Java Data Structures and Workflow Optimization — Lesson 3: Searching, Sorting, Graphs, Recursion, and Dependencies

Technical Scope

• linear and binary search
• comparison sorting and stability
• graphs, BFS, DFS, and adjacency models
• topological ordering, cycles, recursion, and iteration

Instructor Demonstration

Demonstrate linear and binary search 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 comparison sorting and stability and graphs, BFS, DFS, and adjacency models, then test a failure or exception involving topological ordering, cycles, recursion, and iteration.

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 Searching, Sorting, Graphs, Recursion, and Dependencies 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 linear and binary search, comparison sorting and stability, graphs, BFS, DFS, and adjacency models, or topological ordering, cycles, recursion, and iteration without making an unverified production change.

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