Operating Systems: Concurrency and Thread Management

Modern software relies on the ability to perform multiple tasks at once without sacrificing stability or speed. This course provides a clear pathway into the complex world of operating system concurrency, explaining how systems manage shared resources and parallel execution. You will gain the technical vocabulary and conceptual framework needed to optimize performance at the system level. By the end of this course, you will understand the mechanics of multi-threaded programming and how to design systems that avoid common synchronization errors. You will be able to explain how the kernel manages hardware resources to keep applications running smoothly. What you'll learn: - Understand the core differences between processes and threads in a modern environment - Apply synchronization primitives like locks, semaphores, and condition variables - Analyze and resolve concurrency issues such as race conditions and deadlocks - Explore multi-CPU scheduling and how operating systems balance workloads across cores - Practice designing thread-safe data structures for reliable data access - Learn about modern concurrency concepts including atomic operations and asynchronous patterns The course begins with essential terminology and the history of concurrent computing before guiding you through the implementation of locking mechanisms and scheduling strategies. This text-based curriculum is designed for beginner programmers and students who want to understand what happens under the hood of their code. No specialized hardware or software installation is required to get started. Develop a deeper understanding of system performance through these foundational concepts.