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Jun 26th 2017

An introduction to dynamical modeling techniques used in contemporary Systems Biology research. We take a case-based approach to teach contemporary mathematical modeling techniques. The course is appropriate for advanced undergraduates and beginning graduate students. Lectures provide biological background and describe the development of both classical mathematical models and more recent representations of biological processes. The course will be useful for students who plan to use experimental techniques as their approach in the laboratory and employ computational modeling as a tool to draw deeper understanding of experiments.

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Jun 26th 2017

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

Average: 7.3 (6 votes)
Jun 19th 2017

Probabilistic graphical models (PGMs) are a rich framework for encoding probability distributions over complex domains: joint (multivariate) distributions over large numbers of random variables that interact with each other. These representations sit at the intersection of statistics and computer science, relying on concepts from probability theory, graph algorithms, machine learning, and more. They are the basis for the state-of-the-art methods in a wide variety of applications, such as medical diagnosis, image understanding, speech recognition, natural language processing, and many, many more. They are also a foundational tool in formulating many machine learning problems.

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Jun 5th 2017

This course provides an introduction to basic computational methods for understanding what nervous systems do and for determining how they function. We will explore the computational principles governing various aspects of vision, sensory-motor control, learning, and memory.

Average: 7.2 (5 votes)
Jun 5th 2017

The world needs people who understand how to get robots moving. Making robots move requires mathematical knowledge and programming skills. In this course, we get started on the problem of describing where things are in the world. We’ll start simply and consider the case of objects in a two-dimensional plane. We’ll then dive into control theory and begin to model dynamic systems including the electric motors and gearboxes that go into a robot. The skills you learn and the tools we use will be essential for completing the practical MATLAB exercises.

Average: 4.3 (3 votes)
May 15th 2017

Se presenta al alumno los paquetes de cálculo numérico más utilizados en la actualidad para el cálculo científico y la resolución de problemas de ingeniería: MATLAB y Octave. En particular se pretende conseguir el manejo de estas herramientas para el cálculo avanzado, el aprendizaje del lenguaje de programación M, propio de estos software, y creación de gráficos para visualización de resultados.

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Self Paced

Master the foundational math concepts that drive robotics and put them into practice using MATLAB. How do you create robots that operate well in the real world? Learn the key math concepts and tools used to design robots that excel in navigating our complex, unstructured world in environments such as aerospace, automotive, manufacturing and healthcare.

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Apr 3rd 2017

This course teaches computer programming to those with little to no previous experience. It uses the programming system and language called MATLAB to do so because it is easy to learn, versatile and very useful for engineers and other professionals. MATLAB is a special-purpose language that is an excellent choice for writing moderate-size programs that solve problems involving the manipulation of numbers.

Average: 9 (11 votes)
Sep 12th 2016

Learn the basics of Finite Element Method (FEM), a numerical solution for structural analysis, and demonstrate its applications with MATLB and ANSYS.

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Aug 1st 2016

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

Average: 5 (1 vote)
Jun 22nd 2016

An introductory course on statics and on the mechanical behavior of deformable structural elements like beams, shafts and rods. 2.01x introduces principles of structural analysis and strength of materials in applications to three essential types of load-bearing elements: bars in axial loading, axisymmetric shafts in torsion, and symmetric beams in bending.

Average: 9.3 (3 votes)
Mar 21st 2016

Ce cours contient les 7 premiers chapitres d'un cours donné aux étudiants bachelor de l'EPFL. Il est basé sur le livre "Introduction à l'analyse numérique", J. Rappaz M. Picasso, Ed. PPUR. Des outils de base sont décrits dans les 5 premiers chapitres. Les deux derniers chapitres abordent la question de la résolution numérique d'équations différentielles.

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Nov 18th 2015

Utilización de la herramienta de software matemático MatLab para asignaturas de primer curso de Ingenierías.

Average: 9 (5 votes)
Nov 16th 2015

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

Average: 5.5 (2 votes)
Nov 10th 2015

This MOOC explains how to model and simulate innovative ideas using MATLAB/Simulink and provides to you a number of methods suitable for modelling technical and economic systems and processes in a wide range of applications.

Average: 8.3 (11 votes)
Jan 5th 2015

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

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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 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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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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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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