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Learn deeply
Build a durable mental model, then transfer it into a working application.
Foundation
Stage purpose: Establish the vocabulary and first working mental model.
Required background: Complete the linked prerequisites below or bring equivalent experience.
Expected outcome: Explain the core idea and use it in a small example.
Estimated time: 30 minutes
Lesson · Estimated time: 30 minutes
Outcomes
Explain the core idea in Trie — Four Problems Apply Trie — Four Problems in a representative exercise
Prerequisites: No prerequisite topics
Evidence: Practise the outcome in code and record what you learned.
Current status: Not started
Set Not started
Set Learning
Set Practised
Set Applied
Reset status
Recommended next: Matrix — Data Structure — Carry the Trie — Four Problems mental model into the next step with a concrete transfer exercise.
Core concepts
Stage purpose: Connect the concepts into a repeatable problem-solving model.
Required background: Complete the linked prerequisites below or bring equivalent experience.
Expected outcome: Apply the model to a representative exercise without copying a recipe.
Estimated time: 30 minutes
Lesson · Estimated time: 30 minutes
Outcomes
Explain the core idea in Matrix — Data Structure Apply Matrix — Data Structure in a representative exercise
Prerequisites: Trie — Four Problems
Evidence: Practise the outcome in code and record what you learned.
Current status: Not started
Set Not started
Set Learning
Set Practised
Set Applied
Reset status
Recommended next: Graph Algorithms — Fourteen Problems — Carry the Matrix — Data Structure mental model into the next step with a concrete transfer exercise.
Applied transfer
Stage purpose: Transfer the concepts into a realistic implementation task.
Required background: Complete the linked prerequisites below or bring equivalent experience.
Expected outcome: Produce a small artifact that proves the decision works.
Estimated time: 30 minutes
Lesson · Estimated time: 30 minutes
Outcomes
Explain the core idea in Graph Algorithms — Fourteen Problems Apply Graph Algorithms — Fourteen Problems in a representative exercise
Prerequisites: Matrix — Data Structure
Evidence: Practise the outcome in code and record what you learned.
Current status: Not started
Set Not started
Set Learning
Set Practised
Set Applied
Reset status
Recommended next: Complete this path by applying these outcomes in your own project.
Prepare for interviews
Prioritise high-frequency material, retrieve it quickly, and practise explaining it clearly.
Essential
Stage purpose: Secure the concepts that recur in most interviews.
Required background: Complete the linked prerequisites below or bring equivalent experience.
Expected outcome: Give a concise, accurate explanation with one concrete example.
Estimated time: 12 minutes
Lesson · Estimated time: 12 minutes
Outcomes
Explain the core idea in Trie — Four Problems Apply Trie — Four Problems in a representative exercise
Prerequisites: No prerequisite topics
Evidence: Answer aloud, give a concrete example, and identify the relevant trade-off.
Current status: Weak
Set Weak
Set Revising
Set Can explain
Set Interview ready
Reset status
Recommended next: Matrix — Data Structure — Use Trie — Four Problems as the setup for the next interview trade-off and explain the connection aloud.
Frequently asked
Stage purpose: Rehearse implementation choices that invite common follow-up questions.
Required background: Complete the linked prerequisites below or bring equivalent experience.
Expected outcome: Walk through a realistic API decision and defend the trade-offs.
Estimated time: 12 minutes
Lesson · Estimated time: 12 minutes
Outcomes
Explain the core idea in Matrix — Data Structure Apply Matrix — Data Structure in a representative exercise
Prerequisites: Trie — Four Problems
Evidence: Answer aloud, give a concrete example, and identify the relevant trade-off.
Current status: Weak
Set Weak
Set Revising
Set Can explain
Set Interview ready
Reset status
Recommended next: Graph Algorithms — Fourteen Problems — Use Matrix — Data Structure as the setup for the next interview trade-off and explain the connection aloud.
Advanced
Stage purpose: Prepare the details that distinguish a deeper answer.
Required background: Complete the linked prerequisites below or bring equivalent experience.
Expected outcome: Connect the concept to reliability, complexity, or production behavior.
Estimated time: 12 minutes
Lesson · Estimated time: 12 minutes
Outcomes
Explain the core idea in Graph Algorithms — Fourteen Problems Apply Graph Algorithms — Fourteen Problems in a representative exercise
Prerequisites: Matrix — Data Structure
Evidence: Answer aloud, give a concrete example, and identify the relevant trade-off.
Current status: Weak
Set Weak
Set Revising
Set Can explain
Set Interview ready
Reset status
Recommended next: Complete this path by applying these outcomes in your own project.