Job Saarnee

# DATA STRUCTURE

In computer
science, a data structure is a particular way of storing and organizing data in
a computer’s memory so that it can be used efficiently. Data may organised in
many different ways, the logical or mathematical model of a particular
organisation of data is called data structure.

Table of content

• Syllabus
• Unit wise important question
• Unit wise Video Lecture
• All data structure Program in C and Java
•  Previous year Question paper

Syllabus brief

Unit 1:

Introduction:
Basic Terminology: Elementary Data
Organisation, Built in Data Types in C, Algorithm : Efficiency of an Algorithm
, Time and Space Complexity, Asymptotic Notations : Big Oh, Big Theta and Big
Omega, Time-Space trade off. Abstract Data Types(ADT).

Array: Definition, Single and Multidimensional Arrays,
Representation of Arrays: Row Major order and Column Major order, Derivation of
Index Formulae for 1-D, 2-D, 3-D and n-D Array Application of Arrays, Sparse
Matrix and their representations.

Linked List: Array Implementation and Pointer Implementation of Singly
Linked Lists , Doubly Linked List, Circularly Linked List, Operations on a
Linked List. Insertion, Deletion, Traversal, Polynomial Representation and
Addition Subtraction and Multiplications of Single Variable and Two variables
Polynomial.

Note: Solution is going to be provided soon

2 Marks Important Question

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Most Frequently asked Question

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Long Answer Question

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Video lecture of Data structure

Provided soon

Unit
2:

Stacks: Abstract Data Types, Primitive Stack Operations: Push and
Pop, Array and Linked Implementation of Stack in C, Application of Stack: Prefix
and Post fix Expressions , Evaluation of post fix expression, Iteration and
Recursion- Principle of recursion, Tail recursion, removal of recursion,
Problem solving  using iteration and
recursion with examples such as binary search, Fibonacci numbers and Hanoi
towers. Trade offs between iteration and recursion.

Queue: Operations on Queue: Create, Add, Delete, Full and Empty,
Circular Queues, Array and linked list implementation of queue in C, Dequeue
and Priority Queue.

2 Marks Important Question

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Most Frequently asked Question

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Long Answer Question

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Video lecture of Data structure

Provided soon

Unit
3:

Searching: Concept of Searching, Sequential search, Index Sequential
search, Binary search. Concept of Hashing and Collision resolution Techniques
used in Hashing.

Sorting: Insertion sort, selection, Bubble sort, Quick sort, Merge
sort, Heap sort and Radix sort.

2 Marks Important Question

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Most Frequently Asked Question

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Long Answer question

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Video lecture of Data structure

Provided soon

Unit
4:

Graphs: Terminology used with Graphs, Data Structure for Graph Representations: Adjacency Matrix, Adjacency List, Adjacency. Graph Traversal:
Depth first search and Breadth first search, Connected Component, Spanning
trees, Minimum Cost spanning tree: Prims and Kruskal algorithm. Transitive
Closure and Shortest Path algorithm: Warshal and Dijikstra Algorithm.

2 marks important question

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Most Frequently asked Question

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long answer question

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Video lecture of Data structure

Provided soon

Unit
5:

Trees: Basic terminology used with Tree, Binary tree
representation: Array representation and pointed(Linked list) representation,
Binary search tree, Strictly binary tree, Complete binary tree. An extended
binary trees, Tree traversal algorithms: In order, Pre order and Post order,
Constructing binary tree from given traversal, operation of insertion,
deletion, searching and Modification of data in Binary search, Threaded binary
trees, Huffman coding using binary tree. Concept and basic operation for AVL
tree, B.tree and Binary heaps.

2 marks important question

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Most Frequently asked Question

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long answer question

click here to view

Video lecture of Data structure

Provided soon

All data structure program

Provided soon

Previous year Paper of

2008,2009,2010,2011,2012,2013,2014,2015,2016,2017,2018,2019

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