Free Database Systems Course | IIT Madras Prof. Sreenivasa Kumar | SQL, DBMS
Course Details
| Exam Registration | 11073 |
|---|---|
| Course Status | Ongoing |
| Course Type | Core |
| Language | English |
| Duration | 12 weeks |
| Categories | Computer Science and Engineering, Programming, Systems |
| Credit Points | 3 |
| Level | Undergraduate |
| Start Date | 19 Jan 2026 |
| End Date | 10 Apr 2026 |
| Enrollment Ends | 02 Feb 2026 |
| Exam Registration Ends | 20 Feb 2026 |
| Exam Date | 17 Apr 2026 IST |
| NCrF Level | 4.5 — 8.0 |
Introduction to Database Systems: Your Gateway to Mastering Data
In our digital world, databases are the silent engines powering everything from your social media feed and online banking to massive e-governance solutions and enterprise software. Understanding how to design, manage, and interact with these systems is a foundational skill for any computer scientist or software engineer. If you're looking to build this critical expertise, a stellar opportunity awaits.
This article introduces a premier educational offering: the "Introduction to Database Systems" course from the prestigious Indian Institute of Technology Madras (IIT Madras), led by the esteemed Professor P. Sreenivasa Kumar. This 12-week undergraduate-level course provides a rigorous and comprehensive journey into the core principles of database management systems (DBMS).
Meet Your Instructor: Prof. P. Sreenivasa Kumar
The course is guided by an expert with decades of experience. Prof. P. Sreenivasa Kumar has been a dedicated faculty member in the Computer Science and Engineering Department at IIT Madras for over twenty years.
His distinguished academic and research profile includes:
- Advanced Degrees: He completed both his Masters and PhD from the Department of Computer Science and Automation at the Indian Institute of Science (IISc), Bangalore, one of India's top research institutions.
- Research Expertise: His scholarly work focuses on databases, semi-structured data, XML, and the theory and applications of ontologies. This deep theoretical knowledge ensures the course is built on a solid academic foundation while being relevant to modern data formats.
Who Should Take This Course?
This course is meticulously designed for a specific audience to ensure learners can fully benefit from the material.
- Primary Audience: Third-year B.Tech students in Computer Science and Engineering.
- Prerequisites: A solid grasp of Discrete Mathematics/Structures and Programming and Data Structures is essential to follow the algorithmic and logical concepts presented.
- Extended Audience: While tailored for undergraduates, the course is also invaluable for practicing software developers, IT professionals, and any motivated learner seeking a structured, university-level understanding of database systems.
Course Overview: What Will You Learn?
Spanning 12 weeks, the course curriculum is a carefully sequenced roadmap from foundational concepts to advanced DBMS operations. Here’s a detailed breakdown of the course layout:
| Week | Module & Topics |
|---|---|
| Week 1-2 | Entity-Relationship (E/R) Model: Learn to conceptually model real-world data and relationships. |
| Week 3-4 | Relational Model: Understand the mathematical foundation of relational databases, including schemas, tuples, and keys. |
| Week 5-6 | SQL (Structured Query Language): Master the standard language for querying and manipulating data in relational databases. Includes Tuple Relational Calculus (TRC). |
| Week 7-8 | Indexes & Query Processing: Discover how databases efficiently store and retrieve data using indexing structures and optimize query execution. |
| Week 9-10 | Normal Forms: Dive into database design theory to eliminate redundancy and avoid anomalies through normalization (1NF, 2NF, 3NF, BCNF). |
| Week 11-12 | Transaction Processing: Explore the principles of ACID properties (Atomicity, Consistency, Isolation, Durability) that ensure reliable database operations. |
Key Textbook & Resources
The course aligns with one of the most authoritative textbooks in the field:
"Database Systems" by Ramez Elmasri and Shamkant Navathe (Pearson Publications). This book is a global standard for database education, offering in-depth explanations and examples that perfectly complement the lecture material.
Why Enroll in This Database Systems Course?
Choosing this course offers distinct advantages:
- Academic Excellence: Learn from an IIT Madras professor with a proven track record in database research and education.
- Structured Learning Path: The 12-week schedule provides a disciplined, comprehensive approach to a complex subject.
- Career-Relevant Skills: SQL, database design, and transaction management are non-negotiable skills for backend developers, data engineers, and system architects.
- Strong Foundation: It moves beyond simple SQL syntax to teach the underlying theory (Relational Model, Normalization) that enables you to design robust, scalable systems.
Whether you are a student preparing for a career in tech or a professional aiming to solidify your understanding of core systems concepts, this Introduction to Database Systems course from IIT Madras is a powerful resource. It equips you with the knowledge to not just use databases, but to understand and design them effectively.
Enroll Now →