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Fee: $49 (~₹ 4700)
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Workshop Details:
MATLAB is a proprietary multi-paradigm programming language and numeric computing environment developed by MathWorks. MATLAB allows matrix manipulations, plotting of functions and data, and implementation of algorithms etc.
This workshop is designed for a complete beginner to programming and MATLAB. This workshop is ideal for students from Mechanical Aerospace and Chemical Engineering backgrounds. This will also help professionals working in CAD/FEA/CFD domain for developing their own codes, and automate processes and tasks. During the live sessions from, you will learn MATLAB from scratch and practice more coding exercises along with assignments.
Key information:
- Course Instructor: Nishant Soni [IIST, JNCASR Bangalore], Scientific software developer
Lead Instructor at Flowthermolab - Total access to recordings of live sessions: 12 Months
- Computer requirement: Minimum 4 GB RAM and i3 processor
- Software: Guidance on installations will be provided before the workshop
More Information
- Week 1
Day 1 – Getting familiar with GUI, Introduction to basics of MATLAB
Day 2 – Creating and Working with Arrays of Numbers, Simple plots, Script les and Function Files
Day 3 – Arrays and Matrices, Anonymous functions, Symbolic Computation, Importing and Exporting Data, Files
and Directories
Day 4 – Matrix and Array Operations : Arithmetic, relational, and logical operations, elementary math functions
and matrix functions, vectorized operations
Day 5 – Functions: User-defined functions, Subfunctions, Nested functions, Compiled functions, The profiler - Week 2
Day 1 – Variable Scope : local and global variables, Loops, branches and control ow, recursion
Day 2 – Advanced Data Objects: Multidimensional matrices, Structures, Cells
Day 3 – Linear Algebra: Solving a linear system, Gaussian elimination, Eigenvalues, and Eigenvectors, Matrix
factorizations, Advanced topics
Day 4 – Curve Fitting and Interpolation: Polynomial curve fitting, Least squares curve fitting, General nonlinear
fits, Interpolation
Day 5 – Data Analysis and Statistics - Week 3
Day 1 – Numerical Integration (Quadrature), Single and Double Integration
Day 2 – Ordinary Differential Equations: A first-order linear ODE, A second-order nonlinear ODE, ode23 vs ode45
Day 3 – Nonlinear Algebraic Equations – Roots of polynomials and Advanced Topics
Day 4 – Graphics: 2-D Plots, Subplot for Multiple Graphs, 3-D Plots, 3-D Surface Graphics, Animation
Day 5 – Partial Differential Equations – Nonlinear Heat Transfer
- Engineering students pursuing BTech, Mtech or Ph.D. for their academic projects and to enhance programming skills
- Engineers already working in the industry but want to learn and master MATLAB
- Professors/Lecturers who want to teach or guide their students in Programming
- CFD, CAD or FEA Engineers who want to learn programming to develop their own solvers or for preparing scripts for automation
- Do I get a certificate?
Yes, based on your attendance and completion of tutorials, you will be given the certificate. - Do I need a powerful workstation/computer to learn this course?
No, a normal laptop with 4 or 8GB RAM and a decent processor (i3) is good enough for this course. - What if I don’t understand some portion or need to clarify some doubts?
We will support you through emails to clear all doubts and questions - Should I know the programming to learn this course?
No, you don’t need. - Is there any prerequisite?
No
Ratings and Reviews
It's a really good course for beginners and would definitely recommend anyone planning to go ahead with it. A bit of previous knowledge related to numerical methods is helpful towards the end lectures, not important but will definitely come in handy.
The course enhanced my proficiency in MATLAB and provided valuable insights into how computers interpret code. I'm highly satisfied with the knowledge gained, especially in topics like vectorization, sparse matrices, and applying computing science to thermal problems. These skills are instrumental in distinguishing oneself as proficient in MATLAB. The course also offered numerous helpful tips and
I am very happy with what I learned in this course. Topics covered, like vectorization, sparse matrices, applied computing science in thermal problems are very useful and help you to distinguish from a beginner in MATLAB. Many useful tips and tricks are shared with students. It would be perfect if it would be split into multiple shorter sessions, as Python course.
The MATLAB programming session was informative and engaging. The instructor effectively demonstrated various concepts and techniques, making it easier to understand and apply them.