In this module, we will delve into fundamental concepts of multithreading, including the differences between processes and threads. We'll also explore various execution models and explain Amdahl's Law, providing a solid foundation for understanding multithreading.

In this module, we will cover the essentials of thread management, from creating threads to managing their priorities and states. You'll learn about handling thread exceptions, working with thread local variables, and addressing race conditions. Additionally, we'll dive into practical applications with a project on parallel text file processing.

In this module, we will explore the critical concept of thread synchronization. You'll learn about the synchronized keyword, locks, and various synchronization mechanisms, including semaphores and condition variables. Through practical examples, you'll gain a deep understanding of how to synchronize threads effectively.

In this module, we will continue our exploration of thread synchronization with advanced techniques. You'll work on projects involving CountDownLatch, barriers, phasers, and Exchangers. We'll also address deadlocks, the volatile keyword, and culminate with a project simulating a MapReduce job.

In this module, we will focus on the concept of thread reusability, emphasizing the importance of thread pools. You'll learn to use ThreadPoolExecutor, manage work queues, handle exceptions, and monitor performance. Additionally, we'll explore ForkJoinPools and the best practices for sizing thread pools.

In this module, we will introduce you to parallel algorithms, starting with Quick Sort and Binary Search. We'll discuss the efficiency and performance benefits of these parallel implementations. You'll also learn about naive and optimal methods for parallel matrix multiplication.

In this module, we will tackle some of the most famous multithreading problems. You'll learn about and implement solutions for the Dining Philosophers, Readers-Writers, and Sleeping Barber problems. We'll also discuss the No-Starve Mutex problem, providing practical examples and solutions.

In this module, we will apply multithreading concepts to real-world scenarios. You'll learn to monitor JVM performance, run asynchronous workloads with Spring Boot, and use RxJava for building parallel data pipelines. Finally, we'll demonstrate how to unblock UIs with multithreading in JavaFX.