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Fee: $49 (~₹ 4000 Ex 18% GST)
Only limited seats to make the course lively and interactive.

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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
  • Date: 12 Dec to 30 Dec (Mon to Friday)
  • Time: 6.00 pm to 7.30 pm IST
  • Total access to recordings of live sessions: 3 Months
  • Computer requirement: Minimum 4 GB RAM and i3 processor 
  • Software: Guidance on installations will be provided before the workshop
  • Mode of class: Zoom video call (Once you make the payment, log in details will be shared

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 and zoom meetings/discussion sessions to clear all doubts and questions
  • Should I know the programming  to learn this course? 
    No, you don’t need.
  • Is there any prerequisite? 
Not Enrolled

Course Includes

  • 14 Lessons
  • 1 Topic

Ratings and Reviews

Avg. Rating
8 Ratings
What's your experience? We'd love to know!
Posted 3 weeks ago

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

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Ashwin Shrinivas
Posted 3 weeks ago

Really good... I recommend everyone to learn MATLAB from here

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Vladislav Živanović
Posted 4 weeks ago
It improved my MATLAB skills and gave me good perspective of how the coputer treats the code.

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.

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Posted 4 weeks ago
good course

Good course which is excellent for explaining programming concepts, especially vectorization and logical arrays.

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Diego Alejandro Cepeda Cuartas
Posted 1 month ago
Amazing course

I would like to thank you for this course because I've learned a lot about the practical way to use this programming language; It's an amazing course to improve the programming skills. Congratulations!!

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Posted 1 year ago
Fantastic course to learn Matlab

The course is well-structured and provides a clear understanding of Matlab's various features and functions. I would definitely recommend this course 👍

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Posted 1 year ago
Awesome course!!

I recommend everyone to participate in such courses. Very neatly explained concept by concept. I appreciate the efforts of the team.

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Marcos Gómez
Posted 1 year ago

I highly recommend this course

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