# Teaching & Learning Ressources

Rosalind. Discrete-time Markov Chains. Much of how we interact with life could be described as transitions between states.

These states could be weather conditions (whether we are in a state of “sunny” or “rainy”), the places we may visit (maybe “school”, “the mall”, “the park” and “home”), our moods (“happy”, “angry”, “sad”). There are a number of other ways to model states and even the possibility of infinitely many states. Markov Chains are based on the principle that the future is only dependent on the immediate past. so for example, if I wished to predict tomorrow’s weather using a Markov Chain, I would need to only look at the weather for today, and can ignore all previous data. I would then compare the state of weather for today with historically how weather has changed in between states to determine the most likely next state (i.e what the weather will be like tomorrow). This greatly simplifies the construction of models. Fourier series. Open-source, distributed deep learning for the JVM.

Content: This post introduces eigenvectors and their relationship to matrices in plain language and without a great deal of math.

It builds on those ideas to explain covariance, principal component analysis, and information entropy. The eigen in eigenvector comes from German, and it means something like “very own.” For example, in German, “mein eigenes Auto” means “my very own car.” So eigen denotes a special relationship between two things. Matrices, in linear algebra, are simply rectangular arrays of numbers, a collection of scalar values between brackets, like a spreadsheet. Éduthèque - Partenaire Sciences et techniques  Nouvelles simulations - Simulations PhET. Markov Chain Monte Carlo Without all the Bullshit. I have a little secret: I don’t like the terminology, notation, and style of writing in statistics.

I find it unnecessarily complicated. This shows up when trying to read about Markov Chain Monte Carlo methods. Take, for example, the abstract to the Markov Chain Monte Carlo article in the Encyclopedia of Biostatistics. Markov chain Monte Carlo (MCMC) is a technique for estimating by simulation the expectation of a statistic in a complex model. Pixees: Accueil. Eigenvectors and eigenvalues explained visually. Loading [MathJax]/jax/output/HTML-CSS/jax.js Explained Visually By Victor Powell and Lewis Lehe Eigenvalues/vectors are instrumental to understanding electrical circuits, mechanical systems, ecology and even Google's PageRank algorithm.

Let's see if visualization can make these ideas more intuitive. To begin, let v be a vector (shown as a point) and A be a matrix with columns a1 and a2 (shown as arrows). Aquent Gymnasium. Guide des 181 MOOC francophones - Cours en ligne en français. Home - Scientix. Janet Iwasa. PBIL database. Editions ENI. Persée : Portail de revues en sciences humaines et sociales. France Université Numérique - FUN. KhanAcademy. EdX - online courses and classes from the world's best. Courses MIT. Opening up education through innovation.

Physion - Physics Simulation Software. Physique et simulation. Understanding Evolution. GNIS-Pédagogie. L'homme commence à améliorer les plantes lorsqu'il se sédentarise, il y a 10 000 ans.

C'est le début de l'agriculture : il cultive les plantes pour son alimentation et pratique alors une sélection en choisissant, de manière empirique, de ressemer les plus beaux grains des plantes les plus intéressantes. A la fin du 19e siècle, l'homme réalise les premiers croisements de parents choisis. L'avancée des connaissances et les progrès technologiques ont depuis permis l'évolution des techniques de sélection. Ceci s'est traduit plus récemment par l'intégration des biotechnologies dans les programmes de sélection. Teaching evolution. MNHN : Enseignement supérieur. Population Biology Simulations. Darwin Webcomics. Webcomics.fr: publiez vos BD en ligne Connexion Darwin Sommaire RSS Première époque Le tour du Monde sur le Beagle.

Online Video Streaming Archive. For selected articles and letters Nature presents streaming videos featuring interviews with scientists behind the research and analysis from Nature editors.

To view the videos you will need the free Flash browser plugin. You can also visit the Nature Video YouTube channel which enables you to easily embed and share our videos through websites, mobile devices, blogs and email. Tell us what you think of Nature's online video at nature@nature.com. Resources for Teaching Biology.

The Sourcebook for Teaching Science This book provides science educators with a comprehensive selection of innovative tools, activities, and high-quality instructional resources for enlivening lessons across the science disciplines.

It features over 300 classroom-ready activities ranging from word-based problem-solving exercises to hands-on laboratory experiments and includes examples drawn from biology, physics, chemistry, and the geosciences, all linked to National Science Education Standards. The chapter titles and related resources may be found in the column on the right. Fields of Biological Study Resources & References Professional Groups - Associations for the biology teacher Reference Data - Constants, equations, standards... National Association Biology Teacher. Regional Student Groups. In 2006, the Student Council conceptualized 'Regional Student Groups (RSGs)' with the aim to promote interaction among students pursuing research in the field of Bioinformatics and Computational Biology.

Over the past few years, SC has successfully established 9 RSGs globally and the number is on a steady rise. Presently, the RSGs comprise of more than 1500 members across the world.