Question Papers

data structures

Previous year question paper with solutions for Data structures from 2013 to 2020

Header Ads (Responsive)
Syllabus DATAS (B-TECH information technology 3rd)

1. Dynamic Memory Management: Understanding pointers, usage of pointers, arithmetic on pointers,

memory allocation, memory management functions and operators, debugging pointers - dangling

pointers, memory leaks, etc. [2]

2. Introduction: Concept of data type, definition and brief description of various data structures, data

structures versus data types, operations on data structures, algorithm complexity, Big O notation. [2]

3. Arrays: Linear and multi-dimensional arrays and their representation, operations on arrays, sparse

matrices and their storage.

4. Linked List: Linear linked list, operations on linear linked list, doubly linked list, operations on

doubly linked list, application of linked lists.

[3]

[4]

5. Stacks: Sequential and linked representations, operations on stacks, application of stacks such as

parenthesis checker, evaluation of postfix expressions, conversion from infix to postfix representation,

implementing recursive functions.

6. Queues: Sequential representation of queue, linear queue, circular queue, operations on linear and

[4]

circular queue, linked representation of a queue and operations on it, deque, priority queue, applications of

queues. [4]

7. Trees: Basic terminology, sequential and linked representations of trees, traversing a binary

tree using recursive and non-recursive procedures, inserting a node, deleting a node, brief introduction to

threaded binary trees, AVL trees and B-trees. [4]

8. Heaps: Representing a heap in memory, operations on heaps, application of heap in implementing

priority queue and heap sort algorithm.

9. Graphs: Basic terminology, representation of graphs (adjacency matrix, adjacency list), traversal of

a graph (breadth-first search and depth-first search), and applications of graphs.

[2]

[3]

10. Hashing & Hash Tables: Comparing direct address tables with hash tables, hash functions,

concept of collision and its resolution using open addressing and separate chaining, double hashing,

rehashing.

11. Searching & Sorting: Searching an element using linear search and binary search techniques,

[3]

Sorting arrays using bubble sort, selection sort, insertion sort, quick sort, merge sort, heap sort, shell sort

and radix sort, complexities of searching & sorting algorithms.

Contribute to Our Library

Help us expand our collection by uploading your question papers.

Upload PDFs or images; our team will review and publish them.

Upload Now
2020
Download
2019
Download
Inline Content Ad (Responsive)
2018
Download
2017
Download
Download
Inline Content Ad (Responsive)
2016
Download
Download
2015
Download
Inline Content Ad (Responsive)
2014
Download
Download
2013
Download
Inline Content Ad (Responsive)