Concurrent Programming in Java
Master fundamental concepts of concurrent programming in Java 8, from threads and locks to actors and concurrent data structures.
Master fundamental concepts of concurrent programming in Java 8, from threads and locks to actors and concurrent data structures.
This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full Parallel, Concurrent, and Distributed Programming in Java Specialization program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.
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What you'll learn
Implement thread management and synchronization
Design deadlock-free concurrent applications
Use atomic variables and isolation techniques
Work with concurrent data structures
Apply the actor model for concurrency
Optimize concurrent program performance
Skills you'll gain
This course includes:
2.75 Hours PreRecorded video
4 assignments
Access on Mobile, Tablet, Desktop
FullTime access
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There are 7 modules in this course
This comprehensive course covers the fundamental concepts of concurrent programming in Java 8. Students learn essential concurrency constructs including threads, locks, critical sections, atomic variables, isolation, actors, and concurrent collections. The curriculum includes theoretical foundations such as progress guarantees, deadlock prevention, and linearizability. Through hands-on mini-projects and real-world examples, learners develop practical skills in implementing efficient and correct concurrent programs.
Welcome to the Course!
Module 1 · 1 Hours to complete
Threads and Locks
Module 2 · 4 Hours to complete
Critical Sections and Isolation
Module 3 · 4 Hours to complete
Talking to Two Sigma: Using it in the Field
Module 4 · 20 Minutes to complete
Actors
Module 5 · 3 Hours to complete
Concurrent Data Structures
Module 6 · 4 Hours to complete
Continue Your Journey with the Specialization
Module 7 · 15 Minutes to complete
Fee Structure
Instructor
Expert in Parallel Programming and Professor at Rice University
Dr. Vivek Sarkar is a Professor of Computer Science at Rice University, where he holds the E.D. Butcher Chair in Engineering. He is renowned for his contributions to parallel, concurrent, and distributed programming, as well as for developing the Habanero Java library and programming system, which are utilized in both teaching and research. Dr. Sarkar earned his B.Tech from the Indian Institute of Technology, Kanpur, an M.S. from the University of Wisconsin-Madison, and a Ph.D. from Stanford University. Before joining Rice in 2007, he spent two decades at IBM Research, where he led projects related to parallel software and was instrumental in releasing the open-source Jikes Research Virtual Machine for Java.At Rice University, Dr. Sarkar has taught various courses on concurrent and parallel programming, including "Concurrent Programming in Java" and "Distributed Programming in Java." He has also played a pivotal role in curriculum development, creating new courses such as Fundamentals of Parallel Programming and leading the Rice Online specialization on Parallel, Concurrent, and Distributed Programming on Coursera. His extensive research work includes programming languages, compiler optimizations, and runtime systems for high-performance computing.
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4.5 course rating
655 ratings
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