Learn MATLAB from Edx

Edx offers you 20 courses, to learn MATLAB now!

Edx, is a massive open online course (MOOC) provider. It hosts online university-level courses in a wide range of disciplines to a worldwide student body, including some courses at no charge. It also conducts research into learning based on how people use its platform. EdX is a nonprofit organization and runs on the free Open edX open-source software platform.The Massachusetts Institute of Technology and Harvard University created edX in May 2012. More than 140 schools, nonprofit organizations, and corporations offer or plan to offer courses on the edX website. As of 29 December 2018, edX has around 18 million students taking more than 2,200 courses online. - read more on Wikipedia

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Einführung in MATLAB

In diesem MOOC vermitteln wir den Umgang mit und das aktive Nutzen von MATLAB anhand typischer Problemstellungen aus der Ingenieurmathematik^ wie sie typischerweise im 1. Semester für Studierende von Ingenieurwissenschaften unterrichtet wird.

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MATLAB and Octave for Beginners

Learn MATLAB and Octave and start experimenting with matrix manipulations^ data visualizations^ functions and mathematical computations.

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MATLAB et Octave pour débutants

Premiers pas dans MATLAB et Octave avec un regard vers le calcul scientifique.

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Machine Dynamics with MATLAB

Are you keen to design a vehicle suspension using MATLAB? In this course^ you will start at the very beginning of dynamic modelling^ simulation and analysis of a technical system using different MathWorks products.

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Differential Equations: Linear Algebra and NxN Systems of Differential Equations

Learn how to use linear algebra and MATLAB to solve large systems of differential equations.

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Robotics: Kinematics and Mathematical Foundations

Master the foundational math concepts that drive robotics and put them into practice using MATLAB.

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Biochemistry: Biomolecules^ Methods^ and Mechanisms

Enhance your scientific thinking and data analysis skills with this in-depth adventure through biochemistry.

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Computational Data Analysis

This course is designed to give graduate students a thorough grounding in the methods^ theory^ mathematics and algorithms needed to do research and applications in machine learning.

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Differential Equations: Fourier Series and Partial Differential Equations

Learn to use Fourier series to solve differential equations with periodic input signals and to solve boundary value problems involving the heat equation and wave equation.

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Discrete Time Signals and Systems^ Part 1: Time Domain

Enter the world of signal processing: analyze and extract meaning from the signals around us!

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FA19: Computational Data Analysis

<p>This course is designed to give graduate students a thorough grounding in the methods^ theory^ mathematics and algorithms needed to do research and applications in machine learning.</p>

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LAFF – On Programming for Correctness

<p>Learn to apply formal methods to systematically develop correct^ loop-based programs^ an essential skill for computer programmers.</p>

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