EdX is a not-for-profit enterprise of its founding partners Harvard University and the Massachusetts Institute of Technology that features learning designed specifically for interactive study via the web. Based on a long history of collaboration and their shared educational missions, the founders are creating a new online-learning experience with online courses that reflect their disciplinary breadth. Along with offering online courses, the institutions will use edX to research how students learn and how technology can transform learning
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2017-06-15 04:54:16
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New course added: Energías convencionales, limpias y su tecnología http:///cours...ecnologia.htm
2017-06-12 17:32:30
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Grandes sueños, grandes logros: Conoce a Juan David

2017-06-23 19:17:06

Juan David Cruz Serrano es un emprendedor que con la ayuda de los cursos de edX está logrando sus sueños, hoy en día ti…


Using Python to Develop Screen Reader Features: Meet, Bhargav

2017-06-23 15:25:37

Bhargav, a test engineer from India, shares how learning on edX helped him develop add-ons for screen readers, participate in multiple Hacka…


¡En edX hablamos tu idioma!

2017-06-21 16:58:41

En edX estamos sumamente emocionados, nuestro sitio web ya está disponible en español. Este logro fue motivado por los millone…


Congratulations to the learners who completed the 1st ever MicroMasters program!

2017-06-20 15:06:20

Today marks an exciting milestone in online learning, as we celebrate the MITx learners who have completed the first ever MicroMasters progr…


Jorge: Crecimiento profesional gracias a los cursos de edX.

2017-06-19 19:56:28

Jorge Escobar, un profesional enfocado en la gestión de la cadena de suministro, nos cuenta como el MicroMasters en Supply Chain Mana…


Top courses Most popular

Artificial Intelligence (AI)
Provider: edX

527 votes 1 0

What do self-driving cars, face recognition, web search, industrial robots, missile guidance, and tumor detection have in common?

They are all complex real world problems being solved with applications of intelligence (AI).

This course will provide a broad understanding of the basic techniques for building intelligent computer systems and an understanding of how AI is applied to problems.

You will learn about the history of AI, intelligent agents, state-space problem representations, uninformed and heuristic search, game playing, logical agents, and constraint satisfaction problems.

Hands on experience will be gained by building a basic search agent. Adversarial search will be explored through the creation of a game and an introduction to machine learning includes work on linear regression.

Starts : 2017-07-29 /courses/23106/artificial-intelligence-ai.htm?assign=courselink

Agile Development Using Ruby on Rails - Advanced
Provider: edX

367 votes 0 0

Part 2 of the UC Berkeley Agile Development Using Ruby on Rails XSeries Program will teach you to use JavaScript to enhance applications and create more sophisticated apps by adding relationships between models within the Ruby on Rails framework. You will also learn about what happens after the apps are deployed to real users, including how to monitor performance, identify and fix common performance problems, and avoid compromising customer data. Finally, learners will see how to apply Agile techniques to enhance and refactor legacy code and practice app deployment to real users to monitor performance, identify and fix common performance problems, and avoid compromising customer data. 

Other topics covered in this software engineering course include:

  • How to form, organize and manage small programming teams
  • Introduction to design patterns: what they are and how to recognize opportunities to apply them
  • Using Rails for more advanced features like third-party authentication and elegantly expressing design patterns that arise frequently in SaaS

There will be four homework assignments: two programming assignments, an open source assignment and one assignment about operations/deployment. There will also be several short quizzes. The videos and homework assignments used in this offering of the course were revised in October 2016.

Starts : 2017-07-11 /courses/19217/agile-development-using-ruby-on-rails-advanced.htm?assign=courselink

CS For All: Introduction to Computer Science and Python Programming
Provider: edX

274 votes 0 0

Looking to get started with computer science while learning to program in Python?

This computer science  course provides an introduction to computer science that’s both challenging and fun. It takes a broad look at the field of computer science through a variety of demonstrations and projects. We’ll cover both low- and high-level concepts, from how the circuits inside a computer represent data to how to design algorithms, as well as how all of this information affects the technology we use today. Additionally, we’ll teach the basics of Python programming, giving us a a way to put our new CS knowledge into practice.

No need to know any programming before starting the course; we’ll teach everything you need to know along the way. All you need to start is a good grasp of algebra, and you can fall in love with both the concepts and the practice of computer science.

Starts : 2016-06-07

Computer Graphics
Provider: edX

180 votes 0 0

Today, computer graphics is a central part of our lives, in movies, games, computer-aided design, virtual reality, virtual simulators, visualization and even imaging products and cameras. This course, part of the Virtual Reality (VR) Professional Certificate program, teaches the basics of computer graphics that apply to all of these domains.

Students will learn to create computer-generated images of 3D scenes, including flybys of objects, make a real-time scene viewer, and create very realistic images with raytracing. We will start with a simple example of viewing a teapot from anywhere in space, understanding the basic mathematics of virtual camera placement. Next, you will learn how to use real-time graphics programming languages like OpenGL and GLSL to create your own scene viewer, enabling you to fly around and manipulate 3D scenes. Finally, we will teach you to create highly realistic images with reflections and shadows using raytracing.

This course runs for 6 weeks and consists of four segments. Each segment includes an individual programming assignment:

  1. Overview and Basic Math (Homework 0: 10% of grade)
  2. Transformations (Homework 1: 20% of grade)
  3. OpenGL and Lighting (Homework 2: 35% of grade)
  4. Raytracing (Homework 3: 35% of grade)

This term, students who earn a total score of 50% or greater will have passed the course and may obtain a certificate from UC San DiegoX.

Starts : 2017-06-01

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