Data Structure

Introduction: Data and Information, Data Structure, Classification of Data Structures, Primitive Data Types, Abstract Data Types, Data structure vs. File Organization, Operations on Data Structure, Algorithm, Importance of Algorithm Analysis, Complexity of an Algorithm, Asymptotic Analysis and Notations, Big O Notation, Big Omega Notation, Big Theta Notation, Rate of Growth and Big O Notation.
Array: Introduction, One Dimensional Array, Memory Representation of One Dimensional Array, Traversing, Insertion, Deletion, Searching, Sorting, Merging of Arrays, Multidimensional Arrays, Memory Representation of Two Dimensional Arrays, General Multi-Dimensional Arrays, Sparse Arrays, SparseMatrix, Memory Representation of Special kind of Matrices, Advantages and Limitations of Arrays.
Linked List: Linked List, One-way Linked List, Traversal of Linked List, Searching, Memory Allocation and De-allocation, Insertion in Linked List, Deletion from Linked List, Copying a List into Other List, Merging Two Linked Lists, Splitting a List into Two Lists, Reversing One way linked List, Circular Linked List, Applications of Circular Linked List, Two way Linked List, Traversing a Two way Linked List, Searching in a Two way linked List, Insertion of an element in Two way Linked List, Deleting a node from Two way Linked List, Header Linked List, Applications of the Linked list, Representation of Polynomials, Storage of Sparse Arrays, Implementing other Data Structures.
Stack: Introduction, Operations on the Stack Memory Representation of Stack, Array Representation of Stack, Applications of Stack, Evaluation of Arithmetic Expression, Matching Parenthesis, infix and postfix operations, Recursion.
Queue: Introduction, Queue, Operations on the Queue, Memory Representation of Queue, Array representation of queue, Linked List Representation of Queue, Circular Queue,Some special kinds of queues, Deque,Priority Queue, Application of Priority Queue, Applications of Queues.
Sorting and Searching Techniques: Bubble, Selection, Insertion, Merge Sort. Searching: Sequential,Binary, Indexed Sequential Searches, Binary Search.
Tree: Tree,Binary Tree, Properties of Binary Tree, Memory Representation of Binary Tree, Operations Performed on Binary Tree,Reconstruction of Binary Tree from its Traversals, Huffman Algorithm, Binary Search Tree, Operations on Binary Search Tree, Heap, Memory Representation of Heap, Operation on Heap, Heap Sort.
Advanced Tree Structures:Red Black Tree, Operations Performed on Red Black Tree, AVL Tree, Operations performed on AVL Tree, 2-3 Tree, B-Tree.
Hashing Techniques: Hash function, Address calculation techniques, Common hashing functions Collision resolution, Linear probing, Quadratic,Double hashing, Buckethashing, Deletion and rehashing
Graph: Introduction, Graph, Graph Terminology, Memory Representation of Graph, Adjacency Matrix Representation of Graph, Adjacency List or Linked Representation of Graph, Operations Performed on Graph, GraphTraversal, Applications of the Graph, Reachability, Shortest Path Problems, Spanning Trees.
Hashing Techniques: Hash function, Address calculation techniques, Common hashing functions Collision resolution, Linear probing, Quadratic,Double hashing, Buckethashing, Deletion and rehashing

Introduction to Data Structure
Classification and Types
Algorithmic Complexity
Linear structures: Arrays, Stacks, Linked List and Queues
Non-linear Structures: Trees & Graphs
Hashing Techinques

Introduction to Data Structure: QUIZ1 | QUIZ2 

Classification and Types: QUIZ1 | QUIZ2 

Algorithmic Complexity: QUIZ1 | QUIZ2 
Linear structures: Arrays, Stacks, Linked List and Queues: QUIZ1 | QUIZ2 
Non-linear Structures: Trees & Graphs: QUIZ1 | QUIZ2 
Hashing Techinques: QUIZ1 | QUIZ2

Why Study Data Structure?

Data structure is an integral course & lays the foundation of computing and programming. It is extremely important part of any programmer’s arsenal. It helps the learners to understand the logic and enables them to make programs efficient and fast to execute
You wil be equipped with understanding of storage and operations on data

Be better Developer

You can be better developpe if you know insights of data storage and access supported by data structres implemented by a language.  Data structure is a must for all developers.

Design efficient Algorithms

Better algorithm can take shape only if you the most appropriate datat structure  to use and how they operate. Choose corerct data structure for a better algorithm.

Degin Thinking

Knowledge of data structure make you better at thoughts and formulation of solutions in most innovative way.

Data Structure

This section contains video lectures of core concepts of topics from classic data structure. 

PHYLOSOPHY-Infinity is the only Limit!

Great things happen when you work together. Connect, collaborate and contribute.      

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