Objectives
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Course Outline
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  • To impart the basic concepts of data structures and algorithms
  • To understand concepts about searching and sorting techniques
  • To Understand basic concepts about stacks,queues,lists,trees and graphs
  • To understanding about writing algorithms and step by step approach in solving problems with the help of fundamental data structures
  • BCA or
  • PGDCA or
  • MCA or
  • B.Tech

  • Introduction
    Preliminaries of algorithm, Algorithm analysis and complexity, Data structure- Definition, types of data structures
    Recursion:
    Definition, Design Methodology and Implementation of recursive algorithms, Linear and binary recursion, recursive algorithms for factorial function, GCD computation, Fibonacci sequence, Towers of Hanoi, Tail recursion.
    Searching Techniques:
    List Searches using Linear Search, Binary Search, Fibonacci Search
    Sorting Techniques:
    Basic concepts, Sorting by: insertion (Insertion sort), selection (heap sort), exchange (bubble sort, quick sort), distribution (radix sort) and merging (merge sort) Algorithms.
    Stacks and Queues:

    Stacks: Basic Stack Operations, Representation of a Stack using Arrays, Stack Applications: Reversing list, Factorial Calculation, Infix to postfix Transformation, Evaluating Arithmetic Expressions.
    Queues: Basic Queue Operations, Representation of a Queue using array, Implementation of Queue Operations using Stack, Applications of Queues- Round, Robin Algorithm, Circular Queues, Priority Queues.
    Linked Lists:
    Introduction, single linked list, representation of a linked list in memory, Operations on a Single linked list, Reversing a single linked list, Advantages and disadvantages of single.linked list, circular linked list, Double linked list
    Trees:
    Proper

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