Courses tagged with "Website Development" (78)

This is a graduate course on the design and analysis of algorithms, covering several advanced topics not studied in typical introductory courses on algorithms. It is especially designed for doctoral students interested in theoretical computer science.

In this course----the third in a trans-institution sequence of MOOCs on Mobile Cloud Computing with Android--we will learn how to connect Android mobile devices to cloud computing and data storage resources, essentially turning a device into an extension of powerful cloud-based services on popular cloud computing platforms, such as Google App Engine and Amazon EC2.

Learn the basics of creating data products using Shiny, R packages, and interactive graphics. This is the ninth course in the Johns Hopkins Data Science Specialization.

This course introduces the basic mathematical and programming principles that underlie much of Computer Science. Students will refine their programming skills as well as learn the basics of creating efficient solutions to common computational problems.

Experienced Computer Scientists analyze and solve computational problems at a level of abstraction that is beyond that of any particular programming language. This class is designed to train students in the mathematical concepts and process of "Algorithmic Thinking", allowing them to build simpler, more efficient solutions to computational problems.

通过大量、丰富、完整、不同领域、应用不同技术的案例，深入、完整地讲解当今主流的面向对象软件开发方法的分析、设计及实现方法。

《程序设计实习》课程是北京大学的本科生主干基础课程。课程的主要目标有二： 一、掌握C++语言的语法和标准模板库，能用C++语言以面向对象的方法来编写规模较大的程序。 二、掌握枚举、递归、搜索、动态规划等基本的算法思想。通过大量的高强度的编程训练，提高动手能力，做到能较为熟练、完整、准确地实现自己设计的程序，为进一步学习其他计算机专业课程，或在其他专业领域运用计算机编程解决问题奠定良好的基础。

Learn how to build and deploy modern web application architectures – applications that run over the Internet, in the "cloud," using a browser as the user interface.

Helping you build human-centered design skills, so that you have the principles and methods to create excellent interfaces with any technology.

Learn core distributed computing concepts that underlie today’s and tomorrow’s cloud computing systems.

This is the second course in a two-part series on bioinformatics algorithms, covering the following topics: evolutionary tree reconstruction, applications of combinatorial pattern matching for read mapping, gene regulatory analysis, protein classification, computational proteomics, and computational aspects of human genetics.

Are you interested in learning how to program (in Python) within a scientific setting? This course will cover algorithms for solving various biological problems along with a handful of programming challenges helping you implement these algorithms in Python. It offers a gentler-paced alternative to the first course in our Bioinformatics Specialization (Finding Hidden Messages in DNA).

Learn how to take scattered data and organize it into groups for use in many applications, such as market analysis and biomedical data analysis, or as a pre-processing step for many data mining tasks.

Learn how to transform information from a format efficient for computation into a format efficient for human perception, cognition, and communication. Explore elements of computer graphics, human-computer interaction, perceptual psychology, and design in addition to data processing and computation.

Learn how to use the cloud and write programs for data analytics.

Have you ever wished you knew how to program, but had no idea where to start from? This course will teach you how to program in Scratch, an easy to use visual programming language. More importantly, it will introduce you to the fundamental principles of computing and it will help you think like a software engineer.

¿Alguna vez pensaste en crear tus propios juegos de computadora, pero no tenías idea cómo hacerlo o por dónde comenzar? Este curso te enseñará a programar utilizando Scratch, un lenguaje de programación visual muy fácil de usar, y más importante aún, aprenderás los principios fundamentales de la computación para que comiences a pensar como ingeniero/a de software.

Learn core distributed computing concepts that underlie today’s and tomorrow’s cloud computing systems.