Nothing Special   »   [go: up one dir, main page]
Scribd Logo
Upload

Welcome to Scribd!

  • 9 views

    Dscoursecontent

    Uploaded by

    Prasad Jerry
    This document outlines the course content for an introduction to data structures course. The course covers linear and non-linear data structures like arrays, pointers, stacks, queues, linked lists, and trees. It introduces abstract data types and data structure relevance for applications. Students will learn to implement these structures in C++/Borland IDE and analyze algorithms for problems like Fibonacci numbers and finding min/max values. Key data structures covered include stacks, queues, linked lists, binary trees, and binary search trees.

    Copyright:

    Attribution Non-Commercial (BY-NC)
    Download as PDF, TXT or read online from Scribd

    Dscoursecontent

    Uploaded by

    Prasad Jerry
    9 views2 pages
    This document outlines the course content for an introduction to data structures course. The course covers linear and non-linear data structures like arrays, pointers, stacks, queues, linked lists, and trees. It introduces abstract data types and data structure relevance for applications. Students will learn to implement these structures in C++/Borland IDE and analyze algorithms for problems like Fibonacci numbers and finding min/max values. Key data structures covered include stacks, queues, linked lists, binary trees, and binary search trees.

    Original Description:

    Original Title

    dscoursecontent

    Copyright

    © Attribution Non-Commercial (BY-NC)

    Available Formats

    PDF, TXT or read online from Scribd

    Did you find this document useful?

    Is this content inappropriate?

    This document outlines the course content for an introduction to data structures course. The course covers linear and non-linear data structures like arrays, pointers, stacks, queues, linked lists, and trees. It introduces abstract data types and data structure relevance for applications. Students will learn to implement these structures in C++/Borland IDE and analyze algorithms for problems like Fibonacci numbers and finding min/max values. Key data structures covered include stacks, queues, linked lists, binary trees, and binary search trees.

    Copyright:

    Attribution Non-Commercial (BY-NC)
    Download as PDF, TXT or read online from Scribd
    Download as pdf or txt
    9 views2 pages

    Dscoursecontent

    Uploaded by

    Prasad Jerry
    This document outlines the course content for an introduction to data structures course. The course covers linear and non-linear data structures like arrays, pointers, stacks, queues, linked lists, and trees. It introduces abstract data types and data structure relevance for applications. Students will learn to implement these structures in C++/Borland IDE and analyze algorithms for problems like Fibonacci numbers and finding min/max values. Key data structures covered include stacks, queues, linked lists, binary trees, and binary search trees.

    Copyright:

    Attribution Non-Commercial (BY-NC)
    Download as PDF, TXT or read online from Scribd
    Download as pdf or txt
    of 2

    Course Content: 1: Introduction to Data Structures Relevance of Data Structures with respect to applications Abstract Data Types Linear

    ear and Non-linear Data Structures 2: Introduction to IDE (VC++/Borland) Setting library path for the VC++/Borland IDE 3: Introduction to Arrays and Pointers One-dimensional & Multidimensional pointers Memory allocation, reallocation & de-location Pointers to structures 4: Introduction What is an algorithm? Analysis of algorithms Case Study -The Fibonacci numbers/ MinMax 5: Linear Data Structures Stack Applications of Stack 6: Linear Data Structures Queue Circular Queue Priority Queue Dequeue Application of Queue 7: Linked Allocation Advantages and Disadvantages of Sequential and Linked Allocation Singly Linked List Circular Linked List Doubly Linked List Applications of Linked Lists 8: Non Linear Data Structures- Trees Introduction to Tree Binary Tree and its Representation Tree Traversals Applications of Binary Tree Binary Search Tree

    You might also like