You are viewing all question papers of data structure (B-TECH computer science engineering 3rd)

Recommended Books for reference

Name : Data Structures, Algorithms and Applications in C++

By : Sartaj Sahni

Name : Data Structures using C and C++

By : Tenenbaum, Augenstein, & Langsam

Syllabus

PART-A

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]

Punjab Technical University

B.Tech Computer Science Engineering (CSE)

Batch 2011

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

and their storage. [3]

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

list, application of linked lists. [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. [4]

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

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

[4]

PART-B

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. [2]

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. [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. [3]

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

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