🔹 1. Core Data Structures (Implementation + Application)

• Stack
  • Operations (Push, Pop, Peek)
  • Conditions: Stack Full, Stack Empty
  • Applications (Expression evaluation, recursion)
• Queue
  • Types: Linear Queue, Circular Queue, Priority Queue
  • Conditions: Queue Full, Queue Empty
  • Applications (Scheduling, buffering)
• Linked List
  • Types: Singly, Doubly, Circular
  • Operations (Insertion, Deletion, Traversal)
• Tree
  • Types: Binary Tree, BST
  • Traversals: Inorder, Preorder, Postorder, Level Order
• Graph
  • Types: Directed, Undirected, Weighted
  • Traversals: DFS, BFS
  • Applications (Shortest path, networks)

---

🔹 2. Searching & Sorting (With Optimization Thinking)

• Searching
  • Linear Search
  • Binary Search
• Sorting
  • Bubble Sort
  • Selection Sort
  • Insertion Sort
  • Merge Sort
  • Quick Sort

👉 Focus: When to use what (interview gold point)

---

🔹 3. Complexity Analysis (The Real Interview Filter)

• Time Complexity
• Space Complexity
• Best, Worst, Average Case
• Practical analysis of all algorithms covered

---

🔹 4. Asymptotic Notation

• Big O (O)
• Omega (Ω)
• Theta (Θ)

👉 Real-world understanding (not just theory dumping)

---

🔹 5. Big O Reduction Techniques

• Dropping constants
• Ignoring lower order terms
• Loop and recursion analysis tricks

👉 Shortcut thinking = faster problem solving

---

🔹 6. Expression Evaluation & Conversion

• Infix → Postfix
• Infix → Prefix
• Postfix Evaluation
• Prefix Evaluation

👉 Stack-based problem mastery (interview favorite)

---

🔹 7. Hashing (Smart Data Access)

• Hash Functions
• Collision Handling
  • Chaining
  • Open Addressing
• Applications (Search optimization)

---

🚀 Outcome (What Student Becomes)

• Strong in problem-solving mindset
• Can analyze any algorithm like a pro
• Ready for technical interviews (MNC level)
• Confidence to convert real-world problems into code