{"id":7028,"date":"2019-12-14T16:50:00","date_gmt":"2019-12-14T16:50:00","guid":{"rendered":"https:\/\/www.inspirenignite.com\/vtu\/data-structures-and-applications-is-3rd-sem-syllabus-for-vtu-be-2017-scheme\/"},"modified":"2019-12-14T16:50:00","modified_gmt":"2019-12-14T16:50:00","slug":"data-structures-and-applications-is-3rd-sem-syllabus-for-vtu-be-2017-scheme","status":"publish","type":"post","link":"https:\/\/www.inspirenignite.com\/vtu\/data-structures-and-applications-is-3rd-sem-syllabus-for-vtu-be-2017-scheme\/","title":{"rendered":"Data Structures and Applications IS 3rd Sem Syllabus for VTU BE 2017 Scheme"},"content":{"rendered":"

Data Structures and Applications detail syllabus for Information Science Engineering (Is), 2017 scheme is taken from VTU<\/a> official website and presented for VTU students. The course code (17CS33), and for exam duration, Teaching Hr\/week, Practical Hr\/week, Total Marks, internal marks, theory marks, duration and credits do visit complete sem subjects post given below.<\/p>\n

For all other is 3rd sem syllabus for be 2017 scheme vtu you can visit IS 3rd Sem syllabus for BE 2017 Scheme VTU Subjects<\/a>. The detail syllabus for data structures and applications is as follows.<\/p>\n

Module 1\t\t\t\t<\/h4>\n

Introduction: Data Structures, Classifications (Primitive & Non Primitive), Data structure Operations, Review of Arrays, Structures, Self-Referential Structures, and Unions. Pointers and Dynamic Memory Allocation Functions. Representation of Linear Arrays in Memory, Dynamically allocated arrays, Array Operations: Traversing, inserting, deleting, searching, and sorting. Multidimensional Arrays, Polynomials and Sparse Matrices. Strings: Basic Terminology, Storing, Operations and Pattern Matching algorithms. Programming Examples. Text 1: Ch 1: 1.2, Ch2: 2.2 -2.7 Text 2: Ch 1: 1.1 -1.4, Ch 3: 3.1-3.3,3.5,3.7, Ch 4: 4.1-4.9,4.14 Ref 3: Ch 1: 1.4\n<\/p>\n

Module 2
\nFor complete syllabus and results, class timetable and more pls download iStudy<\/a>. Its a light weight, easy to use, no images, no pdfs platform to make students life easier.<\/p>\n

Module 3
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Linked Lists: Definition, Representation of linked lists in Memory, Memory allocation; Garbage Collection. Linked list operations: Traversing, Searching, Insertion, and Deletion. Doubly Linked lists, Circular linked lists, and header linked lists. Linked Stacks and Queues. Applications of Linked lists – Polynomials, Sparse matrix representation. Programming Examples Text 1: Ch4: 4.1 -4.8 except 4.6 Text 2: Ch5: 5.1 – 5.10\n<\/p>\n

Module 4
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Trees: Terminology, Binary Trees, Properties of Binary trees, Array and linked Representation of Binary Trees, Binary Tree Traversals – Inorder, postorder, preorder; Additional Binary tree operations. Threaded binary trees, Binary Search Trees – Definition, Insertion, Deletion, Traversal, Searching, Application of Trees-Evaluation of Expression, Programming Examples Text 1: Ch5: 5.1 -5.5, 5.7 Text 2: Ch7: 7.1 – 7.9\n<\/p>\n

Module 5
\nFor complete syllabus and results, class timetable and more pls download iStudy<\/a>. Its a light weight, easy to use, no images, no pdfs platform to make students life easier.<\/p>\n

Course Outcomes:<\/h4>\n

After studying this course, students will be able to:\t<\/p>\n