// Module 12 — DSA in Java

Data Structures & Algorithms in Java
Cracking the Coding Interview

Master problem-solving patterns, optimize complexity, and ace MAANG assessments. Translate raw logic into highly optimized, edge-case-proof Java code demanded by elite product companies.

LanguageJava 21 Collections
Focus150+ LeetCode Patterns
Milestones6 Labs
OutcomeMAANG-Ready Repo
TimelineMilestones: 6
Arrays & StringsLinked ListsStacks & QueuesTrees & BSTsHeaps & TriesGraphs & DP

// Lab Roadmap — Hands-on Session View

Module Flow

Patterns → Optimization → Interview

6 Deep Labs
Lab 01Phase 1

Asymptotic Analysis & Linear Structures

  • Multi-pointer techniques
  • Sliding window patterns
  • Brute force → O(N) optimization
  • String manipulation drills
Lab01
Lab 02Phase 2

Custom Linked Lists

  • Singly, doubly, circular variants
  • Memory-efficient implementations
  • Cycle detection algorithms
  • Pointer manipulation drills
Lab02
Lab 03Phase 3

Stacks & Queues

  • Low-latency expression evaluator
  • Custom Min Stack in O(1)
  • Monotonic stack patterns
  • Deque-based windows
Lab03
Lab 04Phase 4

Binary Trees & BSTs

  • Recursive evaluation engines
  • Inorder, preorder, postorder
  • Self-balancing search logic
  • Tree DP patterns
Lab04
Lab 05Phase 5

Heaps, HashMaps & Tries

  • Autocomplete with Trie
  • PriorityQueue stream-median
  • HashMap collision patterns
  • Top-K problem patterns
Lab05
Lab 06Phase 6

Graphs & Dynamic Programming

  • BFS, DFS, Dijkstra
  • Bottom-up DP grids
  • Matrix calculators
  • Optimization proofs
Lab06