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.
Este curso forma parte de Programa especializado: MATLAB Programming for Engineers and Scientists
23.703 ya inscrito
ofrecido por
Programa especializado: MATLAB Programming for Engineers and ScientistsUniversidad VanderbiltAcerca de este Curso
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Fechas límite flexibles
Restablece las fechas límite en función de tus horarios.
Certificado para compartir
Obtén un certificado al finalizar
100 % en línea
Comienza de inmediato y aprende a tu propio ritmo.
Nivel intermedio
Aprox. 56 horas para completar
Inglés (English)
Subtítulos: Árabe (Arabic), Francés (French), Portugués (europeo), Italiano, Vietnamita, Alemán (German), Ruso (Russian), Inglés (English), Español (Spanish)
Qué aprenderás
You will learn advanced concepts related to functions such as recursion and function handles.
You will learn how to write efficient programs.
You will learn the basics of Object Oriented Programming.
You will learn to write Live Scripts and create professional graphical user interfaces.
Fechas límite flexibles
Restablece las fechas límite en función de tus horarios.
Certificado para compartir
Obtén un certificado al finalizar
100 % en línea
Comienza de inmediato y aprende a tu propio ritmo.
Nivel intermedio
Aprox. 56 horas para completar
Inglés (English)
Subtítulos: Árabe (Arabic), Francés (French), Portugués (europeo), Italiano, Vietnamita, Alemán (German), Ruso (Russian), Inglés (English), Español (Spanish)
ofrecido por
Universidad Vanderbilt
Vanderbilt University, located in Nashville, Tenn., is a private research university and medical center offering a full-range of undergraduate, graduate and professional degrees.
Programa - Qué aprenderás en este curso
1 hora para completar
Introduction
1 hora para completar
1 video (Total 3 minutos), 4 lecturas
14 horas para completar
Functions Revisited
14 horas para completar
5 videos (Total 176 minutos), 12 lecturas, 9 cuestionarios
8 horas para completar
Potpourri
8 horas para completar
4 videos (Total 169 minutos), 6 lecturas, 5 cuestionarios
7 horas para completar
How to Write Efficient Code?
7 horas para completar
5 videos (Total 160 minutos), 4 lecturas, 5 cuestionarios
Reseñas
Principales reseñas sobre MASTERING PROGRAMMING WITH MATLAB
por AM10 de jul. de 2021
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.
por AS22 de ene. de 2021
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.
por AC1 de feb. de 2021
Surely The Best course on Coursera without any doubt. The topic arrangement is very good. Expecting some MATLAB Simulation ( Mechanical ) Course.
por AN19 de dic. de 2020
amazing course covers the topics deep enough yet simply explained. I recommend it for any one who wants to expand their knowledge on Matlab.
Acerca de Programa especializado: 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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