E.g., Tuesday, September 2, 2014
E.g., Tuesday, September 2, 2014
E.g., Tuesday, September 2, 2014
Aug 26th 2014

Investigate the flexibility and power of project-oriented computational analysis, and enhance communication of information by creating visual representations of scientific data.

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Jun 3rd 2014

A first course on statics and on the mechanical behavior of structural elements.

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May 26th 2014

En este curso vamos a aprender a escribir nuestros propios programas, usando software libre. Vamos a usar el lenguaje M, disponible en los paquetes MATLAB y Octave UPM, que son ampliamente usados en ciencias e ingeniería. No es necesario tener ningún conocimiento previo para seguir el curso, y al finalizar, habrás sido capaz de tomar las riendas de tu ordenador y escribir tus propios programas, incluso con gráficos sencillos.

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Apr 28th 2014

Learn the fundamentals of digital signal processing theory and discover the myriad ways DSP makes everyday life more productive and fun.

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Apr 22nd 2014

How can I build a robot, construct a space station on Mars or realise an adventurous new business venture? There can be no progress or innovation without modelling and simulation. Now you can learn how to design, prove and plan just about everything.

7.5
Average: 7.5 (2 votes)
Apr 6th 2014

This introduction to engineering course will help you learn modeling and analysis techniques for electrical, mechanical, and chemical systems and discover how engineered systems that seem very different are actually very similar.

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Feb 17th 2014

Ce cours contient les 7 premiers chapitres d'un cours donné aux étudiants bachelor de l'EPFL.

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Jan 21st 2014

This course concentrates on recognizing and solving convex optimization problems that arise in applications. The syllabus includes: convex sets, functions, and optimization problems; basics of convex analysis; least-squares, linear and quadratic programs, semidefinite programming, minimax, extremal volume, and other problems; optimality conditions, duality theory, theorems of alternative, and applications; interior-point methods; applications to signal processing, statistics and machine learning, control and mechanical engineering, digital and analog circuit design, and finance.

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Jan 10th 2014

Understanding how the brain works is one of the fundamental challenges in science today. This course will introduce you to basic computational techniques for analyzing, modeling, and understanding the behavior of cells and circuits in the brain.

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Jan 6th 2014

Exploratory and objective data analysis methods applied to the physical, engineering, and biological sciences.

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Sep 4th 2013

This course is about learning to program well: building programs that are elegant, well tested and easy to maintain. The course is intended for students with no programming experience, but many former students who already knew how to program have said it made them better programmers.

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Apr 8th 2013

In this class, you will learn the basics of the PGM representation and how to construct them, using both human knowledge and machine learning techniques.

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Jan 28th 2013

This course delivers a systematic overview of computer vision, emphasizing two key issues in modeling vision: space and meaning.

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