关于此 专项课程
7,130 次近期查看

100% 在线课程

立即开始,按照自己的计划学习。

灵活的计划

设置并保持灵活的截止日期。

中级

完成时间大约为2 个月

建议 11 小时/周

英语(English)

字幕:英语(English)

您将获得的技能

Distributed ComputingOptimistic Concurrency ControlParallel ComputingJava Concurrency

100% 在线课程

立即开始,按照自己的计划学习。

灵活的计划

设置并保持灵活的截止日期。

中级

完成时间大约为2 个月

建议 11 小时/周

英语(English)

字幕:英语(English)

学习Specialization的学生是

  • Software Engineers
  • Machine Learning Engineers
  • Data Engineers
  • Data Scientists
  • Scientists

专项课程的运作方式

加入课程

Coursera 专项课程是帮助您掌握一门技能的一系列课程。若要开始学习,请直接注册专项课程,或预览专项课程并选择您要首先开始学习的课程。当您订阅专项课程的部分课程时,您将自动订阅整个专项课程。您可以只完成一门课程,您可以随时暂停学习或结束订阅。访问您的学生面板,跟踪您的课程注册情况和进度。

实践项目

每个专项课程都包括实践项目。您需要成功完成这个(些)项目才能完成专项课程并获得证书。如果专项课程中包括单独的实践项目课程,则需要在开始之前完成其他所有课程。

获得证书

在结束每门课程并完成实践项目之后,您会获得一个证书,您可以向您的潜在雇主展示该证书并在您的职业社交网络中分享。

how it works

此专项课程包含 3 门课程

课程1

Parallel Programming in Java

4.6
648 个评分
132 个审阅
课程2

Concurrent Programming in Java

4.5
390 个评分
62 个审阅
课程3

Distributed Programming in Java

4.5
248 个评分
37 个审阅

讲师

Avatar

Vivek Sarkar

Professor
Department of Computer Science

关于 莱斯大学

Rice University is consistently ranked among the top 20 universities in the U.S. and the top 100 in the world. Rice has highly respected schools of Architecture, Business, Continuing Studies, Engineering, Humanities, Music, Natural Sciences and Social Sciences and is home to the Baker Institute for Public Policy....

常见问题

  • 可以!点击您感兴趣的课程卡开始注册即可。注册并完成课程后,您可以获得可共享的证书,或者您也可以旁听该课程免费查看课程资料。如果您订阅的课程是某专项课程的一部分,系统会自动为您订阅完整的专项课程。访问您的学生面板,跟踪您的进度。

  • 此课程完全在线学习,无需到教室现场上课。您可以通过网络或移动设备随时随地访问课程视频、阅读材料和作业。

  • There are 3 courses in this Specialization. Based on a weekly commitment of 4-8 hours, you should be able to complete the Specialization in 12 weeks.

  • The Specialization is targeted at an audience that is already familiar with sequential programming in Java, including a basic knowledge of Java 8 lambdas.

  • No, you can take the courses in this Specialization in any order.

  • You will not earn university credit for completing the Specialization.

  • This course teaches industry professionals and students the fundamental concepts of parallel programming in the context of Java 8. Parallel programming enables developers to use multicore computers to make their applications run faster by using multiple processors at the same time. By the end of this course, you will learn how to use popular parallel Java frameworks such as ForkJoin and Stream to write parallel programs for a wide range of multicore platforms whether for servers, desktops, or mobile devices, while also learning about their theoretical foundations (e.g., deadlock freedom, data race freedom, determinism).

还有其他问题吗?请访问 学生帮助中心