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Computer Science and Engineering (AI & ML) Course Structure & I Year to IV Year Syllabus","","Course structure and syllabus for B.Tech. in Computer Science and Engineering (AI & ML) under JAWAHARLAL NEHRU TECHNOLOGICAL UNIVERSITY HYDERABAD, applicable from the AY 2022-23 batch. Covers curriculum organization across I year to IV year semesters and lists open and professional elective offerings, including Fundamentals of AI, Machine Learning Basics, NLP, Chatbots, Genetic Algorithms, Fuzzy logic, and related guidance. Includes detailed unit-wise outlines for core subjects such as Matrices and Calculus and Engineering Chemistry, specifying learning objectives, outcomes, and assessment notes.",{"@graph":63,"@context":119},[64,80,102],{"@type":65,"itemListElement":66},"BreadcrumbList",[67,71,74,77],{"item":68,"name":69,"@type":70,"position":9},"https://docshare.wps.com","Home","ListItem",{"item":72,"name":10,"@type":70,"position":73},"https://docshare.wps.com/template/",2,{"item":75,"name":46,"@type":70,"position":76},"https://docshare.wps.com/template/paper-templates/",3,{"item":78,"name":59,"@type":70,"position":79},"https://docshare.wps.com/template/applicable-from-ay-2022-23-batch-btech-computer-science-and-engineering-ai-ml-course-structure-i-year-to-iv-year-syllabus/176756/",4,{"url":78,"name":59,"@type":81,"image":82,"author":87,"headline":59,"publisher":90,"fileFormat":93,"inLanguage":57,"description":61,"dateModified":94,"datePublished":95,"encodingFormat":93,"isAccessibleForFree":96,"interactionStatistic":97},"DigitalDocument",{"url":83,"@type":84,"width":85,"height":86},"https://docshare.wps.com/thumbnails/applicable-from-ay-2022-23-batch-btech-computer-science-and-engineering-ai-ml-course-structure-i-year-to-iv-year-syllabus/176756.png","ImageObject",442,249,{"name":88,"@type":89},"Jordan Avery","Person",{"url":68,"name":91,"@type":92},"DocShare","Organization","application/vnd.openxmlformats-officedocument.wordprocessingml.document","2026-10-14","2026-09-02",true,{"@type":98,"interactionType":99,"userInteractionCount":101},"InteractionCounter",{"@type":100},"ViewAction",6,{"@type":103,"mainEntity":104},"FAQPage",[105,111,115],{"name":106,"@type":107,"acceptedAnswer":108},"What electives are listed under Open Electives for the AI & ML program?","Question",{"text":109,"@type":110},"Open Electives include Fundamentals of AI, Machine Learning Basics, Introduction to Natural Language Processing (with AI applications), Chatbots, and Genetic Algorithms & Fuzzy logic.","Answer",{"name":112,"@type":107,"acceptedAnswer":113},"What topics are covered in the Matrices and Calculus course units?",{"text":114,"@type":110},"Units cover matrices and their rank, eigenvalues and eigenvectors with diagonalization, calculus including mean value theorems and Taylor’s series, multivariable calculus with partial differentiation and Lagrange multipliers, and integration for double/triple integrals with applications.",{"name":116,"@type":107,"acceptedAnswer":117},"Which core syllabus details are specified for Engineering Chemistry?",{"text":118,"@type":110},"Engineering Chemistry includes course objectives and course outcomes, followed by unit-wise themes starting with Water and its treatment (including hardness of water) and further engineering chemistry concepts.","https://schema.org",{"og:url":78,"og:type":121,"og:title":59,"og:site_name":91,"og:description":61},"article",{"robots":123,"canonical":78},"index,follow",{"doc_id":125,"site_id":56},176756,1790292718,{"code":4,"msg":5,"data":128},{"doc_id":125,"user_id":129,"nickname":88,"user_avatar":130,"doc_module":9,"category_id":45,"category_name":46,"doc_title":59,"doc_description":61,"doc_content":131,"file_id":132,"file_url":133,"file_type":134,"file_size":135,"view_count":101,"is_deleted":4,"is_public":9,"is_downloadable":9,"audit_status":9,"page_count":136,"language":137,"language_code":57,"site_id":56,"html_lang":57,"table_of_contents":138,"faqs":139,"seo_title":140,"seo_description":61,"update_tm":141,"read_time":142},1099523882367,"https://ap-avatar.wpscdn.com/davatar_9964176cb1d06d4a9deccf72a44ae3dc","\u000f\n\u000f\nJAWAHARLAL NEHRU TECHNOLOGICAL UNIVERSITY HYDERABAD\nB.Tech. in COMPUTER SCIENCE AND ENGINEERING (AI & ML)\nCOURSE STRUCTURE, I & II YEAR SYLLABUS (R22 Regulations)\nApplicable from AY 2022-23 Batch\nI YEAR I SEMESTER\nI YEAR IISEMESTER\nII YEAR I SEMESTER\n\u000f\nYEAR II SEMESTER\nYEAR I SEMESTER\nYEAR II SEMESTER\nEnvironmental Science in III Yr II Sem Should be Registered by Lateral Entry Students Only.\nIV YEAR I SEMESTER\nIV YEAR II SEMESTER\n*MC – Satisfactory/Unsatisfactory\nProfessional Elective-I\nProfessional Elective - II\nProfessional Elective - III\n# Courses in PE - III and PE - III Lab must be in 1-1 correspondence.\nProfessional Elective -IV\nProfessional Elective - V\nProfessional Elective – VI\nOpen Elective I:\nFundamentals of AI\nMachine Learning Basics\nOpen Elective II:\nIntroduction to Natural Language Processing\nAI applications\nOpen Elective III:\nChatbots\nGenetic Algorithms & Fuzzy logic\n\u000f\nMATRICES AND CALCULUS\nB.Tech. I Year I Sem.  \t \t \t \t \t \tL   T   P   C\n3   1   0    4\nPre-requisites: Mathematical Knowledge at pre-university level\nCourse Objectives: To learn\nTypes of matrices and their properties.\nConcept of a rank of the matrix and applying this concept to know the consistency and solving the system of linear equations.\nConcept of eigenvalues and eigenvectors and to reduce the quadratic form to canonical form\nGeometrical approach to the mean value theorems and their application to the mathematical problems\nEvaluation of surface areas and volumes of revolutions of curves.\nEvaluation of improper integrals using Beta and Gamma functions.\nPartial differentiation, concept of total derivative\nFinding maxima and minima of function of two and three variables.  \tEvaluation of multiple integrals and their applications\nCourse outcomes: After learning the contents of this paper the student must be able to\nWrite the matrix representation of a set of linear equations and to analyse the solution of the system of equations\nFind the Eigenvalues and Eigen vectors\nReduce the quadratic form to canonical form using orthogonal transformations.\nSolve the applications on the mean value theorems.\nEvaluate the improper integrals using Beta and Gamma functions\nFind the extreme values of functions of two variables with/ without constraints.\nEvaluate the multiple integrals and apply the concept to find areas, volumes\nUNIT - I: Matrices \t \t \t \t \t \t \t \t \t10 L\nRank of a matrix by Echelon form and Normal form, Inverse of Non-singular matrices by Gauss-Jordan method, System of linear equations: Solving system of Homogeneous and Non-Homogeneous equations by Gauss elimination method, Gauss Seidel Iteration Method.\nUNIT - II: Eigen values and Eigen vectors \t \t \t \t \t \t10 L\nLinear Transformation and Orthogonal Transformation: Eigenvalues, Eigenvectors and their properties, Diagonalization of a matrix, Cayley-Hamilton Theorem (without proof), finding inverse and power of a matrix by Cayley-Hamilton Theorem, Quadratic forms and Nature of the Quadratic Forms, Reduction of Quadratic form to canonical forms by Orthogonal Transformation.\nUNIT - III: Calculus  \t \t \t \t \t \t \t \t \t10 L\nMean value theorems: Rolle’s theorem, Lagrange’s Mean value theorem with their Geometrical Interpretation and applications, Cauchy’s Mean value Theorem, Taylor’s Series.\nApplications of definite integrals to evaluate surface areas and volumes of revolutions of curves (Only in Cartesian coordinates), Definition of Improper Integral: Beta and Gamma functions and their applications.\nUNIT - IV: Multivariable Calculus (Partial Differentiation and applications) \t \t10 L Definitions of Limit and continuity.\nPartial Differentiation: Euler’s Theorem, Total derivative, Jacobian, Functional dependence & independence. Applications: Maxima and minima of functions of two variables and three variables using method of Lagrange multipliers.\nUNIT-V: Multivariable Calculus (Integration)   \t \t \t \t \t \t8 L\nEvaluation of Double Integrals (Cartesian and polar coordinates), change of order of integration (only Carte","cbCaim41LKFJTiR1","https://ap.wps.com/l/cbCaim41LKFJTiR1","docx",645055,71,"English","# B.Tech Computer Science and Engineering (AI & ML) - Course Structure & Syllabus\n## Applicable from AY 2022-23 Batch\n## Professional and Open Electives\n## Matrices and Calculus\n## Engineering Chemistry","[{\"question\":\"What electives are listed under Open Electives for the AI \\u0026 ML program?\",\"answer\":\"Open Electives include Fundamentals of AI, Machine Learning Basics, Introduction to Natural Language Processing (with AI applications), Chatbots, and Genetic Algorithms \\u0026 Fuzzy logic.\"},{\"question\":\"What topics are covered in the Matrices and Calculus course units?\",\"answer\":\"Units cover matrices and their rank, eigenvalues and eigenvectors with diagonalization, calculus including mean value theorems and Taylor’s series, multivariable calculus with partial differentiation and Lagrange multipliers, and integration for double/triple integrals with applications.\"},{\"question\":\"Which core syllabus details are specified for Engineering Chemistry?\",\"answer\":\"Engineering Chemistry includes course objectives and course outcomes, followed by unit-wise themes starting with Water and its treatment (including hardness of water) and further engineering chemistry concepts.\"}]","Applicable from AY 2022-23 Batch - B.Tech. Computer Science and Engineering (AI & ML) Course Structure & I Year to IV Year Syllabus | DOCX",1788325450,25]