D387: Advanced Java

Advanced Java is a Western Governors University course in the Bachelor of Science in Computer Science and related software programs.

WGU says it refines object-oriented programming expertise: you implement multithreaded, object-oriented code with Java features needed to meet business requirements, and decide how to deploy applications using cloud services. It carries 3 competency units and sits in the sixth term of the Computer Science standard plan.

WGU states that the course requires intermediate expertise in object-oriented programming and the Java language. Concurrency is the hard part: code can look correct and still fail intermittently, and deployment brings configuration problems that do not appear on your own machine.

What D387 Covers

Behind these sit core object-oriented ideas such as classes, interfaces and encapsulation, plus Java's concurrency tools and the basics of building and packaging an application.

Key Concepts Explained

Threads and Shared State

A thread is an independent path of execution. Starting threads is easy; sharing data between them is where bugs appear. A race condition occurs when two threads change the same value at once and the result depends on timing.

Managing Threads with Executors

Instead of creating threads by hand, Java provides executor services that manage a pool of threads. You submit tasks, then wait for completion and shut the pool down. This keeps code cleaner and avoids creating too many threads.

Deploying to a Cloud Service

Deployment means packaging the application, supplying its configuration (ports, environment values, credentials kept out of source code) and starting it on a managed service. Typical problems are missing configuration, wrong port settings and dependencies available locally but not in the build.

Typical Assignments and How to Approach Them

Details depend on the course version, so follow your own instructions. Common patterns include the following.

Where Students Get Stuck

• Race conditions that appear only sometimes. Repeat tests many times and look for shared mutable data.
• Deadlock. Two threads waiting on each other's locks. Acquire locks in a consistent order or reduce locking.
• Environment differences. A program that runs locally may fail in the cloud because of configuration.
• Weak object-oriented foundations. If classes and interfaces feel shaky, review them before adding concurrency.

Showing That Your Code Works

Concurrent code is hard to judge by reading alone, so evidence matters. Keep a short test log: what you ran, how many times, what you expected and what happened. If a result differed between runs, say how you changed the code and show the later runs.

For deployment, record the service you used, the settings you changed and the address where the application ran. A reader should be able to repeat your steps without guessing. Screenshots of a working deployment and of console output are far more convincing than a description.

Study Tips for D387

• Practice on tiny examples: a shared counter, a producer and consumer, a pool of tasks.
• Prefer higher-level tools such as executors over manual thread handling.
• Keep configuration outside the code so deployment is repeatable.
• Note every deployment step as you perform it.
• Test several times, not once, because concurrency bugs are intermittent.

How We Help with D387

Send the task description, your code, any error messages and the rubric. A Java developer can explain the concurrency design, show a worked example as a model, or review your code and deployment notes for issues.

GradeEssays is independent and not affiliated with WGU. Our help is for study and reference: learn the approach, then write and submit your own work under WGU's academic integrity policy. Orders are written from scratch, with free revisions within the scope of your original request and a full refund if late.