Master array and ArrayList operations in Java including traversal, searching, insertion, deletion, and modification. Compare fixed-size arrays with dynamic ArrayLists, understand index-based access, practice common algorithms like linear search and finding min/max values, and analyze time complexity (O(n) for search, O(1) for access). Learn when to use arrays versus ArrayLists based on performance and flexibility requirements.
Construct dynamic 2D Binary Search Trees element by element. Run animated depth-first traversals (In-order, Pre-order, Post-order) stepping through the recursive call stack.
Witness the internal array backing an ArrayList dynamically resize. Compare fixed memory bounds against O(N) copy operations when capacity is exceeded.
Deconstruct nested loops covering Row-Major, Column-Major, and boundary tracing across a 2D integer matrix.
Analyze algorithm efficiency using Big-O notation to describe time and space complexity. Compare O(1) constant time, O(log n) logarithmic, O(n) linear, O(n log n) linearithmic, O(n²) quadratic, and O(2ⁿ) exponential growth rates. Visualize how input size affects runtime, understand best/average/worst case scenarios, and learn to identify complexity by analyzing loops, recursion depth, and data structure operations.