Data Structure

What is Data Strucure?

• Data structure is a way of organizing and storing data in a computer so that it can be used efficiently.
• Data structures help programmers manage large amounts of data and optimize the performance of their programs by ensuring that operations are performed quickly and with minimal use of resources.

Why learn Data Structure?

• Learning data structures is crucial for developing efficient and scalable software solutions, improving problem-solving skills
• Data structures serve as the building blocks for many advanced topics in computer science and software engineering, including databases, operating systems, artificial intelligence, and more.

What do we Provide?

• Students will gain understanding of fundamental data structures including arrays, linked lists, stacks, queues, trees, and graphs, along with their respective algorithms for searching, sorting, and traversal. They will develop proficiency in manipulating and organizing data efficiently, enabling them to design and implement solutions to various computational problems effectively.

Syllabus

Module 1: Introduction to Data Structures+

• What is Data structure ?
• Importance of Data Structures
• Applications of Data Structures
• Classification and Types
• Algoritm Complexity
• Operations on Data Structures

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Module 2: Serching and Sorting+

• Basics of Searching
• Types of Searching
• Introduction of Sorting
• Bubble Sort
• Selection Sort
• Insertion Sort
• Quik Sort

Module 3: Stack And Queue +

• Introduction to Stack
• Operation on Stack
• Applications of Stack
• Introduction to Queue
• Types of Queue
• Operation of Queue

Module 4: Arrays and Linked Lists +

• What is Array and LinkedList ?
• Types of List
• Operation on LinkedList
• Implementing with arrays and linked lists
• Constructors with Derived Classes

Module 5: Trees +

• Introduction to Tree
• Types of Tree
• Traversal Algorithms
• Binary tree operations and implementations

Module 6: Graph +

• Introduction to graphs
• Graph representations
• Graph traversal algorithms
• Shortest path algorithms
• Applications of graphs in real-world problems

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InfoStack Software Development, Training and Research Center, Solapur