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Data Structure PROGRAMMING Syllabus

DataStructure Training in Pune

Data Structures Basics -
Structure and Problem Solving,
Data structures, Data structure Operations
Algorithm: complexity, Time- complexity
Linked List-
Introduction
Linked lists
Representation of linked lists in Memory
Traversing a linked list
Searching a linked list
Memory allocation and Garbage collection
insertion into linked list
Deletion from a linked list
Types of linked list.
Stack and Queue -
Introduction
Array Representation of Stack
Linked List Representation of stack
Application of stack, Queue
Array Representation of Queue
Linked List Representation of Queue.
Trees: Definitions and Concepts
Operations on Binary Trees
Representation of binary tree
Conversion of General Trees to Binary Trees
Sequential and Other Representations of Trees
Tree Traversal.
Graphs: Matrix Representation of Graphs
List Structures
Other Representations of Graphs
Breadth First Search, Depth First Search
Spanning Trees.
Dijkstra’s Algorithm
Minimum spanning tree- Prim’s Algorithm;
Searching Techniques: Sequential Searching
Binary Searching, Search Trees, Hash- Table Methods.
Mathematical Functions and Notations Functions and Notations
Efficiency of an Algorithm
Well Known Asymptotic Functions and Notations
Analysis of Algorithms – Simple Examples;
Well Known Sorting Algorithms – Insertion sort, Bubble sort, Selection
sort, Shell sort, Heap sort.
Divide and Conquer Divide and Conquer Strategy; Binary Search; Max. And Min.; Merge sort; Quick sort.
Greedy Method Greedy Method Strategy;

Dynamic Programming Dynamic Programming Strategy;
All Pair Shortest Paths
Complexity of Algorithms: Notations for the Growth Rates of Functions;
Classification of Problems