Les structures mécaniques qui nous entourent (automobile, avion, ponts…), se déforment sous l’effet de chargements extérieurs. Le rôle du concepteur est de faire en sorte que ces déformations ne nuisent pas au bon fonctionnement des structures.

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Sep 11th 2017

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In this course you will learn a whole lot of modern physics (classical and quantum) from basic computer programs that you will download, generalize, or write from scratch, discuss, and then hand in. Join in if you are curious (but not necessarily knowledgeable) about algorithms, and about the deep insights into science that you can obtain by the algorithmic approach.

Syllabus

Week 1: Monte Carlo algorithms (Direct sampling, Markov-chain sampling)

Week 2: Hard disks: From Classical Mechanics to Statistical Mechanics

Week 3: Entropic interactions and phase transitions

Week 4: Sampling and integration

Week 5: Density matrices and Path integrals (Quantum Statistical mechanics 1/3)

Week 6: Lévy Quantum Paths (Quantum Statistical mechanics 2/3)

Week 7: Bose-Einstein condensation (Quantum Statistical mechanics 3/3)

Week 8: Ising model - Enumerations and Monte Carlo algorithms

Week 9: Dynamic Monte Carlo, simulated annealing

Week 10: The Alpha and the Omega of Monte Carlo, Review, Party

or

Oct 2nd 2017

Les structures mécaniques qui nous entourent (automobile, avion, ponts…), se déforment sous l’effet de chargements extérieurs. Le rôle du concepteur est de faire en sorte que ces déformations ne nuisent pas au bon fonctionnement des structures.

Self Paced

Join us on the frontier of bioinformatics and learn how to look for hidden messages in DNA without ever needing to put on a lab coat. In the first half of this course, we'll investigate DNA replication, and ask the question, where in the genome does DNA replication begin? You will learn how to answer this question for many bacteria using straightforward algorithms to look for hidden messages in the genome.

Self Paced

Gain a solid understanding of statistics and basic probability, using Excel, and build on your data analysis and data science foundation. If you’re considering a career as a data analyst, you need to know about histograms, Pareto charts, Boxplots, Bayes’ theorem, and much more. In this applied statistics course, the second in our Microsoft Excel Data Analyst XSeries, use the powerful tools built into Excel, and explore the core principles of statistics and basic probability—from both the conceptual and applied perspectives.

Self Paced

Learn the science, engineering practices and hacking techniques of data access – core aspects of information processing in a database. This course is about data storage and data processing technologies with examples from PostgreSQL. It is geared toward database core developers, operation systems developers, system architects, and all those who want to understand databases in more detail.

Sep 26th 2017

Learn methods for harnessing and analyzing data to answer questions of cultural, social, economic, and policy interest. This statistics and data analysis course will introduce you to the essential notions of probability and statistics.

Self Paced

Learn to program with Java in an easy and interactive way! In this introductory Java programming course, you will be introduced to powerful concepts such as functional abstraction, the object oriented programming (OOP) paradigm and Application Programming Interfaces (APIs). Examples and case studies will be provided so that you can implement simple programs on your own or collaborate with peers.

Sep 25th 2017

Inferential statistics are concerned with making inferences based on relations found in the sample, to relations in the population. Inferential statistics help us decide, for example, whether the differences between groups that we see in our data are strong enough to provide support for our hypothesis that group differences exist in general, in the entire population.

Sep 25th 2017

This course begins a series of classes illustrating the power of computing in modern biology. Please join us on the frontier of bioinformatics to look for hidden messages in DNA without ever needing to put on a lab coat.

Sep 25th 2017

This class presents the fundamental probability and statistical concepts used in elementary data analysis. It will be taught at an introductory level for students with junior or senior college-level mathematical training including a working knowledge of calculus. A small amount of linear algebra and programming are useful for the class, but not required.

Sep 25th 2017

How do Java programs deal with vast quantities of data? Many of the data structures and algorithms that work with introductory toy examples break when applications process real, large data sets. Efficiency is critical, but how do we achieve it, and how do we even measure it? In this course, you will use and analyze data structures that are used in industry-level applications, such as linked lists, trees, and hashtables.

Sep 25th 2017

Most of the phenomena in the world around you are, at the fundamental level, based on physics, and much of physics is based on mechanics. Mechanics begins by quantifying motion, and then explaining it in terms of forces, energy and momentum. This allows us to analyse the operation of many familiar phenomena around us, but also the mechanics of planets, stars and galaxies.

Sep 25th 2017

With every smartphone and computer now boasting multiple processors, the use of functional ideas to facilitate parallel programming is becoming increasingly widespread. In this course, you'll learn the fundamentals of parallel programming, from task parallelism to data parallelism. In particular, you'll see how many familiar ideas from functional programming map perfectly to to the data parallel paradigm.

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“MOOC List” is an aggregator (directory) of Massive Open Online Courses (MOOCs) from different providers.

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- MOOC stands for a Massive Open Online Course.
- It is an online course aimed at large-scale participation and open (free) access via the internet.
- They are similar to university courses, but do not tend to offer academic credit.
- A number of web-based platforms (providers Aka initiatives) supported by top universities and colleges offer MOOCs in a wide range of subjects.

MOOCs – Massive Open Online Courses – enable students around the world to take university courses online. This guide, by the instructors of edX’s most successful MOOC in 2013-2014, Principles of Written English (based on both enrollments and rate of completion), advises current and future students how to get the most out of their online study, covering areas such as what types of courses are offered and who offers them, what resources students need, how to register, how to work effectively with other students, how to interact with professors and staff, and how to handle assignments. This second edition offers a new chapter on how to stay motivated. This book is suitable for both native and non-native speakers of English, and is applicable to MOOC classes on any subject (and indeed, for just about any type of online study).