Data Structure (CS-303) - B Tech RGPV AICTE Flexible Curricula Notes -->

Wednesday, March 13, 2019

Data Structure (CS-303)
 B.Tech RGPV notes AICTE flexible curricula Bachelor of technology

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B.Tech RGPV notes AICTE flexible curricula Bachelor of technology

Syllabus

UNIT 1:
Review of C programming language.Introduction to Data Structure: Concepts of Data and Information, Classification of Data structures, Abstract Data Types, Implementation aspects: Memory representation. Data structures operations and its cost estimation. Introduction to linear data structures- Arrays, Linked List: Representation of linked list in memory, different implementation of linked list. Circular linked list, doubly linked list, etc. Application of linked list: polynomial manipulation using linked list, etc.

UNIT 2:
Stacks: Stacks as ADT, Different implementation of stack, multiple stacks. Application of Stack: Conversion of infix to postfix notation using stack, evaluation of postfix expression, Recursion. Queues: Queues as ADT, Different implementation of queue, Circular queue, Concept of Dqueue and Priority Queue, Queue simulation, Application of queues.

UNIT 3:
Tree: Definitions - Height, depth, order, degree etc. Binary Search Tree - Operations, Traversal, Search. AVL Tree, Heap, Applications and comparison of various types of tree; Introduction to forest, multi-way Tree, B tree, B+ tree, B* tree and red-black tree.

UNIT 4:
Graphs: Introduction, Classification of graph: Directed and Undirected graphs, etc, Representation, Graph Traversal: Depth First Search (DFS), Breadth First Search (BFS), Graph algorithm: Minimum Spanning Tree (MST)- Kruskal, Prim’s algorithms. Dijkstra’s shortest path algorithm; Comparison between different graph algorithms. Application of graphs.

UNIT 5:
Sorting: Introduction, Sort methods like: Bubble Sort, Quick sort. Selection sort, Heap sort, Insertion sort, Shell sort, Merge sort and Radix sort; comparison of various sorting techniques. Searching: Basic Search Techniques: Sequential search, Binary search, Comparison of search methods. Hashing & Indexing. Case Study: Application of various data structures in operating system, DBMS etc.


NOTES


Text Books

1. AM Tanenbaum, Y Langsam& MJ Augustein, “Data structure using C and C++”, Prentice Hall India.
2. Robert Kruse, Bruse Leung, “Data structures & Program Design in C”, Pearson Education.


Books Recommended

1. Aho, Hopcroft, Ullman, “Data Structures and Algorithms”, Pearson Education.
2. N. Wirth, “Algorithms + Data Structure = Programs”, Prentice Hall.
3. Jean – Paul Trembly , Paul Sorenson, “An Introduction to Structure with application”, TMH.
4. Richard, GilbergBehrouz, Forouzan ,“Data structure – A Pseudocode Approach with C”, Thomson press.


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