MATLAB Programming for Numerical Computation Course | IIT Madras NPTEL
Course Details
| Exam Registration | 520 |
|---|---|
| Course Status | Ongoing |
| Course Type | Elective |
| Language | English |
| Duration | 12 weeks |
| Categories | Computer Science and Engineering, Chemical Engineering, Multidisciplinary, Computational Biology, Electrical, Electronics and Communications Engineering |
| Credit Points | 3 |
| Level | Undergraduate/Postgraduate |
| 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 |
Unlock the Power of MATLAB for Scientific and Engineering Computation
In today's data-driven world, the ability to translate complex scientific and engineering problems into computational solutions is an indispensable skill. MATLAB stands as a cornerstone in this domain, offering a powerful, high-level language and interactive environment used by millions of engineers and scientists worldwide. If you're looking to build a strong foundation in numerical computation, the MATLAB Programming for Numerical Computation course from IIT Madras is your ideal starting point.
Course Overview: A Deep Dive into Practical MATLAB
This meticulously designed 12-week course, available through NPTEL, is more than just an introduction to MATLAB syntax. It is a hands-on, laboratory-style elective that bridges the gap between theoretical numerical methods and their practical implementation. Led by Prof. Niket Kaisare, a seasoned professor from the Department of Chemical Engineering at IIT Madras, the course leverages over a decade of academic and industrial R&D experience.
Prof. Kaisare's expertise in modeling, design, and control for energy applications ensures that the course content is grounded in real-world problem-solving, using computational tools like MATLAB extensively.
Who Should Enroll?
This introductory course casts a wide net, making it valuable for a diverse audience:
- Undergraduate & Postgraduate Students from disciplines like Chemical, Computer Science, Electrical, Electronics, and Computational Biology.
- Early-Career Engineers & Scientists (BE/ME/MS/MSc) looking to add a powerful computational tool to their skillset.
- PhD Scholars who require a solid grasp of MATLAB for their research computations.
- Any professional or student interested in using programming to solve numerical problems in science and engineering.
What You Will Learn: From Basics to Advanced Applications
The course is structured into twelve comprehensive modules, each building upon the last to ensure a thorough understanding. A key highlight is the free access to MATLAB Online provided to all enrolled students for the course duration, thanks to support from MathWorks.
Here’s a detailed look at the course layout:
| Week | Module Focus | Key Topics Covered |
|---|---|---|
| 1-2 | MATLAB Fundamentals | Introduction to MATLAB environment, script/function files, loops, execution control, and debugging best practices. |
| 3 | Approximations & Errors | Understanding computational accuracy through Taylor series expansions. |
| 4 | Linear Equations | Implementing numerical linear algebra methods to solve practical problems. |
| 5 | Nonlinear Equations | Bisection, Newton-Raphson method, and using MATLAB's fzero and fsolve. |
| 6 | Differentiation & Integration | Numerical techniques, error analysis, and built-in MATLAB functions. |
| 7-8 | Ordinary Differential Equations (ODEs) | Solving ODE Initial Value Problems (IVPs) in single and multiple variables, including stiff systems. |
| 9 | Regression & Interpolation | Practical application of linear/nonlinear regression and interpolation functions. |
| 10-12 | Advanced Topics & Synthesis | ODE Boundary Value Problems, Differential Algebraic Equations, Partial Differential Equations, and Optimization. The final exam covers material from weeks 1-9. |
Prerequisites & Learning Resources
To succeed in this course, you should have a basic understanding of linear algebra and calculus at a 12th-standard/first-year engineering level. Prior programming experience is helpful but not mandatory. The course pairs excellently with theoretical knowledge from numerical methods courses.
Your learning will be supported by:
- Primary Textbook: Applied Numerical Analysis Using MATLAB by Fausett L.V. (2nd Ed.).
- Reference Book: Numerical Methods for Engineers by Chapra S.C. and Canale R.P.
- Related NPTEL Courses: For deeper theoretical grounding, students can refer to companion courses on Numerical Methods for Engineers and Computational Techniques.
Why Choose This Course?
This course has evolved based on direct student feedback, expanding from 8 to 12 weeks to provide a more comprehensive and digestible learning experience. It emphasizes a practical, hands-on approach, with weekly self-study problems and graded assignments that reinforce each module's concepts. By the end of the 12 weeks, you will not only understand the basics of MATLAB but also be confident in applying it to solve a wide array of computational problems in your field.
Whether you aim to enhance your academic research, boost your employability in tech-driven industries, or simply satisfy a curiosity about scientific computing, this course offers a structured, expert-led pathway to mastering numerical computation with MATLAB.
Ready to start your computational journey? Enroll today and transform the way you solve engineering and scientific challenges.
Enroll Now →