Lessons

Learning materials and resources.

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Explore Lessons

• Arrays and Nodes - Dynamic arrays, abstraction, linked nodes, and encapsulation.
• Algorithm Analysis - Asymptotic analysis in the context of iterative sorts.
• Search Trees - Merge sort, binary search trees, and tries.
• Balanced Search Trees - 2-3 trees and left-leaning red-black trees.
• Algorithm Design - Quicksort, counting sorts, and binary heaps.
• Object Composition - Hash tables and affordance analysis.
• Applications - Dynamic programming, minimum spanning trees, and disjoint sets.
• Graphs - Graph data types, traversals, and shortest paths trees.