A 7-module, ~14–16 week course on threads, JVM memory model, locks, concurrency utilities, async/reactive patterns, exchange-style system design, and concurrent big data with Spark.

Structure

Module Topic Duration Path
1 Threads, JVM Memory Model & Visibility 2 weeks module01/
2 Locks, Synchronization & Lock-Free Design 2 weeks module02/
3 Java Concurrency Utilities in Depth 2 weeks module03/
4 Asynchronous Programming & Reactive Thinking 2 weeks module04/
5 Concurrency Models Used in Exchanges 2 weeks module05/
6 Real-World Exchange System Design 2–3 weeks module06/
7 Using Spark to Concurrently Process Big Data 2 weeks module07/

How to Use

  • Teaching materials: Each module has a README.md with theory and key points.
  • Code: Java sources live under moduleNN/src/concurrency/moduleNN/. From the concurrency_course directory:

Compile one module (e.g. module01): bash mkdir -p out javac -d out module01/src/concurrency/module01/*.java

Run a main class: bash java -cp out concurrency.module01.VisibilityBug java -cp out concurrency.module01.VolatileFix

Repeat for other modules: replace module01 with module02 … module06. Module 6’s JMH_OrderBookBenchmark requires the JMH library; use SimpleOrderBookBenchmark for a plain-Java benchmark. Module 7 (Spark big data) uses Maven: run from module07/ with mvn compile exec:java -Dexec.mainClass="concurrency.module07.SparkRDDDemo" (or other main classes); see module07/README.md.

  • Hands-on: Each module README lists exercises and the table of classes with their purpose.

Prerequisites

  • Java 11+ (17+ recommended for modern APIs).
  • Basic familiarity with threads and synchronized (e.g. from advanced/Concurrency.java).