The Complete 18cs32 - Data Structures And Applications Notes

Description

VTU | 18CS32 | Data Structures and Applications

Course Code: 18CS32

Course Title: Data Structures and Applications

University: Visvesvaraya Technological University (VTU)

Course Description:

Data Structures and Applications (18CS32) is a core computer science course offered by Visvesvaraya Technological University (VTU). The course focuses on introducing students to fundamental data structures and their applications in solving real-world problems. Understanding data structures is crucial for efficient algorithm design and software development.

Course Objectives:

The main objectives of the course include:

1. Introduction to Data Structures: Students will be introduced to various data structures such as arrays, linked lists, stacks, queues, trees, and graphs. They will learn how to represent and manipulate data efficiently using these structures.

2. Algorithm Analysis: The course will cover the analysis of algorithms in terms of time and space complexity. Students will learn how to evaluate the efficiency of different algorithms and choose the most appropriate one for a given problem.

3. Applications: Students will understand how different data structures can be applied to solve real-world problems. This includes searching, sorting, and various other operations on data.

4. Advanced Data Structures: The course may delve into more advanced data structures like hash tables, heaps, and balanced trees (AVL trees, Red-Black trees) to provide students with a deeper understanding of complex structures.

5. Memory Management: Students will learn about dynamic memory allocation and deallocation, pointers, and memory management strategies.

6. Implementation: The course will emphasize the implementation of data structures using programming languages such as C or C++. Students will gain hands-on experience in coding and designing efficient data structures.

7. Problem-Solving: Through various programming assignments and exercises, students will enhance their problem-solving skills by applying appropriate data structures to different scenarios.

8. Project Work: Students might work on a larger project that involves the application of data structures to solve a significant problem. This will help them integrate their learning and demonstrate their understanding.

Course Content:

The course syllabus might cover topics such as:

1. Introduction to Data Structures

2. Arrays and Strings

3. Linked Lists

4. Stacks and Queues

5. Trees (Binary Trees, Binary Search Trees, AVL Trees)

6. Graphs and Graph Algorithms

7. Hashing and Hash Tables

8. Heaps and Priority Queues

9. Sorting Algorithms (Bubble, Selection, Insertion, Merge, Quick)

10. Searching Algorithms (Linear Search, Binary Search)

11. Algorithm Analysis and Complexity

12. Memory Management and Pointers

Assessment:

Assessment methods for the course could include:

- Regular Assignments: Programming assignments and problem-solving exercises.

- Quizzes and Tests: To evaluate theoretical understanding and algorithm analysis skills.

- Midterm and Final Examinations: Covering the entire course content.

- Project Evaluation: If applicable, assessing the implementation and application of data structures in a project.

Conclusion:

The VTU 18CS32 Data Structures and Applications course equips students with essential knowledge about data structures, algorithms, and their practical applications. Students who successfully complete the course will be better prepared to design efficient algorithms, optimize code, and solve complex problems in the field of computer science and software development.

Wat you will Learn Section

Module-1

Introduction: Data Structures, Classifications (Primitive & Non-Primitive), Data structure Operations, Review of Arrays, Structures, Self-Referential Structures, and Unions. Pointers and Dynamic Memory Allocation Functions. Representation of Linear Arrays in Memory, Dynamically allocated arrays.

Array Operations: Traversing, inserting, deleting, searching, and sorting. Multidimensional Arrays, Polynomials and Sparse Matrices. Strings: Basic Terminology, Storing, Operations and Pattern Matching algorithms. Programming Examples.

Module-2

Stacks: Definition, Stack Operations, Array Representation of Stacks, Stacks using Dynamic Arrays, Stack Applications: Polish notation, Infix to postfix conversion, evaluation of postfix expression. Recursion – Factorial, GCD, Fibonacci Sequence, Tower of Hanoi, Ackerman’s function.

Queues: Definition, Array Representation, Queue Operations, Circular Queues, Circular queues using Dynamic arrays, Dequeues, Priority Queues, A Mazing Problem. Multiple Stacks and Queues. Programming Examples.

Module-3

Linked Lists: Definition, Representation of linked lists in Memory, Memory allocation; Garbage Collection. Linked list operations: Traversing, Searching, Insertion, and Deletion. Doubly Linked lists, Circular linked lists, and header linked lists. Linked Stacks and Queues. Applications of Linked lists – Polynomials, Sparse matrix representation.

Module-4

Trees: Terminology, Binary Trees, Properties of Binary trees, Array and linked Representation of Binary Trees, Binary Tree Traversals – Inorder, postorder, preorder; Additional Binary tree operations. Threaded binary trees, Binary Search Trees – Definition, Insertion, Deletion, Traversal, Searching, Application of Trees-Evaluation of Expression

Module-5

Graphs: Definitions, Terminologies, Matrix and Adjacency List Representation Of Graphs, Elementary Graph operations, Traversal methods: Breadth-First Search and Depth First Search. Sorting and Searching: Insertion Sort, Radix sort, Address Calculation Sort.

Hashing: Hash Table organizations, Hashing Functions, Static and Dynamic Hashing.

Files and Their Organization: Data Hierarchy, File Attributes, Text Files and Binary Files, Basic File Operations, File Organizations and Indexing