You will be introduced to MATLAB and you will be taught the basics of MATLAB by using a top-down approach. That is, you will start directly by solving problems and stop in the required places to learn about the fundamentals of programming.

• You will learn the MATLAB syntax and the various commands used in it.
• You will understand the methods and the ways to use the commands in different scenarios.
• You will learn to manipulate your own calculations and comparisons
• You will learn about the use of arrays.
• You will learn about the Functions used along with plotting, creating movies, creating figures etc

• You will animate the manipulator motion using ImageMagick.
• Here you will learn about the simulation part
• And you will learn how to create a movie clip along with the spatial motions of Robotic arm
• You will learn how the FOR loop plays a role in the programming
• And how the “hold on” command works
• And about the arrays and linspace commands

In this module, you will write code to simulate an Air Standard Cycle.

• Your code will solve the piston kinematics equation to calculate the volume trace.
• Your code will create PV diagrams for different operating conditions.
• You will learn how to work on various thermodynamic relationships
• You will learn about the pressure-volume variations.
• And you will learn how the order of the program is significant
• Functions can be cleared through this challenge
• You will also learn about the plots, legends used in the graphs
• Finally, you will learn about the piston kinematics

• Implement BDF and FDF methods to solve ODEs
• Learn about the real use of differential equations
• How the differential equations connect to the real-world applications and how to solve those differential equations
• You will learn about the ODE solvers, and also about the syntax of ODE’s, and also about various supplementary commands

• An engineer needs to understand the dependence between system input and output. Curve-fits are a great tool to do this. In this module, you will learn how to perform curve fits with MATLAB.
• Curve fits and regression are the part of Machine learning and Neural Networks
• Curve fitting helps you to make a comparison study with the original ideal data set with the experimental one 
• And you will learn about the polynomials and their best fits
• You will learn about the PolyFit and PolyVal commands
• You will know how to calculate the errors
• You will learn about SSR, SSE, SST

• Genetic Algorithm is a procedure to optimize multi-parameter systems. It is used to optimize different types of systems and processes
• You will learn about the optimization techniques used in industries
• Genetic Algorithm is one of the optimization techniques used widely and you will learn how GA works
• You can easily optimize their values using the Genetic Algorithm
• You will know about the GA syntax and how to get the global maxima 
• You will also learn about the options, they can include apart from the default one and also about the stalagmite functions and how it works
• And also about the population size, number of generations, fitness value, and termination of further generations