Java Data Structures and Workflow Optimization — Lesson 2: Hashing, Maps, Sets, Trees, Heaps, and Priority Work

Technical Scope

• hash functions, collisions, maps, and sets
• binary search trees and traversal
• ordered maps and balanced-tree awareness
• heaps, priority queues, and scheduling

Instructor Demonstration

Demonstrate hash functions, collisions, maps, and sets inside a task-routing application whose performance degrades as volume and dependency complexity increase, then capture the exact configuration, command, transaction, report, or code evidence that proves the result.

Applied Workshop

Implement a controlled workshop covering binary search trees and traversal and ordered maps and balanced-tree awareness, then test a failure or exception involving heaps, priority queues, and scheduling.

1. Confirm environment, identity, data, dependencies, and expected result.
2. Complete the product-specific implementation or analysis.
3. Capture commands, configuration, output, logs, transactions, or reports.
4. Explain the operational, security, performance, or business trade-off.

Validation Standard

The Hashing, Maps, Sets, Trees, Heaps, and Priority Work result must be reproducible, traceable to approved inputs, and consistent with the expected Oracle product behavior.

• The intended target and ownership are verified.
• The result is supported by reproducible evidence.
• Security, performance, reliability, and support impact are reviewed.
• Unexpected behavior is investigated before acceptance.

Failure Analysis

Diagnose issues in hash functions, collisions, maps, and sets, binary search trees and traversal, ordered maps and balanced-tree awareness, or heaps, priority queues, and scheduling without making an unverified production change.

Learners isolate the smallest proven cause, apply a reversible correction, rerun validation, and record the preventive action.