Course Description

"Data Structures" is an intermediate-level Computer Science course offered by IITBombayX, designed to equip students with essential skills in managing and organizing large amounts of data efficiently. This comprehensive course is part of the Fundamentals of Computer Science XSeries Program and serves as a crucial stepping stone for aspiring programmers and software developers.

What Students Will Learn

• Various data structures and their applications
• Efficient organization of data for optimized performance
• Selection and implementation of appropriate data structures for specific tasks
• Creation of data structures using basic programming techniques
• Understanding of abstract data types and their importance
• Implementation of sequence structures like stacks, queues, and linked lists
• Exploration of advanced structures such as trees, sets, maps, and graphs

Pre-requisites

To succeed in this course, students should have a solid foundation in programming concepts, as covered in the 'Basic Programming' course. Familiarity with object-oriented programming principles would also be beneficial.

Course Content

• Basic Data Types and Abstract Data Types
• Mathematical Properties of Sequences
• Special Types of Sequences: Stacks, Queues, Strings
• Implementation of Sequence Type: Arrays and Linked Lists
• Trees
• Sets and Maps
• Graphs
• Preliminary understanding of implementing sequence structures

Who This Course Is For

• Computer Science students looking to deepen their understanding of data structures
• Aspiring software developers aiming to improve their coding efficiency
• Professionals in data-intensive fields seeking to optimize their data management skills
• Anyone interested in advancing their knowledge of computer science fundamentals

Real-World Applications

The skills acquired in this course are invaluable in numerous real-world applications:

• Developing efficient algorithms for software applications
• Optimizing database management systems
• Improving search engine functionality and performance
• Enhancing data analysis and processing in various industries
• Creating more maintainable and scalable software designs
• Solving complex computational problems in fields such as artificial intelligence and machine learning
• Improving the overall performance and user experience of digital products and services

Syllabus Overview

1. Introduction to Basic Data Types and Abstract Data Types
2. Mathematical Properties of Sequences
3. Special Sequence Types: Stacks, Queues, and Strings
4. Implementation of Sequence Types using Arrays and Linked Lists
5. Tree Structures and Their Applications
6. Sets and Maps: Concepts and Implementation
7. Introduction to Graphs and Graph Algorithms
8. Practical Implementation of Various Data Structures