Computer Science

 

 


 

Master Computer Science on Coursera



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Jul 31st 2017

本课程面向非计算机软件专业本科生及相关IT行业从业人士,介绍计算机科学和信息技术理论基础的概念和思想方法。

Average: 7.3 (4 votes)
Jul 31st 2017

本课程重点讲述计算机的内部结构和工作原理,着眼于软件和硬件的衔接互动,注重基本概念和真实系统的对应。

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Jul 31st 2017

In this course, we will study security and trust from the hardware perspective. Upon completing the course, students will understand the vulnerabilities in current digital system design flow and the physical attacks to these systems. They will learn that security starts from hardware design and be familiar with the tools and skills to build secure and trusted hardware.

Average: 4 (8 votes)

Jul 31st 2017

In this project-centered course you will build a modern software hierarchy, designed to enable the translation and execution of object-based, high-level languages on a bare-bone computer hardware platform. In particular, you will implement a virtual machine and a compiler for a simple, Java-like programming language, and you will develop a basic operating system that closes gaps between the high-level language and the underlying hardware platform.

Average: 9 (2 votes)
Jul 27th 2017

With a full tuition under $20K, the University of Illinois Master of Computer Science - Data Science (MCS-DS) is the most affordable gateway to one of the most lucrative and fastest growing careers of the new millennium. The MCS-DS builds expertise in four core areas of computer science: data visualization, machine learning, data mining and cloud computing, in addition to building valuable skill sets in statistics and information science with courses taught in collaboration with the University’s Statistics Department and ISchool (ranked #1 among Library and Information Studies Schools.)

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Self Paced

Learn the fundamental elements of Java programming and data abstraction. Do you want to become a better problem solver? This Java course will provide you with a strong understanding of basic Java programming elements and data abstraction using problem representation and the object-oriented framework.

Average: 1.5 (2 votes)

Jul 24th 2017

This two-part course builds upon the programming skills that you learned in our Introduction to Interactive Programming in Python course. We will augment those skills with both important programming practices and critical mathematical problem solving skills. These skills underlie larger scale computational problem solving and programming.

Average: 6.6 (17 votes)
Jul 24th 2017

This two-part course introduces the basic mathematical and programming principles that underlie much of Computer Science. Understanding these principles is crucial to the process of creating efficient and well-structured solutions for computational problems. To get hands-on experience working with these concepts, we will use the Python programming language.

Average: 6 (12 votes)
Jul 24th 2017

本课程的目的有二:其一,帮助同学们了解计算机的基本运行原理,了解程序运行的基本原理,了解计算机的发展状态及趋势。其二,引导同学们逐步进入"计算机程序设计语言"的学习。我们希望本课程为同学们解答如下一些问题:计算机为什么能够进行计算?计算机程序是怎样运行的?计算机未来可能的发展趋势有哪些?程序是如何编写出来的?如何学习程序设计语言?程序设计语言的基本成分有哪些? 完成本课程,表明同学们已经了解了计算机运行的基本原理,了解了计算机程序的基本特性。

Average: 1 (1 vote)
Jul 24th 2017

这门课程将帮助学生学习如何运用高级的数据结构和相关算法解决复杂的应用问题。

Average: 4.7 (3 votes)
Jul 24th 2017

这门课程将帮助学生学习如何运用基础的数据结构和相关算法解决实际应用问题。

Average: 4.5 (2 votes)

Jul 24th 2017

Bem vindo ao curso de Introdução à Ciência da Computação destinado aos alunos regulares da Universidade de São Paulo e a todos os demais interessados em aprender não só a programar em Python mas também os conceitos básicos da Ciência Computação!

Average: 2 (1 vote)