{"id":7037,"date":"2019-12-14T16:50:06","date_gmt":"2019-12-14T16:50:06","guid":{"rendered":"https:\/\/www.inspirenignite.com\/vtu\/design-and-analysis-of-algorithms-is-4th-sem-syllabus-for-vtu-be-2017-scheme\/"},"modified":"2019-12-14T16:50:06","modified_gmt":"2019-12-14T16:50:06","slug":"design-and-analysis-of-algorithms-is-4th-sem-syllabus-for-vtu-be-2017-scheme","status":"publish","type":"post","link":"https:\/\/www.inspirenignite.com\/vtu\/design-and-analysis-of-algorithms-is-4th-sem-syllabus-for-vtu-be-2017-scheme\/","title":{"rendered":"Design and Analysis of Algorithms IS 4th Sem Syllabus for VTU BE 2017 Scheme"},"content":{"rendered":"

Design and Analysis of Algorithms detail syllabus for Information Science Engineering (Is), 2017 scheme is taken from VTU<\/a> official website and presented for VTU students. The course code (17CS43), 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 4th sem syllabus for be 2017 scheme vtu you can visit IS 4th Sem syllabus for BE 2017 Scheme VTU Subjects<\/a>. The detail syllabus for design and analysis of algorithms is as follows.<\/p>\n

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

Introduction: What is an Algorithm? (T2:1.1), Algorithm Specification (T2:1.2), Analysis Framework (T1:2.1), Performance Analysis: Space complexity, Time complexity (T2:1.3). Asymptotic Notations: Big-Oh notation (O), Omega notation (Q), Theta notation (Q), and Little-oh notation (o), Mathematical analysis of Non-Recursive and recursive Algorithms with Examples (T1:2.2, 2.3, 2.4). Important Problem Types: Sorting, Searching, String processing, Graph Problems, Combinatorial Problems. Fundamental Data Structures: Stacks, Queues, Graphs, Trees, Sets and Dictionaries. (T1:1.3,1.4.\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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Greedy Method: General method, Coin Change Problem, Knapsack Problem, Job sequencing with deadlines (T2:4.1, 4.3, 4.5). Minimum cost spanning trees: Prim’s Algorithm, Kruskal’s Algorithm (T1:9.1, 9.2). Single source shortest paths: Dijkstra’s Algorithm (T1:9.3). Optimal Tree problem: Huffman Trees and Codes (T1:9.4). Transform and Conquer Approach: Heaps and Heap Sort (T1:6.4).\n<\/p>\n

Module 4
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Dynamic Programming: General method with Examples, Multistage Graphs (T2:5.1, 5.2). Transitive Closure: Warshall’s Algorithm, All Pairs Shortest Paths: Floyd’s Algorithm, Optimal Binary Search Trees, Knapsack problem ((T1:8.2, 8.3, 8.4), Bellman-Ford Algorithm (T2:5.4), Travelling Sales Person problem (T2:5.9), Reliability design (T2:5.8).\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\t\t\t<\/p>\n