Parallel, Concurrent, and Distributed Programming in Java Specialization Course Syllabus

Overview: This specialization provides a comprehensive exploration of parallel, concurrent, and distributed programming in Java, designed for developers seeking to build high-performance and scalable applications. The course is divided into three core modules followed by two integrative application modules and a final project. With a total time commitment of approximately 53 hours, learners will progress from foundational concepts to real-world implementation, combining theory with hands-on coding. The flexible structure allows working professionals to learn at their own pace while gaining practical skills applicable in cloud computing, finance, and large-scale systems development.

Module 1: Parallel Programming in Java

Estimated time: 19 hours

• Introduction to parallel computing and computation graphs
• Parallel speedup and Amdahl’s Law
• Implementing parallel algorithms with Java’s ForkJoin framework
• Using Streams API for data parallelism
• Identifying and avoiding data races in parallel programs

Module 2: Concurrent Programming in Java

Estimated time: 18 hours

• Creating and managing threads in Java
• Using locks and synchronization techniques
• Working with atomic variables and thread-safe collections
• Understanding deadlocks, livelocks, and their prevention

Module 3: Distributed Programming in Java

Estimated time: 16 hours

• Building networked applications with sockets
• Implementing Remote Method Invocation (RMI)
• Message passing in distributed systems
• Ensuring fault tolerance in distributed environments

Module 4: Applying Concurrency Concepts

Estimated time: 5 hours

• Analyzing real-world concurrency problems
• Debugging race conditions and thread interference
• Optimizing performance using concurrent design patterns

Module 5: Building Scalable Distributed Systems

Estimated time: 5 hours

• Designing scalable architectures with Java
• Integrating parallel and distributed components
• Evaluating system reliability and performance

Module 6: Final Project

Estimated time: 10 hours

• Develop a parallel-concurrent application using ForkJoin and Streams
• Extend the system with distributed communication via sockets or RMI
• Submit documented code and a short report on design choices and challenges

Prerequisites

• Strong understanding of Java programming language
• Familiarity with object-oriented design principles
• Basic knowledge of algorithms and data structures

What You'll Be Able to Do After

• Write efficient parallel programs using Java 8 Streams and ForkJoin framework
• Design and manage multithreaded applications with proper synchronization
• Build distributed Java applications using sockets and RMI
• Apply theoretical concepts like Amdahl’s Law, deadlocks, and data races to real systems
• Develop scalable, high-performance software suitable for cloud and enterprise environments