La plupart des cours sont en anglais (sauf sur FUN, en français), et nécessitent une bonne connexion internet car basés sur des vidéos pour la grande majorité. The Violent Universe. Please note that this course is self-paced and you can enroll at any time. The course itself is 9 weeks long and certificates are generated and distributed to learners who meet the 50% requirement every 3 months. The next scheduled dates for certificates to be released are 1st March 2015 and 1st June 2015. Interested in exploring the deadliest and most mysterious parts of our universe? Or, investigating black holes, which warp the very fabric of space-time around them?
We will look at what we know about these objects, and also at the many unsolved mysteries that surround them. This course is designed for people who would like to get a deeper understanding of astronomy than that offered by popular science articles and television shows. You will need reasonable high-school level Maths and Physics to get the most out of this course. Differential Equations in Action Class Online. When does the course begin? This class is self paced. You can begin whenever you like and then follow your own pace. It’s a good idea to set goals for yourself to make sure you stick with the course. How long will the course be available? This class will always be available!
How do I know if this course is for me? Take a look at the “Class Summary,” “What Should I Know,” and “What Will I Learn” sections above. Can I skip individual videos? Yes! How much does this cost? It’s completely free! What are the rules on collaboration? Collaboration is a great way to learn. Why are there so many questions? Udacity classes are a little different from traditional courses. What should I do while I’m watching the videos? Learn actively! Coursera.org. Volcanic Eruptions: a material science. About the Course Geoscientists define a “living planet” as one with active volcanism.
By this definition our Earth is very much alive, with many eruptions each year and with a far greater number of “active volcanoes” that can potentially erupt in any given year. In detail, each eruption is different. Every volcano is its own physical and chemical system, occurs in its own geological location, is subjected to its local stress field, and is at its own stage in evolution in geological time. Yet powerful generalisations and models of volcanic eruptions are indeed possible and in fact very useful in dealing with the consequences of volcanic eruptions.
How are such models constructed? In addition to field observations of past eruptions, monitoring of signals from magmatic systems, and computer-based simulation of volcanic eruptions, increasingly, high pressure and high temperature experiments are employed in order to answer the question of how volcanic systems work. Course Syllabus. The Dynamic Earth: A Course for Educators. About the Course The AMNH course The Dynamic Earth: A Course for Educators provides students with an overview of the origin and evolution of the Earth. Informed by the recently released Next Generation Science Standards, this course examines geological time scales, radiometric dating, and how scientists “read the rocks.” We will explore dramatic changes in the Earth over the last 4 billion years, including how the evolution of life on Earth has affected its atmosphere. In addition to looking at geology on a global scale, participants will take to their own backyards to explore and share their local geologic history.
Course participants will bring their understanding of the dynamic Earth - along with content resources, discussion questions, and assignments - into their own teaching. Verified Certificates: Link Coursework to Your Identity Personal Certificate URLShareable Course Records"Add to LinkedIn" FeatureDedicated Technical Support Course Syllabus Recommended Background Course Format.
FUN - France Université Numérique. Optimisation Stochastique Évolutionnaire » Les algorithmes évolutionnaires (algorithmes génétiques, stratégies d’évolution, programmation génétique) sont parmi les meilleurs algorithmes actuels d’optimisation approchée. Ils sont de plus en plus utilisés dans l’industrie pour leur performance et leur capacité à trouver rapidement de bonnes solutions à des problèmes difficiles, mal posés, multi-critères et pour leur capacité à exploiter des ordinateurs parallèles, massivement parallèles et des écosystèmes de calcul potentiellement hétérogènes.
De nombreux problèmes sont “difficiles”, au sens où l’on ne leur connaît pas de solution simple et malheureusement, cela concerne de nombreux problèmes industriels (optimisation de tournées pour livrer des colis, comment tailler des diamants pour minimiser les pertes, comment trouver le modèle mathématique d’un aéronef, comment trouver des lois de commandes prédictives, comment trouver des solutions à des problèmes inverses, ...). Que faire alors ? EdX - online courses and classes from the world's best. Introduction to Anatomy: Musculoskeletal Cases.
Fundamentals of Neuroscience Part 2: Neurons and Networks.