RGTU/RGPV MCA-203 Data Structure(DS) Syllabus MCA 2nd sem Data Structure(DS) Sylabusl

RGTU/RGPV MCA-203 Data Structure(DS) Syllabus
MCA 2nd Sem Data Structure(DS) Syllabus
MCA 2nd - Second Semester Syllabus

MCA-203 Data Structure(DS) Course Contents:

Prerequisites: Array, Structure, pointers, pointer to structure, functions, parameter passing, recursion.
 
UNIT-I
Stack and Queue:
contiguous implementations of stack, various operations on stack, various polish notations-infix, prefix, postfix, conversion from one to another-using stack; evaluation of post and prefix expressions. Contiguous implementation of queue: Linear queue, its drawback; circular queue; various operations on queue; linked implementation of stack and queue- operations

UNIT-II
General List:
list and it’s contiguous implementation, it’s drawback; singly linked list-operations on it; doubly linked list-operations on it; circular linked list; linked list using arrays.

UNIT-III
Trees:
definitions-height, depth, order, degree, parent and child relationship etc;
Binary Trees- various theorems, complete binary tree, almost complete binary tree;
Tree traversals-preorder, in order and post order traversals, their recursive and non recursive implementations; expression tree- evaluation; linked representation of binary tree-operations. Threaded binary trees; forests, conversion of forest into tree. Heap-definition.

UNIT-IV
Searching, Hashing and Sorting:
requirements of a search algorithm; sequential search, binary search, indexed sequential search, interpolation search; hashing-basics, methods, collision, resolution of collision, chaining; Internal sorting- Bubble sort, selection sort, insertion sort, quick sort, merge sort on linked and contiguous list, shell sort, heap sort, tree sort.

UNIT-V
Graphs:
related definitions: graph representations- adjacency matrix, adjacency lists, adjacency multilist; traversal schemes- depth first search, breadth first search; Minimum spanning tree; shortest path algorithm; kruskals & dijkstras algorithm. Miscellaneous features Basic idea of AVL tree- definition, insertion & deletion operations; basic idea of
B-tree- definition, order, degree, insertion & deletion operations;
B+-Tree- definitions, comparison with B-tree; basic idea of string processing.

BOOKS
1. Kruse R.L. Data Structures and Program Design in C; PHI
2. Aho “Data Structure & Algorithms”.
3. Trembly “Introduction to Data Structure with Applications”.
4. TennenBaum A.M. & others: Data Structures using C & C++; PHI
5. Horowitz & Sawhaney: Fundamentals of Data Structures, Galgotia Publishers.
6. Yashwant Kanetkar, Understanding Pointers in C, BPB.
Note : Paper is to be set unit wise with internal choice.

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