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學生對 莱斯大学 提供的 Distributed Programming in Java 的評價和反饋

4.5
257 個評分
39 個審閱

課程概述

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 throughput and/or reduce latency of selected applications. By the end of this course, you will learn how to use popular distributed programming frameworks for Java programs, including Hadoop, Spark, Sockets, Remote Method Invocation (RMI), Multicast Sockets, Kafka, Message Passing Interface (MPI), as well as different approaches to combine distribution with multithreading. Why take this course? • All data center servers are organized as collections of distributed servers, and it is important for you to also learn how to use multiple servers for increased bandwidth and reduced latency. • In addition to learning specific frameworks for distributed programming, this course will teach you how to integrate multicore and distributed parallelism in a unified approach. • Each of the four modules in the course includes an assigned mini-project that will provide you with the necessary hands-on experience to use the concepts learned in the course on your own, after the course ends. • During the course, you will have online access to the instructor and the mentors to get individualized answers to your questions posted on forums. The desired learning outcomes of this course are as follows: • Distributed map-reduce programming in Java using the Hadoop and Spark frameworks • Client-server programming using Java's Socket and Remote Method Invocation (RMI) interfaces • Message-passing programming in Java using the Message Passing Interface (MPI) • Approaches to combine distribution with multithreading, including processes and threads, distributed actors, and reactive programming Mastery of these concepts will enable you to immediately apply them in the context of distributed Java programs, and will also provide the foundation for mastering other distributed programming frameworks that you may encounter in the future (e.g., in Scala or C++)....

熱門審閱

DH

Sep 17, 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.

FF

Jan 24, 2018

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

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1 - Distributed Programming in Java 的 25 個評論(共 38 個)

創建者 Eric S

Apr 07, 2019

Really great videos and instruction. The class covers a broad swath of topics, which is great but fails to get really in depth in any one topic, as a learner you will need to dive deeper into topics that grab your interest. The projects are a little easy but are well organized and self contained. Considering the difficulty in creating projects for distributed computing environments I think the instructors did a good job.

創建者 Ankit T

Mar 30, 2018

Programming assignment can be made a bit tough.

創建者 Sudharaka P

Jan 22, 2019

Nice course. Gives a good overview of Distributed Programming!!!

創建者 updatinglb

Feb 28, 2019

concise and clear

創建者 Ganapathi N K

Feb 26, 2019

Good experience

創建者 Partha B

Mar 11, 2019

thanks

創建者 Light0617

Nov 18, 2018

very great!

創建者 frierys

Jan 24, 2018

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

創建者 DaeMyung K

Mar 12, 2018

Thanks

創建者 Kerran F

May 21, 2018

Great surface level coverage of basic theories and Java frameworks for Distributed Programming. Projects are very simple and quizzes can feel a bit too specific to the lectures, but those two things just make it easier than it is in the real world. I took a similar class back in college but this was a nice refresher on thinking about first principles and modern new libraries.

創建者 Jean-Baptiste B

Sep 07, 2017

All the good stuff application to clusters and cloud computing:

MapReduce, Hadoop, Spark, Sockets, Remote method invocation, Serializing/Deserializing, Point-to-point communication, Socket multicast/broadcast, SPMD model with MPI, Thread vs Process, Distributed Actor, Distributed reactive programming.

Lessons are short and easy to understand and the mini projects are complex enough to get a better grasp of the theory.

創建者 Qiuxiang D

Sep 14, 2017

This is a great course for me.

創建者 Feiyu L

Apr 03, 2018

Very clear overview. Helpful for my understanding of distributed system.

創建者 Vaibhav j

Sep 27, 2017

Excellent

創建者 Donghao F

Sep 13, 2017

thanks

創建者 Hugo J

May 21, 2019

Great professor !

創建者 Rajyavardhan S

Jun 29, 2019

Amazing Course, was able to learn new things and had the best experience

創建者 Elias R

Jul 31, 2019

I really liked the course. Great videos and lecture summaries! Maybe the assignments could be more sophisticated.

創建者 John O O

Aug 14, 2019

Awesome material! :-D

創建者 marcos h b p

Oct 05, 2019

It was awsome, I could learn a lot, thks Professor

創建者 Amr H G

Nov 25, 2019

Amazing course to learn about distributed Progrmaming

創建者 Benjamin G J

Aug 13, 2018

Solidly worth the money!

The lectures and references are perfect, and the perspective is super helpful. The exercises still need work, but they still provide a good foundation for learning this material.

For the maintainers, a good model for compound assignments of graduated difficulty is the sbt-moderated grading for the scala sequence. I think you did a very good job within the (maybe self-imposed?) constraint of single file upload, but this is the only major area allowing any improvement in this excellent course!

創建者 Saifuddin M

Sep 23, 2017

The course was well laid out and introduced me to some new concepts.

創建者 thiago a d m

May 05, 2018

First two courses are better. This one is quick and a little vague

創建者 Nickolay K

Sep 05, 2017

It forced me to recall OpenMP and MPI. Thought it's already dead in favor to IMDG, spark, upc and so on.

Practical tasks - miniprojects - was too easy to implement. Need more complex tasks.