About this Course
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Intermediate Level

Approx. 13 hours to complete

Suggested: Four weeks of study, 4-8 hours/week depending on past experience with sequential programming in Java...

English

Subtitles: English

Skills you will gain

Distributed ComputingActor ModelParallel ComputingReactive Programming

100% online

Start instantly and learn at your own schedule.

Flexible deadlines

Reset deadlines in accordance to your schedule.

Intermediate Level

Approx. 13 hours to complete

Suggested: Four weeks of study, 4-8 hours/week depending on past experience with sequential programming in Java...

English

Subtitles: English

Syllabus - What you will learn from this course

Week
1
1 hour to complete

Welcome to the Course!

1 video (Total 1 min), 5 readings, 1 quiz
1 video
5 readings
General Course Info5m
Course Icon Legend2m
Discussion Forum Guidelines2m
Pre-Course Survey10m
Mini Project 0: Setup20m
4 hours to complete

DISTRIBUTED MAP REDUCE

6 videos (Total 49 min), 6 readings, 2 quizzes
6 videos
1.2 Hadoop Framework8m
1.3 Spark Framework11m
1.4 TF-IDF Example7m
1.5 Page Rank Example8m
Demonstration: Page Rank Algorithm in Spark4m
6 readings
1.1 Lecture Summary5m
1.2 Lecture Summary5m
1.3 Lecture Summary5m
1.4 Lecture Summary5m
1.5 Lecture Summary5m
Mini Project 1: Page Rank with Spark15m
1 practice exercise
Module 1 Quiz30m
Week
2
4 hours to complete

CLIENT-SERVER PROGRAMMING

6 videos (Total 43 min), 6 readings, 2 quizzes
6 videos
2.2 Serialization/Deserialization9m
2.3 Remote Method Invocation6m
2.4 Multicast Sockets7m
2.5 Publish-Subscribe Model6m
Demonstration: File Server using Sockets4m
6 readings
2.1 Lecture Summary5m
2.2 Lecture Summary5m
2.3 Lecture Summary5m
2.4 Lecture Summary5m
2.5 Lecture Summary5m
Mini Project 2: File Server15m
1 practice exercise
Module 2 Quiz30m
15 minutes to complete

Talking to Two Sigma: Using it in the Field

2 videos (Total 13 min), 1 reading
2 videos
Industry Professional on Distribution - Dr. Eric Allen, Senior Vice President6m
1 reading
About these Talks2m
Week
3
4 hours to complete

MESSAGE PASSING

6 videos (Total 49 min), 6 readings, 2 quizzes
6 videos
3.2 Point-to-Point Communication9m
3.3 Message Ordering and Deadlock8m
3.4 Non-Blocking Communications7m
3.5 Collective Communication7m
Demonstration: Distributed Matrix Multiply using Message Passing9m
6 readings
3.1 Lecture Summary7m
3.2 Lecture Summary5m
3.3 Lecture Summary5m
3.4 Lecture Summary5m
3.5 Lecture Summary5m
Mini Project 3: Matrix Multiply in MPI15m
1 practice exercise
Module 3 Quiz30m
Week
4
4 hours to complete

COMBINING DISTRIBUTION AND MULTITHREADING

6 videos (Total 44 min), 7 readings, 2 quizzes
6 videos
4.2 Multithreaded Servers6m
4.3 MPI and Threading7m
4.4 Distributed Actors8m
4.5 Distributed Reactive Programming7m
Demonstration: Parallel File Server using Multithreading and Sockets3m
7 readings
4.1 Lecture Summary5m
4.2 Lecture Summary5m
4.3 Lecture Summary10m
4.4 Lecture Summary5m
4.5 Lecture Summary5m
Mini Project 4: Multi-Threaded File Server15m
Exit Survey10m
1 practice exercise
Module 4 Quiz30m
20 minutes to complete

Continue Your Journey with the Specialization "Parallel, Concurrent, and Distributed Programming in Java"

2 videos (Total 10 min), 1 reading
2 videos
Industry Professional on Concurrency - Dr. Shams Imam, Software Engineer, Two Sigma3m
1 reading
Our Other Course Offerings10m
4.5
35 ReviewsChevron Right

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29%

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Top reviews from Distributed Programming in Java

By DHSep 17th 2017

Great course. The first programming assignment was challenging and well worth the time invested, I would recommend it for anyone that wants to learn parallel programming in Java.

By FFJan 24th 2018

Excellent course! Vivek is an excellent instructor as well. I appreciate having taken the opportunity to learn from him.

Instructor

Avatar

Vivek Sarkar

Professor
Department of Computer Science

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....

About the Parallel, Concurrent, and Distributed Programming in Java Specialization

Parallel, concurrent, and distributed programming underlies software in multiple domains, ranging from biomedical research to financial services. This specialization is intended for anyone with a 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, from mobile devices to cloud computing servers. To see an overview video for this Specialization, click here! For an interview with two early-career software engineers on the relevance of parallel computing to their jobs, 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)....
Parallel, Concurrent, and Distributed Programming in Java

Frequently Asked Questions

  • Once you enroll for a Certificate, you’ll have access to all videos, quizzes, and programming assignments (if applicable). Peer review assignments can only be submitted and reviewed once your session has begun. If you choose to explore the course without purchasing, you may not be able to access certain assignments.

  • When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.

  • No. The lecture videos, demonstrations and quizzes will be sufficient to enable you to complete this course. Students who enroll in the course and are interesting in receiving a certificate will also have access to a supplemental coursebook with additional technical details.

  • Multicore Programming in Java: Parallelism and Multicore Programming in Java: Concurrency cover complementary aspects of multicore programming, and can be taken in any order. The Parallelism course covers the fundamentals of using parallelism to make applications run faster by using multiple processors at the same time. The Concurrency course covers the fundamentals of how parallel tasks and threads correctly mediate concurrent use of shared resources such as shared objects, network resources, and file systems.

More questions? Visit the Learner Help Center.