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MATLAB for Mechanical Engineers in Bangalore

Learn about the fundamentals of MATLAB needed for mechanical engineers.

4 weeks long course | 100% Online

Learn from leading experts in the industry

Project based learning with 2 industry level projects that learners can showcase on LinkedIn.

Learn Key Tools & Technologies MATLAB

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Syllabus

This course is full of best-in-class content by leading faculty and industry experts in the form of videos and projects

Course Overview

MATLAB is a platform used to study data sets, develop models of real-world systems, create algorithms, and solve equations. Engineers use MATLAB to develop, design, simulate, and test their models before it can be developed in the real-world. In the field of mechanical engineering, MATLAB is used for solving problems related to dynamic and static systems, mechanical vibrations, control systems, statics, and more. This makes MATLAB a fundamental software tool mechanical engineers. 

By taking this course, learners will

  • Understand the basics of the MATLAB UI 
  • Write scripts to simulate forward kinematics and the air standard cycle. 
  • Solve mathematical equations and plot graphs using MATLAB
  • Get hands-on experience with writing MATLAB scripts to simulate a variety of systems and problems. 
  • Complete challenges and projects designed by experts according to industry specifications that require practical application of the concepts learned throughout the course.

Who can enroll in this course?

Students with a background in mechanical or automotive engineering can take this course.

Course Syllabus in Bangalore

On a daily basis we talk to companies in the likes of Tata Elxsi and Mahindra to fine tune our curriculum.

Week 1 - Introduction to MATLAB

MATLAB has a series of commands and functions that instruct the program to perform a task. Just like any other programming language, it has a syntax that defines the rules of the symbols and characters used to write a code. It is important for learners to understand the MATLAB syntax, basic commands, and functions to write effective programs. 

This week will cover

  • MATLAB syntax and commands 
  • Methods and ways to use commands in different scenarios
  • Manipulation of calculations and comparisons
  • Use of arrays.
  • Functions (plotting, creating animations, creating figures, and more)

Week 2 - Forward Kinematics Simulator

Forward kinematics is the process of determining the position of a robot’s end-effector by using kinematic equations with known values of angular velocities and joint parameters. It is important for learners to understand how MATLAB can be used to determine the unknown values in the kinematic equations, as well as simulate the movement of the manipulator.  

This week will cover

  • Manipulator motion using ImageMagick
  • Simulation of a 2R robotic arm manipulator
  • Creating a movie clip with the spatial motions of a robotic arm
  • ‘For’ loop in programming
  • Working of the “hold on” command
  • Arrays and linspace commands

Week 3 - Air Standard Cycle Simulator

The air standard cycle considers air as the working fluid which goes through heat addition and heat rejection. This is a thermodynamic closed loop cycle in which heat energy is converted into mechanical power. By using MATLAB, the pressure and volume diagram of air standard cycles can be plotted and simulated. It is important to understand how to solve for the kinematic equations involved in the air standard cycle, and how to plot the diagram using MATLAB. 

This week will cover

  • Solving piston kinematics equation to calculate volume trace
  • PV diagrams for different operating conditions.
  • Thermodynamic relationships
  • Pressure-volume variations
  • Order of the program
  • Plots & legends used in the graphs
  • Piston kinematics

Week 4 - Vibrations and Dynamics

Vibrations and dynamics are at the core of physical systems. Most mechanical engineering systems are dynamic in nature. These systems can be represented by equations of motion that form a set of ordinary differential equations (ODEs). It is important for learners to understand how to solve these ODEs, and their application in a real-world context.

This week will cover

  • Backward difference formula (BDF) and forward difference formula (FDF) methods to solve ODEs
  • Real use of differential equations
  • How differential equations relate to real-world applications
  • Solving differential equations
  • ODE solvers, syntax of ODEs, and various supplementary commands

Week 5 - Curve Fitting and Regression

Curve fitting is used to understand the relationship between different variables by constructing a curve that fits best through a series of data points. Regression analysis identifies the strength of the relationship between two or more variables. This lets engineers understand the relationship between system input and output, as well as predict how the system will behave in the future. Curve fitting and regression can both be done using MATLAB. It is important to understand curve fitting and regression analysis when working with physical systems in MATLAB. 

This week will cover

  • Polynomials and their best fits
  • PolyFit and PolyVal commands
  • Calculating errors
  • Sum of squares regression (SSR)
  • Sum of squares error (SSE)
  • Sum of squares total (SST)

Week 6 - Genetic Algorithm

The genetic algorithm is based on Charles Darwin’s theory of natural selection in which each step identifies the ‘best’ set of parents to reproduce children. Overtime, the continuous process of doing this yields an optimal population. In the same way, the genetic algorithm can be applied to optimization problems and performed using MATLAB. It is important for learners to understand the genetic algorithm, and how it can be used as an optimization technique.  

This week will cover 

  • Optimization techniques 
  • Working of the genetic algorithm
  • Genetic algorithm syntax and finding the global maxima
  • Stalagmite functions and how it works
  • Population size, number of generations, fitness value, and termination of further generations

Our courses have been designed by industry experts to help students achieve their dream careers

Industry Projects in Bangalore

Our projects are designed by experts in the industry to reflect industry standards. By working through our projects, Learners will gain a practical understanding of what they will take on at a larger-scale in the industry. In total, there are 2 Projects that are available in this program.

Extracting Data from NASA Thermo.dat File

Learners are required to write a code that can read the NASA-II polynomial file and calculate thermodynamic parameters. They will have to extract the data from the NASA Thermo.dat file, Enthalpy, Entropy, and Specific Heat plots for different species. Learners will also have to calculate the molecular mass of each species and optimize the code to make it generic.

Extracting Steam Properties using Rankine Cycle Simulator

Learners are required to use the XSteam library file to determine the properties of steam under various conditions. They will have to find the Enthalpy and Entropy at various state points and plot T-S and H-S on the Rankine cycle.

Our courses have been designed by industry experts to help students achieve their dream careers

Ratings & Reviews by Learners

Skill-Lync has received honest feedback from our learners around the globe.

Google Rating
4.6

Time to Boost Your Career with the MATLAB for Mechanical Engineers Course in Bangalore

This short-term course helps you learn the basics of MATLAB UI, solve mathematical equations, and write MATLAB scripts.

The MATLAB for Mechanical Engineers Course in Bangalore

Skill-Lync's course for mechanical engineers offers knowledge of core mechanical engineering concepts and MATLAB programming skills. You will learn to craft practical MATLAB code, get trained in the software's methods and commands, and plot and devise figures. This course will help you familiarise yourself with pressure-volume interpretations and piston kinematics to collect your written code flawlessly.

This 4-week-long MATLAB course will provide customised support through email forums, group forums and one-on-one doubt clearing sessions. The course also offers on-hand training on real-time projects based on industry norms.

You will be given a course completion certificate after completing the MATLAB online course. If you're in the top 5% of the course, you will qualify for a merit certificate.

FAQs about the MATLAB for Mechanical Engineers Course in Bangalore

Q 1. Why choose Skill-Lync's MATLAB for Mechanical Engineers course in Bangalore?

Engineers employ MATLAB to design, develop, simulate and test their prototypes before they can get materialised in the real world. This course teaches you how MATLAB is used for decoding problems connected to static and dynamic scenarios, automated oscillations, control techniques, statics, etc. This knowledge will prove useful during your career.   

Q 2. What are the prerequisites for taking up the MATLAB for Mechanical Engineers course in Bangalore?

 If you are inquisitive about coding and have a talent for developing mathematical algorithms, this course is for you. Students from a mechanical engineering background or BE/ BTech graduates from mechanical, instrumentation, electrical, electronics, mechatronics, and automotive disciplines can opt for this online MATLAB course.

Q 3. What is the program fee for Skill-Lync's MATLAB for Mechanical Engineers course in Bangalore

Skill-Lync offers three options for the MATLAB course with certification in Bangalore: Basic, Pro, and Premium. The Basic Plan offers 1 month's access at Rs 3000 per month for 3 months. The Pro Plan provides 2 months' access at Rs 7,000 per month for 3 months and the Premium Plan offers lifetime access at Rs 10,000 per month for 3 months. 

Q 4. What are the benefits of doing the MATLAB for Mechanical Engineers course in Bangalore

The MATLAB for mechanical and electrical engineers certification course offers you an advantage over other learners by offering you numerous industry-based assignments. The program gives insights into what MATLAB is and how MATLAB and Simulink work. The functional industry-related projects incorporated in this course will boost your working portfolio.

Q 5. What are the career prospects after completing Skill-Lync's MATLAB for Mechanical Engineers course in Bangalore?

After completing this MATLAB online course, you will be eligible for roles like:

  • Mechanical Engineer
  • Scientific Graphics Developer
  • Modeling and Simulation Engineer
  • Data Analysis and Exploration Engineer

Q 6. After completing this MATLAB Simulink training course in Bangalore, what is the expected salary range?

The salary after completing the MATLAB course in Bangalore depends upon your skills and experience. The average salary of a mechanical engineer is Rs. 3.58 lakhs per annum.

Instructors profiles

Our courses are designed by leading academicians and experienced industry professionals.

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1 industry expert

Our instructors are industry experts along with a passion to teach.

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7 years in the experience range

Instructors with 7 years extensive industry experience.

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Areas of expertise

  • CFD

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