Lesson 1Ambiguity in Algorithm SelectionJudging when common algorithms fail under unclear constraints.Start2 Micro-lessonsMicro lesson 1Ambiguous Input BoundariesMicro lesson 2Overconfidence in Algorithm Familiarity
Lesson 2Trade-offs in OptimizationRecognizing hidden costs and delayed effects in algorithmic optimization.Start2 Micro-lessonsMicro lesson 1Optimization with Hidden CostsMicro lesson 2Premature Optimization Risks
Lesson 3Scaling and Rare FailuresCalibrating judgment when scaling algorithms and facing rare but costly failures.Start2 Micro-lessonsMicro lesson 1Scaling Under UncertaintyMicro lesson 2Rare Failure Detection