Master the standard template for binary tree level order traversal and its variants (zigzag, right side view, level averages), with all solutions implemented in TypeScript.

Master the core techniques of two pointers on linked lists: using fast and slow pointers to find the middle node, detect cycles, and locate intersections, with all classic problems implemented in TypeScript.

A deep dive into linked list operations, reversal techniques, and TypeScript implementations of LFU/LRU caches, with complete code.

Master the core idea and variants of prefix sums (2D prefix sums, difference arrays, subarrays with sum K), and implement high-frequency interview problems in TypeScript.

Master classic randomized algorithms like Fisher-Yates shuffling, reservoir sampling, and Monte Carlo methods, with TypeScript implementations and practical applications.

Understand the three essential elements of recursion (base case, recurrence relation, return value), master tail recursion optimization and memoized search, and implement classic recursive algorithms in TypeScript.

Master recursive and iterative implementations of binary tree preorder, inorder, and postorder traversal, understand the O(1) space optimization of Morris traversal, and implement all variants in TypeScript.

Master the principles and TypeScript implementations of three classic shortest path algorithms, and understand when to use each (non-negative weight graphs, negative weight edges, multi-source).