (I) ESE (V) 4 70 30 20 30 150 Unit No. Content 1 Introduction : What is AI? The history of AI, the state of the art : what can AI do today? Intelligent agents and environments, The concept of rationality, The nature of environments, The structure of agents. (Chapters - 1, 2) 2 Problem Solving : Problem solving agents : Well defined problems and solutions, formulating problems, Example problems : Toy problems, Real world problems, Searching for solutions, Uniformed search strategies : Breadth-first search, Uniform-cost search, Depth-first search, Depth-limited search, Iterative deepening depth-first search, Bidirectional search, Heuristic search strategies, Hill-climbing search. (Chapters - 3, 4) 3 Knowledge, Reasoning and Planning Knowledge based agents, Propositional logic - A very simple logic, Syntax, Semantics, A Simple Knowledge Base, Syntax and semantics. Syntax and semantics of first order logic, Propositional vs. first order inference, Forward chaining, Backward chaining, Definition of classical planning, Planning graphs, Classical planning approaches, Analysis of planning approaches, Hierarchical planning, Multiagent planning, Ontological engineering, Categories and objects, Events. (Chapters - 5, 6, 7, 8, 9) 4 Learning Forms of learning, Supervised Learning, learning decision trees, Regression and classification with linear models, Practical machine learning, A logical formulation of learning, Explanation based learning, statistical learning, learning with complete data, learning with hidden variables, Passive reinforcement learning, Active reinforcement learning, Application of reinforcement learning, Policy search. (Chapters - 10, 11, 12) 5 AI Plugins and AI-Assisted Development Tools (Basics Only) AI Coding Assistant Plugins : GitHub Copilot - AI powered code completion tool, Works inside IDEs like VS Code. Amazon Q Developer - coding, debugging & AWS cloud development, Provides code suggestions and documentation Gemini Code Assist - AI based code completion and explanation tool. AI Code Explanation and Documentation Tools : Codeium - Free AI coding assistant, Provides code suggestions and explanations Tabnine - Uses machine learning to predict and complete code AI Plugins for Development Environments : Popular IDEs that support AI plugins - Visual Studio Code, PyCharm, IntelliJ IDEA AI Chat and Learning Assistants : ChatGPT - Helps explain programming concepts, Generates code examples Claude - Useful for code explanation and debugging. (Chapters - 13, 14, 15, 16, 17)
