Modern machines have many CPU cores, and modern programs must do many things at once, serve concurrent requests, perform background work, parallelise computation. Concurrency is how a Java program runs multiple sequences of instructions seemingly or actually simultaneously, and a thread is the fundamental unit: an independent path of execution within a process, with its own call stack but sharing the process's heap memory with other threads.
You can create threads directly by implementing Runnable or extending Thread, but managing raw threads, creating, starting, and reusing them, is error-prone and wasteful. The Executor framework solves this by separating what work to run from how it is run: you submit tasks to an executor backed by a managed thread pool, and it schedules them onto a reusable set of threads, returning a Future for any result.
Understanding threads and executors matters because almost every real Java application is concurrent, and getting concurrency right is both essential and notoriously hard. Grasping what a thread is, why sharing mutable state across threads is dangerous, and why the Executor framework's pooled, task-based model is preferred over hand-managed threads is the foundation for everything else in this module.