This two-part course is designed to help students with very little or no computing background learn the basics of building simple interactive applications. Our language of choice, Python, is an easy-to learn, high-level computer language that is used in many of the computational courses offered on Coursera. To make learning Python easy, we have developed a new browser-based programming environment that makes developing interactive applications in Python simple. These applications will involve windows whose contents are graphical and respond to buttons, the keyboard and the mouse.
In part 1 of this course, we will introduce the basic elements of programming (such as expressions, conditionals, and functions) and then use these elements to create simple interactive applications such as a digital stopwatch. Part 1 of this class will culminate in building a version of the classic arcade game "Pong".
Recommended Background - A knowledge of high school mathematics is required. While the class is designed for students with no prior programming experience, some beginning programmers have viewed the class as being fast-paced.
This Specialization covers much of the material that first-year Computer Science students take at Rice University. Students learn sophisticated programming skills in Python from the ground up and apply these skills in building more than 20 fun projects. The Specialization concludes with a Capstone exam that allows the students to demonstrate the range of knowledge that they have acquired in the Specialization.
Aprende a programar en Android a través de la implementación paso a paso de un juego interactivo. Según datos publicados por Gartner a nivel mundial, casi el 60% de los teléfonos vendidos en 2013 fueron teléfonos inteligentes. Alrededor del 80% de estos teléfonos llevaban en su interior el sistema operativo Android. No cabe duda, por lo tanto, de que formarse en Android es una de las mejores inversiones que puede hacer un programador en la actualidad.
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.
Take your Angular programming skills to the next level as you learn about the full range of advanced features available for programming in Angular. 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.
Gain a solid foundation in developing and testing device-friendly websites using the power of CSS. 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.
Explore theory and practice, and work with tools like R, Python, and Azure Machine Learning to solve advanced data science problems. In this data science course, you will explore the theory and practice of select advanced methods commonly used in data science.
Get hands-on experience building and deriving insights from machine learning models using R, Python, and Azure Machine Learning. Machine learning uses computers to run predictive models that learn from existing data in order to forecast future behaviors, outcomes, and trends.
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).