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 resources in parallel programs. By the end of this course, you will learn how to use basic concurrency constructs in Java such as threads, locks, critical sections, atomic variables, isolation, actors, optimistic concurrency and concurrent collections, as well as their theoretical foundations (e.g., progress guarantees, deadlock, livelock, starvation, linearizability).
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.
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來自CONCURRENT PROGRAMMING IN JAVA的熱門評論
Great course. With minimal effort you can learn about important concepts and see immediate results regarding the actual speedup you can achieve using concurrent programming.
This was a good course and covered all the topics relevant to the course. I liked the Optimistic Concurrency in week 4 - that was an area I was not exposed to before
Very well structured and presented course! Very useful material with good relevant examples! Thank you, Prof. Sarkar for this Concurrent Programming in Java course!
A lot of my time has been wasted due to a very poor explanation of actors. All it takes is "Actors have their own threads and that is how they are concurrent.
關於 Parallel, Concurrent, and Distributed Programming in Java 專項課程
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.