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Data Structures & Algorithms

Greedy Algorithms

Advanced mastery of greedy algorithms: recognizing limits, calibrating judgment, and restraining action when local choices threaten global outcomes.
Goal:
Learn how local choices lead to solutions.
3Lessons
6Micro-lessons
AdvancedDifficulty
Lesson 1

Ambiguity in Greedy Choices

Explore how ambiguity distorts greedy algorithm decisions and why restraint is essential.
Start2 Micro-lessons

Micro lesson 1
Ambiguous Input: Local vs Global
Micro lesson 2
Conflicting Signals: Greedy or Wait?
Lesson 2

Hidden Costs of Greedy Strategies

Reveal delayed consequences and compounding errors from unchecked greedy actions.
Start2 Micro-lessons

Micro lesson 1
Delayed Damage: Greedy Cascade
Micro lesson 2
Accumulated Loss: Invisible Trade-offs
Lesson 3

When Greedy Fails: Calibration and Restraint

Diagnose subtle failures and define conditions for holding back or recalibrating.
Start2 Micro-lessons

Micro lesson 1
Recognizing Greedy Failure Early
Micro lesson 2
Defining When to Hold Back