{"id":6213,"date":"2024-04-04T10:11:52","date_gmt":"2024-04-04T10:11:52","guid":{"rendered":"https:\/\/www.inspirenignite.com\/kl\/3343-data-structures-syllabus-for-artificial-intelligence-machine-learning-3rd-sem-2021-revision-sitttr\/"},"modified":"2024-04-04T10:11:52","modified_gmt":"2024-04-04T10:11:52","slug":"3343-data-structures-syllabus-for-artificial-intelligence-machine-learning-3rd-sem-2021-revision-sitttr","status":"publish","type":"post","link":"https:\/\/www.inspirenignite.com\/kl\/3343-data-structures-syllabus-for-artificial-intelligence-machine-learning-3rd-sem-2021-revision-sitttr\/","title":{"rendered":"3343: Data Structures Syllabus for Artificial Intelligence &amp; Machine Learning 3rd Sem 2021 Revision SITTTR"},"content":{"rendered":"<p align=\"justify\">Data Structures detailed syllabus for Artificial Intelligence &amp; Machine Learning (AM) for 2021 revision curriculum has been taken from the <a class=\"rank-math-link\" href=\"http:\/\/www.sitttrkerala.ac.in\/\" style=\"color: inherit\" target=\"_blank\" rel=\"noopener\">SITTTRs<\/a> official website and presented for the Artificial Intelligence &amp; Machine Learning students. For course code, course name, number of credits for a course and other scheme related information,  do visit full semester subjects post given below. <\/p>\n<p align=\"justify\">For Artificial Intelligence &amp; Machine Learning 3rd Sem scheme and its subjects, do visit <a class=\"rank-math-link\" href=\"..\/sitttr-diploma-artificial-intelligence-machine-learning-am-syllabus-for-3rd-sem-2021-revision\">Artificial Intelligence &amp; Machine Learning (AM) 3rd Sem 2021 revision scheme<\/a>. The detailed syllabus of data structures is as follows. <\/p>\n<p><h4>Course Objectives:<\/h4>\n<p id=\"istudy\" style=\"text-align:center\">For the complete syllabus, results, class timetable, and many other features kindly download the <a class=\"rank-math-link\" href=\"https:\/\/play.google.com\/store\/apps\/details?id=ini.istudy\" target=\"_blank\" rel=\"noopener\">iStudy App<\/a><br \/><b> It is a lightweight, easy to use, no images, and no pdfs platform to make students&#8217;s lives easier.<\/b><br \/><a class=\"rank-math-link\" href=\"https:\/\/play.google.com\/store\/apps\/details?id=ini.istudy&amp;pcampaignid=pcampaignidMKT-Other-global-all-co-prtnr-py-PartBadge-Mar2515-1\" target=\"_blank\" rel=\"noopener\"><img decoding=\"async\" src=\"https:\/\/play.google.com\/intl\/en_us\/badges\/static\/images\/badges\/en_badge_web_generic.png\" alt=\"Get it on Google Play\" style=\"height:65px\"><\/a>. <\/p>\n<p><h4>Course Outcomes:<\/h4>\n<p>On completion of the course, the students will be able to:<\/p>\n<ol>\n<li>Illustrate the fundamental concepts of linear data structures stack and queue<\/li>\n<li>Illustrate searching and sorting algorithms and nonlinear data structure linked list<\/li>\n<li>Demonstrate non linear data structures &#8211; Trees<\/li>\n<li>Demonstrate non linear data structures &#8211; Graphs<\/li>\n<\/ol>\n<p><h4>Module 1:<\/h4>\n<p>Advanced C concepts:Concept of Pointers, structures Data Structures: Definition, Classification- Linear Data Structures, Non-Linear Data Structures, Abstract Data Type(ADT) Arrays: Array based sequences, operations-Traverse, insert, delete, search, update Stack: Introduction to Stack ADT &#8211; Array Representation of Stacks &#8211; Operations on a Stack &#8211; Applications of Stacks &#8211; Infix-to-Postfix Conversion. Queues: Introduction to Queue ADT &#8211; Array Representation of Queues &#8211; Operations on a Queue\n<\/p>\n<p><h4>Module 2:<\/h4>\n<p id=\"istudy\" style=\"text-align:center\">For the complete syllabus, results, class timetable, and many other features kindly download the <a class=\"rank-math-link\" href=\"https:\/\/play.google.com\/store\/apps\/details?id=ini.istudy\" target=\"_blank\" rel=\"noopener\">iStudy App<\/a><br \/><b> It is a lightweight, easy to use, no images, and no pdfs platform to make students&#8217;s lives easier.<\/b><br \/><a class=\"rank-math-link\" href=\"https:\/\/play.google.com\/store\/apps\/details?id=ini.istudy&amp;pcampaignid=pcampaignidMKT-Other-global-all-co-prtnr-py-PartBadge-Mar2515-1\" target=\"_blank\" rel=\"noopener\"><img decoding=\"async\" src=\"https:\/\/play.google.com\/intl\/en_us\/badges\/static\/images\/badges\/en_badge_web_generic.png\" alt=\"Get it on Google Play\" style=\"height:65px\"><\/a>. <\/p>\n<p><h4>Module 3:<\/h4>\n<p>Trees: Definition &#8211; Basic Terminologies &#8211; Node, Parent, Child, Link, Root, Leaf, Level, Height of a tree and node, Depth of a tree and node, Degree of a tree and node, sibling, Ancestors, Path, Path Length. Binary Tree-Types of Binary Trees: Full, Complete Representations of a Binary Tree: using Linked List Traversal Algorithms- Inorder, Preorder, Postorder.<br \/>\nBinary Search Tree: Creation-Insertion -Traversal &#8211; Search &#8211; Deletion\n<\/p>\n<p><h4>Module 4:<\/h4>\n<p>Graphs: Terminologies &#8211; Vertex, Edge, Adjacent vertices, Self-loop, Parallel edges, Isolated vertex, Degree of vertex, Pendant vertex, Subgraph, Paths and Cycles. Types of Graphs &#8211; Directed, Undirected, Simple, Complete, Cyclic, Acyclic, Connected. Representation of Graphs &#8211; Set &#8211; Linked &#8211; Matrix Graph Traversals -BFS, DFS\n<\/p>\n<p><h4>Text Books:<\/h4>\n<p id=\"istudy\" style=\"text-align:center\">For the complete syllabus, results, class timetable, and many other features kindly download the <a class=\"rank-math-link\" href=\"https:\/\/play.google.com\/store\/apps\/details?id=ini.istudy\" target=\"_blank\" rel=\"noopener\">iStudy App<\/a><br \/><b> It is a lightweight, easy to use, no images, and no pdfs platform to make students&#8217;s lives easier.<\/b><br \/><a class=\"rank-math-link\" href=\"https:\/\/play.google.com\/store\/apps\/details?id=ini.istudy&amp;pcampaignid=pcampaignidMKT-Other-global-all-co-prtnr-py-PartBadge-Mar2515-1\" target=\"_blank\" rel=\"noopener\"><img decoding=\"async\" src=\"https:\/\/play.google.com\/intl\/en_us\/badges\/static\/images\/badges\/en_badge_web_generic.png\" alt=\"Get it on Google Play\" style=\"height:65px\"><\/a>. <\/p>\n<p><h4>Online Resources<\/h4>\n<ol>\n<li>https:\/\/nptel.ac.in\/courses\/106103069<\/li>\n<li>http:\/\/www.tutorialspoint.com\/cprogramming\/<\/li>\n<li>https:\/\/www.programmingsimplified.com\/c\/data-structures<\/li>\n<li>https:\/\/www.programiz.com\/dsa<\/li>\n<\/li>\n<\/ol>\n<p align=\"justify\">For detailed syllabus of all other subjects of Artificial Intelligence &amp; Machine Learning (AM), 2021 revision curriculum do visit <a class=\"rank-math-link\" href=\"..\/category\/sitttr\/am\">Artificial Intelligence &amp; Machine Learning 3rd Sem subject syllabuses for 2021 revision<\/a>. <\/p>\n<p align=\"justify\">To see the syllabus of all other branches of diploma 2021 revision curriculum do visit <a class=\"rank-math-link\" href=\"https:\/\/www.inspirenignite.com\/kl\/sitttr-syllabus\/\"> SITTTR diploma all branches syllabus.<\/a>. <\/p>\n<p align=\"justify\">To see the results of Artificial Intelligence &amp; Machine Learning (AM) of diploma 2021 revision curriculum do visit <a class=\"rank-math-link\" href=\"https:\/\/www.inspirenignite.com\/kl\/sitttr-results\/\"> SITTTR diploma Artificial Intelligence &amp; Machine Learning (AM) results.<\/a>. <\/p>\n<p align=\"justify\">For all Artificial Intelligence &amp; Machine Learning academic calendars, visit <a class=\"rank-math-link\" href=\"https:\/\/www.inspirenignite.com\/kl\/sitttr-academic-calendar\/\"> Artificial Intelligence &amp; Machine Learning all semesters academic calendar<\/a> direct link. <\/p>\n","protected":false},"excerpt":{"rendered":"<p>Data Structures detailed syllabus for Artificial Intelligence &amp; Machine Learning (AM) for 2021 revision curriculum has been taken from the SITTTRs official website and presented for the Artificial Intelligence &amp; [&hellip;]<\/p>\n","protected":false},"author":2462,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_bbp_topic_count":0,"_bbp_reply_count":0,"_bbp_total_topic_count":0,"_bbp_total_reply_count":0,"_bbp_voice_count":0,"_bbp_anonymous_reply_count":0,"_bbp_topic_count_hidden":0,"_bbp_reply_count_hidden":0,"_bbp_forum_subforum_count":0,"footnotes":""},"categories":[34,66],"tags":[],"class_list":["post-6213","post","type-post","status-publish","format-standard","hentry","category-3rd-sem","category-am"],"_links":{"self":[{"href":"https:\/\/www.inspirenignite.com\/kl\/wp-json\/wp\/v2\/posts\/6213","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.inspirenignite.com\/kl\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.inspirenignite.com\/kl\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.inspirenignite.com\/kl\/wp-json\/wp\/v2\/users\/2462"}],"replies":[{"embeddable":true,"href":"https:\/\/www.inspirenignite.com\/kl\/wp-json\/wp\/v2\/comments?post=6213"}],"version-history":[{"count":0,"href":"https:\/\/www.inspirenignite.com\/kl\/wp-json\/wp\/v2\/posts\/6213\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.inspirenignite.com\/kl\/wp-json\/wp\/v2\/media?parent=6213"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.inspirenignite.com\/kl\/wp-json\/wp\/v2\/categories?post=6213"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.inspirenignite.com\/kl\/wp-json\/wp\/v2\/tags?post=6213"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}