Data Structure Course
Data structures provide a means to manage large amounts of data efficiently for uses such as large databases and internet indexing services. Usually, efficient data structures are key to
designing efficient algorithms.
Some formal design methods and programming languages
emphasize data structures, rather than algorithms,
as the key organizing factor in software design.
Data structures can be used to organize the storage and
retrieval of information stored in both main memory and
secondary memory.Best data structure classes in pune,
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Data Structures Basics -
Structure and Problem Solving,
Data structures, Data structure Operations
Algorithm: complexity, Time- complexity
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 -
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
Graphs: Matrix Representation of Graphs
Other Representations of Graphs
Breadth First Search, Depth First Search
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