Learn MATLAB Easily with Skill-Lync's Program for Mechanical Engineers

In order to get the best out of this course, I have included some important tips below that I think you might find useful:

Prepare Yourself

• Your ultimate aim should be to understand the course, rather than to complete it.
• Take a minimum of 3 days per exercise. Meanwhile, Read library functions, commands in MATLAB through the website.
• Practice Curve fitting, Statistics and Machine Learning, Control Systems, Signal Processing, Mapping, Deep Learning, Financial Analysis, Image Processing, Text Analysis, Electric vehicle Designing, Aerospace and Audio Toolbox application problems.
• Strengthen basic mathematical concepts such as matrix, array, algebra, numbers, polynomial, and differential equations.
• Refer a book by R.V Dukkipati “MATLAB for Mechanical Engineers”.

Assessment or Grading Criteria

No examination is compulsory for the certificate course. To get a verified course completion certificate, students must have finished all the course lectures, assignments, and technical projects. Only then a certificate of completion is awarded. The evaluations are designed to assure constant student attention and encourage learning.

Hands-on Training

Students get an edge over counterparts by working considerably on industry-relevant projects, practicing on tools and software that set them apart and help them get ahead of the competition. One of the leading projects of the course is the File Parsing or the Cycle Simulator.

Knowledge of the Given Prerequisites 

Having knowledge of the required skills is important. It will enhance your learning during the course.. For example, in this course, you are required to have some fundamental knowledge as mentioned below:

• Introduction to MATLAB: Basic shortcut commands, functions, variable functions, usage of arrays, plotting graph, format codes, format functions (https://www.tutorialspoint.com/matlab/matlab_commands.htm ), elementary functions, programming methods, numerical methods, control structures, descriptive statistics (https://www.mathworks.com/content/dam/mathworks/fact-sheet/matlab-basic-functions-reference.pdf )
• Forward Kinematics Simulator: Review of vector quantities , rigid body dynamics, center of mass, torque, angular momentum, angular acceleration, conservation of momentum, conservation of energy, centripetal acceleration, radial and tangential forces, work power and energy, Equations of energy, Mohr’s circle method.
• Air Standard Cycle Simulator: Heat balance performance characteristics, heat/thermal efficiencies, laws of thermodynamics, carnot cycle, otto cycle, diesel cycle, rankine cycle, brayton cycle, gas turbine cycle, energy conservation and energy audit, piston kinematics equations.
• Vibrations & Dynamics: Review of simple harmonic motions, the vibration of a spring and mass system, frequency response, damping and resonance, wave motion, attenuation of waves, differential equation of a plane progressive wave, phase velocity, phase and phase difference.
• Curve Fitting & Regression: Develop a functional relationship between variables, perform trend analysis, predict the dependent variable by the independent variable(s), optimize processes, fit response surface, analyze data from unplanned experiments, linear regression, six sigma, logistic regression, ridge regression, lasso regression, polynomial regression, model summary statistics.
• Genetic Algorithm: Stalagmite functions, initial population, fitness function, selection, crossover, mutation, the notion of natural selection, control parameters, genetic algorithm variants, selective mating by clustering, constraint handling.