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École Centrale Paris Courses

Since its creation in 1829, Ecole Centrale Paris, a French Ivy League "Grande Ecole" has trained high-level engineers. Its many prominent alumni have become company directors, senior management and experts in the fields of technology. The quality and commitment of its 2500 students, 270 tenured faculty, and 1000 part-time lecturers and international professors ensure that the school maintains only the highest standards of instruction and research. The Centralian academic program is based on an integrated multidisciplinary approach which blends scientific and technical essentials with the social and human realities of today's global challenges. We take pride in training our students to adapt to change, to master the complexity of organizations and to understand and anticipate the technologies of tomorrow.

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Développement durable

Développement durable

0

Class Central TipsLearn How to Sign up to Coursera courses for free1600+ Coursera Courses That Are Still Completely FreeL'ambition du cours est de confronter ses participants aux enjeux techniques, économiques, sociaux et environnementaux du XXIe siècle. Ces enjeux sont par nature très fortement couplés et complexes. Ils exigent une approche interdisciplinaire, afin d’adopter un vrai questionnement, au delà des préjugés et des idées reçues. C’est pourquoi des spécialistes reconnus dans les domaines de l’économie, de la démographie, de l’énergie, du climat, de l’eau et de l’agriculture, et issus des meilleurs institutions et centres de recherche français (CentraleSupélec, INED, Cnam, CEA, AgroParisTech), interviendront avec la volonté de confronter leurs points de vue et de débattre avec vous. La démarche générale du cours consistera à examiner les enjeux du développement durable au regard d’études scientifiques rigoureuses et récentes, pour : •donner et discuter des chiffres clés (de l’état des lieux aux futurs possibles) ; •comprendre la construction de ces chiffres (hypothèses et limites des modèles scientifiques sur lesquels ils reposent) ; •et aborder l’ensemble des enjeux dans leurs différentes dimensions (notamment de l’échelle locale à l’échelle mondiale). Le format du cours :Hebdomadaire, sur 7 semaines, 1h de vidéo par semaine (sous-titres en français et an anglais) avec quiz et supports de cours, forum (dont FAQ). Effort estimé : 3 heures par semaine pendant 7 semaines (1h30 de travail sur vidéo et 1h30 de lectures). Animation de la communauté d'apprenants : le forum sera animé par l’équipe enseignante.Responsable du cours : Pascal Da Costa : Enseignant-Chercheur, Economiste, Professeur chargé de cours à CentraleSupélec campus de Châtenay-Malabry (ex Ecole Centrale Paris).Plan du cours : •Économie, avec Pascal Da Costa (CentraleSupélec). •Démographie, avec Gilles Pison (Institut National d’Etudes Démographiques). •Énergie et Ressources Minérales, avec Estelle Iacona (CentraleSupélec) et Jean-Pierre Chevalier (Cnam). •Climat, avec Valérie Masson-Delmotte (Laboratoire des Sciences du Climat et de l'Environnement). •Eau, avec Claire Bordes (CentraleSupélec). •Agriculture, avec Marc Dufumier (AgroParisTech).

Coursera
8 weeks long
past
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Two Speed IT: How Companies Can Surf the Digital Wave, a BCG Perspective

Two Speed IT: How Companies Can Surf the Digital Wave, a BCG Perspective

0

Class Central TipsLearn How to Sign up to Coursera courses for free1600+ Coursera Courses That Are Still Completely FreeTransform or disappear, the Darwinism of IT: In order to adapt to a digital world, a two-speed IT is needed.Despite the importance of IT in today’s digital world, Chief Information Officers (CIOs) often struggle to get their voices heard by executive committees.Faced with this challenge, IT departments are being forced to reinvent themselves to adapt their companies to the fast paced evolution of technology. The Boston Consulting Group has developed a business approach that allows IT to shed off its appearance of a heavy cost center and to adopt a new, more realistic persona as a quality service provider, partnering with users and the management.Would you be a professional, a student in engineering, a student in a business schools or would you just be interested in digital transformation and its implications on IT, Learn with three BCG experts why and how to manage an IT department as a business in order to transform a company and adapt it to a digital world.Join the conversation: #2SpeedIT

Coursera
7 weeks long, 14 hours worth of material
upcoming
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Discrete Inference and Learning in Artificial Vision

Discrete Inference and Learning in Artificial Vision

2.5

Class Central TipsLearn How to Sign up to Coursera courses for free1600+ Coursera Courses That Are Still Completely FreeArtificialvision applications, such as object detection in natural images and automaticsegmentation of medical acquisitions, rely on models that interpret the visualinformation provided to a computer. The model provides a compromise between thesupport given by the observations and the prior domain knowledge. This courseis concerned with the two computational problems that arise when using such modelsin practice.Inference(Energy Minimization):Given a visual observation (for example, an image or an MRI scan), weare interested in estimating its most likely interpretation (i.e. the location of allthe objects in the image, or the segments of the MRI scan) according to themodel. While the problem cannot be solved optimally, we will describe state of the art approximate algorithms that provide very accurate solutions inpractice. While the theoretical properties of the algorithms will be discussedbriefly, the main emphasis will be on their application. Learning(Parameter Estimation):Given a set of training samples consisting of inputs and their desiredoutputs, (for example, images and the location of the objects, or MRI scans andtheir segmentations) we would like to estimate a model that is suited to thetask at hand. We will show how the problem of learning a model can beformulated as empirical risk minimization. Furthermore, we will presentefficient algorithms for solving the corresponding optimization problem.

Coursera
2-3 hours a week
past
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On Strategy : What Managers Can Learn from Philosophy - PART 1

On Strategy : What Managers Can Learn from Philosophy - PART 1

4.4

Class Central TipsLearn How to Sign up to Coursera courses for free1600+ Coursera Courses That Are Still Completely FreeIn the expression “creative thinking”, the keyword is not creativity; the keyword is thinking. With the help of great philosophers, you will rediscover the art of thinking.To help leaders to be rigorous even without figures, great philosophers have lots of ideas. Managers are invited to rediscover the art of thinking. They should understand the role of mental models, realize the importance of cognitive bias, agree on clear definitions and efficient criteria etc. Creativity demands the ability to unshackle ourselves from conventional ways of thinking, to "think outside the box". But we need to go a step further. Once outside the box, we need to construct a new box or boxes (that is, new intellectual frameworks or models) to help us structure our thinking. Only once we have done so can we generate truly game-changing ideas.

Coursera
9 weeks long, 13 hours worth of material
upcoming
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Développement Durable

Développement Durable

0

L’ambition du cours est de confronter ses participants aux enjeux techniques, économiques, sociaux et environnementaux du XXIe siècle.Ces enjeux sont par nature très fortement couplés et complexes. Ils exigent une approche interdisciplinaire, afin d’adopter un vrai questionnement, au delà des préjugés et idées reçues.C’est pourquoi des spécialistes reconnus dans les domaines de l’économie, de la démographie, de l’énergie, du climat, de l’eau et de l’agriculture, et issus des meilleurs institutions et centres de recherche français (ECP, INED, Cnam, CEA, AgroParisTech), interviendront avec la volonté de confronter leurs points de vue et de débattre avec vous.La démarche générale du cours consistera à examiner les enjeux du développement durable au regard d’études scientifiques rigoureuses et récentes, pour :donner et discuter des chiffres clés (de l’état des lieux aux futurs possibles);comprendre la construction de ces chiffres (hypothèses et limites des modèles scientifiques sur lesquels ils reposent);et aborder l’ensemble des enjeux dans leurs différentes dimensions… de l’échelle locale à l’échelle mondiale.

France Université Numerique
7 weeks long
past
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On Strategy: What Managers can learn from Philosophy - Part 2

On Strategy: What Managers can learn from Philosophy - Part 2

4.7

Class Central TipsLearn How to Sign up to Coursera courses for free1600+ Coursera Courses That Are Still Completely FreeThis entire MOOC is based on one of my strongest beliefs: philosophy is the best tool to help managers in areas where no numbers are available. After all a strategic vision is an "idea", it is translated into a "concept", a business model is a … "model" etc. And we need to better understand what is an idea, what is a concept, what is a model etc. In other words we need to better understand how do we think. In the first six lectures we made a surprising journey from the ancient Greek philosophers to the corporate world of today. You probably crossed a set of "new territories" but honestly, it was the same for me ! Apparently this experience has no end in sight! The first six lectures are broadcasted for a second time during this fall and I had the chance to record three additional lectures last September. Not a surprise: philosophy is like a country you want to visit, there are always new roads to discover and even new paths to create. It is highly recommended to have attended lectures 1-6 to take the most out of this part 2.In lecture 7, I examine the deep nature of the changes the world is currently facing and the associated challenges for us. Lecture 8 focus on one of them: the impact of technology on the way we think. In the last lecture I suggest some tips that might help you to become a better manager, in other words to become a corporate philosopher.Evaluations will be similar to the ones you had so far: open questions that request some research. At the end of lecture 9, I will again ask you to submit a short paper about a famous quote of a great philosopher. Moreover, we will organize a Google Hangout during lecture 8.

Coursera
3 weeks long, 2-3 hours a week
past
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Build Your First Android App (Project-Centered Course)

Build Your First Android App (Project-Centered Course)

3.8

Class Central TipsLearn How to Sign up to Coursera courses for free1600+ Coursera Courses That Are Still Completely FreeWhat you’ll achieve:In this project-centered course*, you’ll design, build, and distribute your own unique application for the Android mobile platform. We’ll provide you with a set of customizable building blocks that you can assemble to create many different types of apps, and that will help you become familiar with many important specificities of Android development. When you complete the project, in addition to having a personalized app that you can use and share, you’ll have the skills and background you need to move on to more advanced coursework in Android development. What you’ll need to get started:This project-centered course is designed for learners who have some prior experience programming in Java, such as an introductory college course or Coursera’s Java Programming Specialization (https://www.coursera.org/specializations/java-programming).You will need a computer with a stable Internet connection, but you will not need an Android phone - we’ll use free software that you can use to emulate a phone on your computer. We'll use Android Studio as IDE; it is compatible with most computer and operating systems. You can find detailed system requirements here: https://developer.android.com/sdk/index.html#Requirements.*About Project-Centered Courses: Project-centered courses are designed to help you complete a personally meaningful real-world project, with your instructor and a community of learners with similar goals providing guidance and suggestions along the way. By actively applying new concepts as you learn, you’ll master the course content more efficiently; you’ll also get a head start on using the skills you gain to make positive changes in your life and career. When you complete the course, you’ll have a finished project that you’ll be proud to use and share. Time: 10 hours of study, 10 hours of active project work

Coursera
4 weeks long, 22 hours worth of material
ongoing
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An Introduction to Functional Analysis

An Introduction to Functional Analysis

4.2

Class Central TipsLearn How to Sign up to Coursera courses for free1600+ Coursera Courses That Are Still Completely FreeFunctional analysis is the branch of mathematics dealing with spaces offunctions. It is a valuable tool in theoretical mathematics as well asengineering. It is at the very core of numerical simulation.In this class, I will explain the concepts of convergence and talk abouttopology. You will understand the difference between strong convergenceand weak convergence. You will also see how these two concepts can be used.You will learn about different types of spaces including metric spaces,Banach Spaces, Hilbert Spaces and what property can be expected. You willsee beautiful lemmas and theorems such as Riesz and Lax-Milgram and I willalso describe Lp spaces, Sobolev spaces and provide a few details aboutPDEs, or Partial Differential Equations.

Coursera
8 weeks long, 6-8 hours a week
past
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