The course builds on the foundation laid by the first course of the Specialization called “Introduction to Programming with MATLAB.” It covers more advanced programming concepts such as recursion, vectorization, function handles, algorithm efficiency and others. At the same time, it presents many features that make MATLAB a powerful programming environment for engineering and scientific computing, such as its support for object oriented programming, the new user interface design environment and Live Scripts.
Informações sobre o curso
Vanderbilt University, located in Nashville, Tenn., is a private research university and medical center offering a full-range of undergraduate, graduate and professional degrees.
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Principais avaliações do MASTERING PROGRAMMING WITH MATLAB
The course was excellent and the assignments were all challenging. That is why they made us self-confident and creative. Thank you so much for this outstanding course.
I have followed several lectures about MATLAB. But this course is the Best in learning MATLAB. Now I am starting for the 3rd part of this specialization.
Excellent. But it requires a lot of work and research. It's really like watching work out instructors on TV. You have to do it yourself to get results.
Surely The Best course on Coursera without any doubt. The topic arrangement is very good. Expecting some MATLAB Simulation ( Mechanical ) Course.
Sobre Programa de cursos integrados MATLAB Programming for Engineers and Scientists
This Specialization aims to take learners with little to no programming experience to being able to create MATLAB programs that solve real-world problems in engineering and the sciences. The focus is on computer programming in general, but the numerous language features that make MATLAB uniquely suited to engineering and scientific computing are also covered in depth. Topics presented range from basic programming concepts in the first course, through more advanced techniques including recursion, program efficiency, Object Oriented Programming, graphical user interfaces in the second course, to data and image analysis, data visualization and machine learning in the third course.
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