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Data Structure Using C

Overview

Data structures gives programmer a logical way of sorting data and it also defines the mechanism of retrieving data. It is essential building blocks in obtaining efficient algorithm. This course provides you the detailing about different types of data structure.

Duration : (40 Hours)

Prerequisites : Knowledge of C/C++ Programming language.

Training Highlights : After completion of this course student will get the ability to understand the problem and select relevant data structure . Student will be able to understand algorithm and how to develop it. We provide the DS training for all curriculum subject such as Engineering (computer Science and IT) BCA and BCS student.

Course Syllabus

Data Structure Using C
  1. Concepts of Data Structure
    • Definition
    • Need of Data Structure
    • Types of Data Structures
    • Efficiency of an algorithm
    • Classification of Data Structure
  2. Arrays
    • Introduction
    • Linear Arrays
    • Operations on Arrays
    • Multidimensional Arrays
    • Representation of two-dimensional arrays
    • Advantages and Disadvantages of Arrays
  3. Lists
    • Introduction
    • Types of Linked Lists
    • Single Linked List and Operations on it
    • Double Linked List and Operations on it
    • Circular Linked List and Operations on it
    • Advantages and Disadvantages of Linked Lists
    • Linked Lists Vs. Arrays
  4. Stack
    • Introduction
    • Applications of Stacks
    • Operations on Stacks
    • Array Representation of Stacks
    • Linked Representation of Stacks
    • Polish Notations
  5. Queue
    • Introduction
    • Applications of Queues
    • Operations on Queues
    • Array Representation of Queues
    • Linked Representation of Queues
    • Circular Queues
    • Dequeues
    • Priority Queues
  6. Trees
    • Introduction
    • Types of trees
    • Types of trees
    • Binary Trees
    • Representation of Binary trees
    • Tree Traversal
    • Binary search Trees
    • Heap
    • AVL trees
  7. Graphs
    • Introduction
    • Graph Terminology
    • Types of Graphs
    • Sequential Representation of Graphs
    • Linked Representation of Graphs
    • Graph Traversal
  8. Sorting & Searching Techniques
    • Insertion Sort
    • Merge Sort
    • Quick Sort
    • Radix Sort
    • Selection Sort
    • Bubble Sort
    • Linear Search
    • Binary Search
    • Hashing
    • Hash Functions
    • Collision resolution
  9. File Structures
    • Physical Storage Media File Organization
    • Organization of records into Blocks
    • Sequential Files
    • Indexing

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