Scientific Computing using MATLAB Course | IIT Delhi & DTU Delhi | 12-Week Program
Course Details
| Exam Registration | 398 |
|---|---|
| Course Status | Ongoing |
| Course Type | Core |
| Language | English |
| Duration | 12 weeks |
| Categories | Mathematics |
| 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 | 24 Apr 2026 IST |
| NCrF Level | 4.5 — 8.0 |
Unlock the Power of Numerical Analysis with MATLAB
In today's data-driven research and engineering landscape, the ability to translate complex mathematical problems into computational solutions is indispensable. Scientific Computing using MATLAB is a meticulously designed 12-week course that bridges the gap between theoretical mathematics and practical implementation. Tailored for undergraduate and postgraduate students, this course equips you with the essential skills to handle data, solve differential equations, and execute sophisticated numerical techniques—all within the powerful, industry-standard MATLAB environment.
Learn from Distinguished Academic Leaders
This course brings together the expertise of two renowned professors from India's premier institutions:
- Prof. Mani Mehra (IIT Delhi): An Associate Professor in the Department of Mathematics at IIT Delhi, Prof. Mehra brings deep expertise in computational mathematics, backed by a PhD from IIT Kanpur.
- Prof. Vivek K. Aggarwal (DTU Delhi): An Assistant Professor in the Department of Applied Mathematics at DTU Delhi, Prof. Aggarwal complements the instruction with his specialized knowledge, also holding a PhD from IIT Kanpur.
Their combined experience ensures a learning journey that is both academically rigorous and intensely practical.
Course Overview: From Foundation to Advanced Applications
The course is structured to build your proficiency step-by-step over 12 weeks. The unique "topic + hands-on" format means you won't just learn theory; you'll immediately apply it by writing and executing MATLAB code.
Intended Audience: UG/PG Students in Mathematics, Engineering, Physics, and related fields.
Prerequisites: Basic knowledge of any programming language.
Key Benefit: Thanks to support from MathWorks, enrolled students receive access to MATLAB software for the duration of the course.
Detailed 12-Week Course Layout
| Week | Topic |
|---|---|
| Week 1 | Introduction to MATLAB |
| Week 2 | Error Estimation and Methods of Roots Finding |
| Week 3 | Order of Convergence of Various Methods |
| Weeks 4-5 | Solving System of Linear Algebraic Equations |
| Weeks 6-8 | Curve Fitting and Interpolation |
| Week 9 | Numerical Differentiation |
| Week 10 | Numerical Integration |
| Weeks 11-12 | Numerical Solution to Ordinary Differential Equations (ODEs) |
Why This Course is Essential for Your Research & Career
This course is specifically very useful for students aiming to undertake research projects that involve numerical techniques. Whether you're working with large datasets, modeling physical phenomena through differential equations, or developing algorithms, the skills acquired here form the computational core of modern scientific inquiry. The ability to implement numerical methods in MATLAB is a highly valued skill in academia and research-oriented industries.
Recommended Textbooks & Resources
To supplement your learning, the instructors recommend the following authoritative texts:
- Applied Numerical Analysis by Gerald & Wheatley (Pearson, 7th Ed., 2003)
- Elements of Numerical Analysis by R.S. Gupta (Cambridge University Press, 2nd Ed., 2015)
- Numerical Methods Using MATLAB by Mathew & Fink (Pearson, 1998)
- Getting Started with MATLAB: A Quick Introduction for Scientists & Engineers by Rudra Pratap (Oxford, 2010)
Ready to Transform Your Computational Skills?
Don't miss this opportunity to learn Scientific Computing from the ground up with guidance from IIT Delhi and DTU Delhi faculty. This 12-week journey will empower you to tackle complex numerical problems with confidence and precision using MATLAB. Enroll today and take the first step towards mastering the tools of modern scientific research.
Enroll Now →