Synthesizing all learned concepts to tackle interview-style problems, focusing on patterns, trade-offs, and optimization strategies.
Recognizing and applying common algorithmic patterns like Two Pointers, Sliding Window, and Backtracking.
Analyzing how using more memory can speed up algorithms, and vice versa.