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It structures the AI course content into units covering foundations of artificial intelligence, intelligent agents and environments, rational behavior, and systematic problem-solving with informed and uninformed search strategies, including best-first search and A*/AO* 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prerequisites are listed for B.Tech-AI&DS 23AD81 Introduction to Artificial Intelligence?","Question",{"text":63,"@type":64},"The prerequisite is basic Engineering Mathematics knowledge.","Answer",{"name":66,"@type":61,"acceptedAnswer":67},"What are the course educational objectives for 23AD81 Introduction to Artificial Intelligence?",{"text":68,"@type":64},"The course aims to present an overview of AI principles and approaches, build understanding of AI building blocks (intelligent agents, search, knowledge representation, inference, logic, reasoning, learning), and enable students to implement a small AI system in a team environment.",{"name":70,"@type":61,"acceptedAnswer":71},"Which course outcomes CO1–CO5 are specified for this AI course?",{"text":72,"@type":64},"CO1 covers enumerating the history and foundations of AI, CO2 applies basic AI principles to problem solving, CO3 focuses on searching algorithms to find and optimize solutions, CO4 explains gaming algorithms and the importance of knowledge representation, and CO5 describes predicate logic for knowledge representation in AI.","https://schema.org",{"og:url":32,"og:type":75,"og:title":10,"og:site_name":45,"og:description":12},"article",{"robots":77,"canonical":32},"index,follow",{"doc_id":79,"site_id":7},497278,1791414775,{"code":4,"msg":82,"data":83},"success",[84,88,92,95,100,105,110,115,120,123,127],{"id":22,"doc_module":4,"doc_module_name":25,"category_name":85,"show_sort_weight":86,"slug":87},"Story & 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Name   | Offered to the branches   |\n| --- | --- | --- |\n| 23AD81   | Introduction to Artificial Intelligence   | ASE,CE,ECE,EEE&ME   |\n| 23AD82   | Fundamentals of Data Science   | ASE,CE,ECE,EEE&ME   |\n| 23AD83   | Introduction to Cloud Computing   | ASE,CE,ECE,EEE&ME   |\n| 23AD84   | Data Analytics   | ASE,CE,ECE,EEE&ME   |\n| 23AE81   | PRINCIPLES OF FLIGHT   | AI&DS,CE,CSE,CSE(AI&ML),ECE,EEE,IT&ME   |\n| 23AE82   | SPACE SCIENCE   | AI&DS,CE,CSE,CSE(AI&ML),ECE,EEE,IT&ME   |\n| 23AE83   | AIRCRAFT INSTRUMENTATION   | AI&DS,CE,CSE,CSE(AI&ML),ECE,EEE,IT&ME   |\n| 23AE84   | AIR TRANSPORTATION SYSTEMS   | AI&DS,CE,CSE,CSE(AI&ML),ECE,EEE,IT&ME   |\n| 23AM81   | Python Programming for AI&ML   | ASE,CE,ECE,EEE&ME   |\n| 23AM82   | AI in healthcare   | ASE,CE,ECE,EEE &ME   |\n| 23AM83   | Fundamentals of Machine Learning   | ASE,CE,ECE,EEE&ME   |\n| 23AM84   | Introduction to Deep learning   | ASE,CE,ECE,EEE &ME   |\n| 23CE81   | Disaster Management   | ASE,AI&DS,CSE,CSE(AI&ML),ECE,EEE,IT &ME   |\n| 23CE82   | Climate change impact on Eco system   | ASE,AI&DS,CSE,CSE(AI&ML),ECE,EEE,IT &ME   |\n| 23CE83   | Environmental Sanitation   | ASE,AI&DS,CSE,CSE(AI&ML),ECE,EEE,IT &ME   |\n| 23CE84   | Introduction to Remote Sensing and GIS   | ASE,AI&DS,CSE,CSE(AI&ML),ECE,EEE,IT &ME   |\n| 23CE85   | Water Supply Systems   | ASE,AI&DS,CSE,CSE(AI&ML),ECE,EEE,IT &ME   |\n| 23CE86   | Sustainability in Engineering Practices   | ASE,AI&DS,CSE,CSE(AI&ML),ECE,EEE,IT &ME   |\n| 23CS81   | Introduction to Java Programming   | ASE,CE,ECE,EEE&ME   |\n| 23CS82   | Principles of Operating Systems   | ASE,CE,ECE,EEE&ME   |\n| 23CS83   | Principles of Database Management Systems   | ASE,CE,ECE,EEE&ME   |\n| 23CS83   | Principles of Database Management Systems   | ASE,CE,ECE,EEE&ME   |\n| 23CS84   | IoT based smart Systems   | ASE,CE,ECE,EEE&ME   |\n| 23EC81   | Linear and Digital IC Applications   | ASE,AI&DS,CE,CSE,CSE(AI&ML),EEE,IT&ME   |\n| 23EC82   | Principles of communications   | ASE,AI&DS,CE,CSE,CSE(AI&ML),EEE,IT&ME   |\n| 23EC83   | Fundamentals of VLSI Design   | ASE,AI&DS,CE,CSE,CSE(AI&ML),EEE,IT &ME   |\n| 23EC84   | Principles of Cellular &Mobile communications   | ASE,AI&DS,CE,CSE,CSE(AI&ML),EEE,IT &ME   |\n| 23EC85   | Fundamentals of Satellite Communications   | ASE,AI&DS,CE,CSE,CSE(AI&ML),EEE,IT&ME   |\n\n# LAKIREDDYBALI REDDY COLLEGE OFENGINEERING(AUTONOMOUS)\n\n\n| Course Code   | Course Name   | Offered to the branches   |\n| --- | --- | --- |\n| 23EE81   | Basic Control System   | ASE,AI&DS,CE,CSE,CSE(AI&ML),ECE,IT &ME   |\n| 23EE82   | Basic Electrical Measurements   | ASE,AI&DS,CE,CSE,CSE(AI&ML),ECE,IT &ME   |\n| 23EE83   | Utilization of Electrical Energy   | ASE,AI&DS,CE,CSE,CSE(AI&ML),ECE,IT &ME   |\n| 23EE84   | Electric Vehicles   | ASE,AI&DS,CE,CSE,CSE(AI&ML),ECE,IT &ME   |\n| 23EE85   | Concepts of Energy Auditing&Management   | ASE,AI&DS,CE,CSE,CSE(AI&ML),ECE,IT&ME   |\n| 23EE86   | Electrical Wiring Estimation and Costing   | ASE,AI&DS,CE,CSE,CSE(AI&ML),ECE,IT&ME   |\n| 23IT81   | Computer System Architecture   | ASE,CE,ECE,EEE&ME   |\n| 23IT82   | Introduction to Programming in Java   | ASE,CE,ECE,EEE&ME   |\n| 23IT83   | Principles of Software Engineering   | ASE,CE,ECE,EEE&ME   |\n| 23ME81   | Sustainable Energy Technologies   | ASE,AI&DS,CE,CSE,CSE(AI&ML),ECE,EEE&IT   |\n| 23ME82   | Introduction to Industrial Robotics   | ASE,AI&DS,CE,CSE,CSE(AI&ML),ECE,EEE&IT   |\n| 23ME83   | Applied Operations Research   | ASE,AI&DS,CE,CSE,CSE(AI&ML),ECE,EEE&IT   |\n| 23ME84   | Entrepreneurship   | ASE,AI&DS,CE,CSE,CSE(AI&ML),ECE,EEE&IT   |\n| 23ME85   | Additive Manufacturing   | ASE,AI&DS,CE,CSE,CSE(AI&ML),ECE,EEE&IT   |\n| 23ME86   | Vehicle Technology   | ASE,AI&DS,CE,CSE,CSE(AI&ML),ECE,EEE&IT   |\n\nLAKIREDDYBALI REDDY COLLEGEOFENGINEERING(AUTONOMOUS),MYLAVARAM  \n\n| L   | T   | P   | Cr.   |\n| --- | --- | --- | --- |\n| 3   | 0   | 0   | 3   |\n\nB.Tech-AI&DS 23AD81-INTRODUCTI","cbCaih513mQx2Wfv","https://ap.wps.com/l/cbCaih513mQx2Wfv","pdf",4531982,78,"English","# Open Electives Course List\n## Artificial Intelligence and Data Science electives\n## Engineering electives\n# B.Tech-AI&DS 23AD81: Introduction to Artificial Intelligence\n## Pre-requisite\n## Course Educational Objective\n## Course Outcomes\n## UNIT I\n## UNIT II\n## UNIT III","[{\"question\":\"What prerequisites are listed for B.Tech-AI\\u0026DS 23AD81 Introduction to Artificial Intelligence?\",\"answer\":\"The prerequisite is basic Engineering Mathematics knowledge.\"},{\"question\":\"What are the course educational objectives for 23AD81 Introduction to Artificial Intelligence?\",\"answer\":\"The course aims to present an overview of AI principles and approaches, build understanding of AI building blocks (intelligent agents, search, knowledge representation, inference, logic, reasoning, learning), and enable students to implement a small AI system in a team environment.\"},{\"question\":\"Which course outcomes CO1–CO5 are specified for this AI course?\",\"answer\":\"CO1 covers enumerating the history and foundations of AI, CO2 applies basic AI principles to problem solving, CO3 focuses on searching algorithms to find and optimize solutions, CO4 explains gaming algorithms and the importance of knowledge representation, and CO5 describes predicate logic for knowledge representation in AI.\"}]","Open Electives - Course List and AI&DS Course Syllabus | PDF",1790951211,197]