#11
8th December 2014, 09:53 AM
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Re: M.Tech syllabus for computer science in JNTU
[QUOTE=Shaleen;37449]The JNTU offers M.Tech. (Computer Science & Engineering). Here are name of the papers: Design and Analysis of Algorithms Computer Organization Computer Communications Operating System |
#12
5th January 2015, 12:26 PM
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syllbus copy M-tech
I want syllbus copy for M-tech in computer science&engineering
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#13
5th January 2015, 12:32 PM
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Re: M.Tech syllabus for computer science in JNTU
I want M-tech syllbus copy for cse.please give me immediatly.
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#14
6th July 2015, 04:47 PM
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Mtech 2nd sem subjecte names cse
Mtech 2nd sem subjecte names cse
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#15
10th July 2015, 12:09 PM
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i want m.tech cse sylabus copy
i want m.tech c.s.e 2nd sem sylabus copy
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#16
24th September 2015, 10:50 AM
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Re: M.Tech syllabus for computer science in JNTU
i want m.tech 2nd sem syllabus for cse in 2014-15 year
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#17
2nd November 2015, 10:43 AM
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Re: M.Tech syllabus for computer science in JNTU
I want syllabus copy for m.tech computer science engineering 2015-2016
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#18
18th August 2017, 09:20 AM
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Re: M.Tech syllabus for computer science in JNTU
I want 1st year syllabus of JNTU M.Tech computer science course. Please give me the syllabus.[/QUOTE]
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#19
16th September 2019, 11:12 AM
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Re: M.Tech syllabus for computer science in JNTU
Hi buddy I want to collect Jawaharlal Nehru Technological University (JNTU) Hyderabad M.Tech computer science syllabus , so would you plz let me know from where I can collect it ??
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#20
16th September 2019, 11:14 AM
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Re: M.Tech syllabus for computer science in JNTU
As you want here I am giving bellow Jawaharlal Nehru Technological University (JNTU) Hyderabad M.Tech computer science syllabus on your demand : I YEAR I SEMESTER Subject Code: CS1C10 DATA STRUCTURES AND ALGORITHMS (CORE I) Objectives: The fundamental design, analysis, and implementation of basic data structures. Basic concepts in the specification and analysis of programs. Principles for good program design, especially the uses of data abstraction. Significance of algorithms in the computer field Various aspects of algorithm development Qualities of a good solution UNIT I Algorithms, Performance analysis- time complexity and space complexity, Asymptotic NotationBig Oh, Omega and Theta notations, Complexity Analysis Examples. Data structures-Linear and non linear data structures, ADT concept, Linear List ADT, Array representation, Linked representation, Vector representation, singly linked lists -insertion, deletion, search operations, doubly linked lists-insertion, deletion operations, circular lists. Representation of single, two dimensional arrays, Sparse matrices and their representation. UNIT II Stack and Queue ADTs, array and linked list representations, infix to postfix conversion using stack, implementation of recursion, Circular queue-insertion and deletion, Dequeue ADT, array and linked list representations, Priority queue ADT, implementation using Heaps, Insertion into a Max Heap, Deletion from a Max Heap, java.util package-ArrayList, Linked List, Vector classes, Stacks and Queues in java.util, Iterators in java.util. UNIT III SearchingLinear and binary search methods, Hashing-Hash functions, Collision Resolution methods-Open Addressing, Chaining, Hashing in java.util-HashMap, HashSet, Hashtable. Sorting Bubble sort, Insertion sort, Quick sort, Merge sort, Heap sort, Radix sort, comparison of sorting methods. UNIT IV Trees- Ordinary and Binary trees terminology, Properties of Binary trees, Binary tree ADT, representations, recursive and non recursive traversals, Java code for traversals, Threaded binary trees.Graphs- Graphs terminology, Graph ADT, representations, graph traversals/search methods-dfs and bfs, Java code for graph traversals, Applications of Graphs-Minimum cost spanning tree using Kruskal’s algorithm, Dijkstra’s algorithm for Single Source Shortest Path Problem UNIT V Search trees- Binary search tree-Binary search tree ADT, insertion, deletion and searching operations, Balanced search trees, AVL trees-Definition and examples only, Red Black trees Definition and examples only, B-Trees-definition, insertion and searching operations, Trees in java.util- TreeSet, Tree Map Classes, Tries(examples only),Comparison of Search trees. Text compression-Huffman coding and decoding, Pattern matching-KMP algorithm. |
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