This is a learning outline. A complete worked tutorial has not been published for this topic yet.
01
Model the operations
Compare list set and map for a sample task
Evidence: t050/m01/evidence
02
Arrays maps and sets
Choose a lookup representation for duplicate detection
Evidence: t050/m02/evidence
03
Compare basic complexity
Test empty repeated and missing values
Evidence: t050/m03/evidence
04
Test edge cases
Explain the time-memory trade-off without unsupported performance numbers
Evidence: t050/m04/evidence
03 / TRY IT
Apply the micro-course
Demonstrate the promised artifact
Explain the time-memory trade-off without unsupported performance numbers
Independently explain and change one assumption in a justified data-structure choice with tests.
Keep your work
Explain lookup/update trade-offs and verify representative edge cases.; The documented failure/uncertainty is visible, and no prohibited action or unsupported success claim occurs.; The learner predicts and verifies the change; AI output is not accepted without understanding.
Check your understanding
Explain lookup/update trade-offs and verify representative edge cases.
Show one small example, the expected result and the reasoning behind it.
Record one limitation or edge case and a question to discuss with a mentor.
04 / LEARN WITH HELP
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