Courses tagged with "Free" (185)
Le théâtre classique du 17e siècle passe pour le sommet de l’art du théâtre en France. Ses trois représentants les plus connus, Corneille et Racine pour la tragédie et Molière pour la comédie comptent parmi les plus grands dramaturges européens de tous les temps, et Molière reste l’un des auteurs les plus joués dans le monde.
Pour vous les faire découvrir, nous vous emmènerons dans l’environnement historique, sociologique, culturel et littéraire qui les a vu naître. Nous retracerons ainsi l’histoire du « théâtre moderne » depuis sa naissance au milieu du 16e siècle jusqu’aux plus brillantes années du «siècle de Louis XIV» (2e moitié du 17e siècle).
Nous examinerons ainsi les fondements de l’expression «théâtre classique», les fondements du système qui a vu naître les « règles classiques », les fondements d’un dialogue théâtral qui repose entièrement sur « l’alexandrin classique ». Et nous ferons apparaître les tensions créatrices (entre la théorie et la pratique, entre les règles et le refus des règles, entre le texte et le spectacle, entre le classicisme et le baroque, entre la tragédie et l’opéra) qui ont façonné le théâtre de cette période.
Enfin, en vous accompagnant dans la lecture des quelques chefs-d’œuvre qui ont créé une rupture esthétique et marqué les esprits, nous vous ferons pénétrer avec nous dans l’atelier créateur des plus grands dramaturges de l’âge d’or du théâtre français.
Pièces de théâtre à lire: Le Cid et Cinna de Corneille / Les Précieuses ridicules, L’École des femmes et Tartuffe de Molière / Andromaque et Phèdre de Racine.
Ces textes sont tous disponibles en éditions de poche (choisir de préférence «Folio classique” et «Folio Théâtre» ou «Le Livre de poche Classique». On peut les lire aussi en ligne sur le site: http://www.theatre-classique.fr/pages/programmes/PageEdition.php
Nous vous invitons à découvrir avec nous d’où viennent ces trois auteurs, comment ils se sont construits, comment ils se sont distingués des plus brillants dramaturges de leur temps. Et nous vous montrerons quels sont les ingrédients qui ont permis à leurs œuvres d’avoir été sans cesse lues et jouées jusqu’à aujourd’hui — et cela, alors même que de nombreux éléments-clés (l’obéissance à des «règles» et l’usage du vers dit «alexandrin», en particulier) ont disparu depuis longtemps.
In this course, you will learn how to apply accounting and federal income tax principles to project earnings and cash flows, specifically of the post-combination entity.
To drive concepts home, you will work on real world examples and journal entries for common to complex M&A accounting treatments.
This course is part of the New York Institute of Finance’s popular Mergers & Acquisitions Professional Certificate program.
In this computer science course, you will learn how to design, develop and test device-friendly websites using CSS, one of the core technologies used for building web pages. You’ll also learn how to use Flexbox, SVG images, linting and other web developer tools to enhance your web pages.
This course is intended for:
- People who want to make a living (or side-income) from web page design/development.
American politics has all the aspects of drama, but it has real meaning for people’s everyday lives.
What are the foundations of the U.S. political system? How do leading institutions such as the presidency and Congress operate? Where do public opinion, political parties, groups, and the media fit in? What explains America’s economic, social, and foreign policies?
If exploring these questions interests you, then this is the course for you. This course is an introduction to the U.S. government that draws on political science and cases—such as the Iraq invasion and health care reform—to explain how the U.S. government system works.
No previous study of American politics needed. Join us on a journey into the heart of the U.S. governing system. This course is ideal for:
- College and advanced placement high school students looking for an introduction to American government.
- U.S.-based political science and government teachers looking for a way to augment their own courses.
- Global teachers and educators looking to explain the American political system to their students and citizens.
- Citizens in the U.S. and abroad who want to understand the workings of the U.S. political system.
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Do you want to be more reflective in your teaching practice and wonder if there are technologies that can help? Are you curious about how data-driven, evidence-based teaching practices can improve your students’ learning? This is the course for you!
Analytics for the Classroom Teacher is an introduction to the emerging field of teaching and learning analytics from the perspective of a classroom teacher.
Experts from all over the world will provide an overview of the current state-of-the-art in teaching and learning analytics. You’ll learn how teachers, curriculum developers and policy makers are collecting and analysing data from the classroom to help guide decisions at all levels.
The course will then focus on the school teacher, and how data analytics can help you to make improvements in your classroom.
You’ll learn to use analytics to improve your lesson plans and your delivery of those plans, and discover more about your students' learning.
No previous knowledge in data-driven instruction, teaching and learning analytics is needed. Join us and a large community of innovative teachers from around the globe and become a pioneer of teaching and learning analytics in your school.
This course is part of the Microsoft Professional Program Certificate in Data Science.
Excel is one of the most widely used solutions for analyzing and visualizing data. It now includes tools that enable the analysis of more data, with improved visualizations and more sophisticated business logics. In this data science course, you will get an introduction to the latest versions of these new tools in Excel 2016 from an expert on the Excel Product Team at Microsoft.
Learn how to import data from different sources, create mashups between data sources, and prepare data for analysis. After preparing the data, find out how business calculations can be expressed using the DAX calculation engine. See how the data can be visualized and shared to the Power BI cloud service, after which it can be used in dashboards, queried using plain English sentences, and even consumed on mobile devices.
Do you feel that the contents of this course is a bit too advanced for you and you need to fill some gaps in your Excel knowledge? Do you need a better understanding of how pivot tables, pivot charts and slicers work together, and help in creating dashboards? If so, check out DAT205x: Introduction to Data Analysis using Excel.
This course is also a part of the Microsoft Excel for the Data Analyst XSeries.
This course is part of the Microsoft Professional Program Certificate in Data Science.
Power BI is quickly gaining popularity among professionals in data science as a cloud-based service that helps them easily visualize and share insights from their organizations’ data.
In this data science course, you will learn from the Power BI product team at Microsoft with a series of short, lecture-based videos, complete with demos, quizzes, and hands-on labs. You’ll walk through Power BI, end to end, starting from how to connect to and import your data, author reports using Power BI Desktop, and publish those reports to the Power BI service. Plus, learn to create dashboards and share with business users—on the web and on mobile devices.
In this computer science course, you will learn to build reports with SQL Server Reporting Services, which includes new visualization features and mobile capabilities. You will learn to create reporting solutions, mobile reports and dashboards.
Whether you're new to reporting services, or experienced with earlier versions, we'll show you how to build tables, matrices, advanced visualizations, and dashboards with key performance indicators. You'll design and deploy compelling, interactive reports for smartphones, tablets, and browsers.
By the end of the course, you'll have developed a complete reporting solution and be ready to analyze and visualize your own business data with SQL Server Reporting Services.
Note: To complete the hands-on elements in this course, you will require an Azure subscription. You can sign up for a free Azure trial subscription (a valid credit card is required for verification, but you will not be charged for Azure services). Note that the free trial is not available in all regions. It is possible to complete the course and earn a certificate without completing the hands-on practices.
The open-source programming language R has for a long time been popular (particularly in academia) for data processing and statistical analysis. Among R's strengths are that it's a succinct programming language and has an extensive repository of third party libraries for performing all kinds of analyses. Together, these two features make it possible for a data scientist to very quickly go from raw data to summaries, charts, and even full-blown reports. However, one deficiency with R is that traditionally it uses a lot of memory, both because it needs to load a copy of the data in its entirety as a data.frame object, and also because processing the data often involves making further copies (sometimes referred to as copy-on-modify). This is one of the reasons R has been more reluctantly received by industry compared to academia.
The main component of Microsoft R Server (MRS) is the RevoScaleR package, which is an R library that offers a set of functionalities for processing large datasets without having to load them all at once in the memory. RevoScaleR offers a rich set of distributed statistical and machine learning algorithms, which get added to over time. Finally, RevoScaleR also offers a mechanism by which we can take code that we developed on our laptop and deploy it on a remote server such as SQL Server or Spark (where the infrastructure is very different under the hood), with minimal effort.
In this course, we will show you how to use MRS to run an analysis on a large dataset and provide some examples of how to deploy it on a Spark cluster or a SQL Server database. Upon completion, you will know how to use R for big-data problems.
Since RevoScaleR is an R package, we assume that the course participants are familiar with R. A solid understanding of R data structures (vectors, matrices, lists, data frames, environments) is required. For example, students should be able to confidently tell the difference between a list and a data frame, or what each object is generally a good representation for and how to subset it. Students should be familiar with basic programming concepts such as control flows, loops, functions and scope. Students should have a good understanding of how to write and debug R functions. Finally, students are expected to have a good understanding of data manipulation and data processing in R (e.g. functions such as merge, transform, subset, cbind, rbind, lapply, apply). Familiarity with 3rd party packages such as dplyr is also helpful.
Android es la plataforma libre desarrollada por Google, ampliamente utilizada en multitud de dispositivos como móviles, tabletas, TV, wearables e Internet de las cosas. Su expansión ha sido espectacular, siendo el S.O. más utilizado en la actualidad. Tras realizar este curso conocerás los fundamentos del desarrollo de aplicaciones en Android y podrás realizar sencillas aplicaciones, que incluyan los aspectos más importantes y novedosos de esta plataforma.
A lo largo del curso se desarrolla una aplicación de ejemplo, "Mis Lugares Favoritos", que nos permitirá almacenar fotografía, posición geográfica, valoración y otros datos de los lugares que más nos gustan. El curso se introducen los siguientes aspectos: repaso de Java, visión general de Android, entorno de desarrollo (Android Studio), Interfaz de usuario (vistas, Layouts, recursos, barra de acciones, preferencias, RecyclerView, Fragments...), actividades, intenciones, seguridad, posicionamiento, mapas y bases de datos.
Want to start implementing some of the more advanced features of Angular, but looking for help to get you started? In this advanced angularJS course, you’ll learn how to implement a web framework as you work your way through a series of tutorial-style labs that make learning easy.
Want to get started building Web pages with AngularJS, but feel a little overwhelmed? You’ve come to the right place. This course will teach you the programming language using a series of easy to understand AngularJS tutorials. The hands-on approach will teach you how the AngularJS framework works, and enable you to use HTML as your template language. You’ll also learn the basics of AngularJS’s module definition and how to perform basic dependency injection between components.
How do you create realistic animations? How do you predict the motion of materials? It’s key to the success of animated films to ensure (was insure) audiences believe in characters.
This course will show you how to create lifelike animations focusing on the technical aspects of CGI animation and also give you a glimpse into how studios approach the art of physically-based animation.
You will learn the fundamental concepts of physical simulation, including:
- integration of ordinary differential equations such as those needed to predict the motion of a dress in the wind.
- formulation of models for physical phenomena such as crumpling sheet metal and flowing water.
- treatment of discontinuities such as fractures and collisions.
- simulation of liquids and solids in both Lagrangian and Eulerian coordinates.
- artistic control of physically-based animations.
These concepts will be put into practice in the programming assignments spanning:
- Discretizing and integrating Newton’s equations of motion
- Constrained Lagrangian Mechanics
- Collisions, contact, and friction: detection and response
- Continuum mechanics
- Finite elements
- Rigid body simulation
- Thin shell and cloth simulation
- Elastic rod and hair simulation
- Fluid simulation
Explore the continent of Antarctica and more than 500 million years of geological history and 250 years of geographical discovery and scientific endeavour.
In this course, you will learn through lectures filmed on location on Ross Island and in the McMurdo Dry Valleys of Antarctica.
Cliff, an Antarctic veteran, with 12 seasons on the ice, will introduce you to some of our planet’s most remarkable landscapes—the Dry Valleys, the Transantarctic Mountains and the world’s southernmost volcanic island. At a remote field camp, he interviews fellow geologists studying fossil-rich sediments—from a time when Antarctica was 20°C warmer than today—to see what Antarctica’s past climate can reveal about what the future might hold.
Rebecca, a science historian and writer who has written extensively about Antarctica, visits Captain Robert Scott’s huts on Ross Island and interviews conservators from the Antarctic Heritage Trust and scientists and logistics staff working at Scott Base and McMurdo Station. You’ll learn about the explorers and scientists from around the world who have been drawn to work and sometimes risk their lives here—from James Cook’s first venture below the Antarctic Circle, to the British scientists who discovered the ozone hole, to the first women to work on the ice.
This course is part of the Microsoft Professional Program Certificate in Data Science.
In this data science course, you will explore the theory and practice of select advanced methods commonly used in data science.
In the first two modules, you will learn about common applications of specialized data types. Then, in the remaining two modules, you will focus on unstructured data. You will work with tools such as R, Python, and Azure Machine Learning to solve advanced data science problems.
Acerca de este curso
Dentro de la práctica educativa y clínica, las neurociencias y la psicología cognitiva son ejes fundamentales en la comprensión del comportamiento humano. Estas disciplinas aportan no solo modelos explicativos desde las ciencias básicas sino también desde su perspectiva aplicada. Teniendo en cuenta lo anterior, se pretende generar un espacio para comprender cómo el ser humano desarrolla y adquiere las habilidades de lectura y escritura así como las dificultades más comunes en su adquisición, desde una perspectiva neuropsicológica y cognitiva. Esto, con el fin de ofrecer pautas para identificar cuándo un niño presenta alguna o varias de estas dificultades y qué hacer para ayudarlo en su correcta apropiación.
Azure is Microsoft’s cloud computing platform, a growing collection of integrated services—analytics, computing, database, mobile, networking, storage, and web—for moving faster, achieving more, and saving money.
In this computer science course, you’ll apply what you already know about implementing solutions on Microsoft Azure to learn solution design skills. At the completion of this course, you will be able to identify tradeoffs and make decisions for designing public and hybrid cloud solutions.
This course will help you prepare for the Microsoft Certification Exam 70-534: Architecting Microsoft Azure Solutions.
Note: To complete the final assignment in this course, you will need an Azure subscription. You can use your existing Azure account, or sign up for a free Azure trial subscription (a valid credit card is required for verification, but you will not be charged for Azure services). Note that the free trial is not available in all regions. It is possible to complete the course and earn a certificate without completing the final assignment.