Advanced Data Structures & Algorithms (DSA)

Crack Product-Based FAANG Interviews. Master Time Complexities, Dynamic Programming, and Graph Systems.

Detailed Curriculum Modules

  • Understanding Asymptotic Notations: Big-O, Big-Omega, and Big-Theta metrics
  • Computing Time & Space Complexities of nested loops and conditional layouts
  • Memory Management basics: Stack allocation vs Heap structures tracking

  • Advanced Array Operations: Sliding Window, Two-Pointer tactics, and Prefix Sum maps
  • Stacks LIFO Matrix: Push/Pop execution, Infix to Postfix conversions, and Parentheses matching
  • Queues FIFO Architecture: Linear Queue, Circular Queue, and Priority Queue arrays

  • Singly Linked Lists: Node creation, runtime dynamic pointer traversals, and mid-insertions
  • Doubly & Circular Lists: Multi-directional link tracking and memory reuse models
  • Interview Matrices: Reversing nodes, detecting loops (Floyd's Cycle algorithm), and merging

  • Core Recursion: Call stack traces, base condition locks, and backtracking logic paths
  • Sorting Engines: Bubble, Selection, Insertion vs Merge Sort and Quick Sort split operations
  • Binary Search Systems: Divide and conquer search logic, lower/upper bounds tracking

  • Binary Trees: Hierarchical nodes layout, Tree Traversals (Inorder, Preorder, Postorder, Level-Order)
  • Binary Search Trees (BST): Insertion filters, item lookup mechanics, and node deletions
  • Introduction to Self-Balancing Maps: AVL Trees and Heap trees sorting loops

  • Graph Algorithms: Adjacency matrices, BFS (Breadth First) and DFS (Depth First Search) mappings
  • Shortest Paths: Dijkstra's routing and Minimum Spanning Trees (Kruskal's / Prim's maps)
  • Dynamic Programming (DP) Base: Memoization tables vs Tabulation, Knapsack problem logic

Batch Overview

Duration3-4 Months
Languages SupportedC++ / Java / Python
Problem Sets250+ LeetCode Solutions
EligibilityPre-requisite: Core Language
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