Parallel, Concurrent, and Distributed Programming in Java Specialization

Started Oct 23

Parallel, Concurrent, and Distributed Programming in Java Specialization

Boost Your Programming Expertise with Parallelism

Learn the fundamentals of parallel, concurrent, and distributed programming.

About This Specialization

This specialization is intended for anyone with basic knowledge of sequential programming in Java, who is motivated to learn how to write parallel, concurrent and distributed programs. Through a collection of three courses (which may be taken in any order or separately), you will learn foundational topics in Parallelism, Concurrency, and Distribution. These courses will prepare you for multithreaded and distributed programming for a wide range of computer platforms, ranging from mobile devices to cloud computing servers. To see an overview video for this Specialization, click here! Acknowledgments The instructor, Prof. Vivek Sarkar, would like to thank Dr. Max Grossman for his contributions to the mini-projects and other course material, Dr. Zoran Budimlic for his contributions to the quizzes, Dr. Max Grossman and Dr. Shams Imam for their contributions to the pedagogic PCDP library used in some of the mini-projects, and all members of the Rice Online team who contributed to the development of the course content (including Martin Calvi, Annette Howe, Seth Tyger, and Chong Zhou).

Created by:

courses
3 courses

Follow the suggested order or choose your own.

projects
Projects

Designed to help you practice and apply the skills you learn.

certificates
Certificates

Highlight your new skills on your resume or LinkedIn.

Projects Overview

Courses
Intermediate Specialization.
Some related experience required.
  1. COURSE 1

    Parallel Programming in Java

    Current session: Oct 23
    Commitment
    Four weeks of study, 4-8 hours/week depending on past experience with sequential programming in Java
    Subtitles
    English

    About the Course

    This course teaches learners (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
  2. COURSE 2

    Concurrent Programming in Java

    Current session: Oct 23
    Commitment
    Four weeks of study, 4-8 hours/week depending on past experience with sequential programming in Java
    Subtitles
    English

    About the Course

    This course teaches learners (industry professionals and students) the fundamental concepts of concurrent programming in the context of Java 8. Concurrent programming enables developers to efficiently and correctly mediate the use of shared reso
  3. COURSE 3

    Distributed Programming in Java

    Current session: Oct 23
    Commitment
    Four weeks of study, 4-8 hours/week depending on past experience with sequential programming in Java
    Subtitles
    English

    About the Course

    This course teaches learners (industry professionals and students) the fundamental concepts of Distributed Programming in the context of Java 8. Distributed programming enables developers to use multiple nodes in a data center to increase throughpu

Creators

  • Rice University

    About Rice University

    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.

  • Vivek Sarkar

    Vivek Sarkar

    Professor

FAQs

More questions? Visit the Learner Help Center.