LPU - Lovely Professional University
What you'll learn

DSA Placement Bootcamp: Master Data Structures & Algorithms for Industry is a structured, hands-on program designed to prepare students for coding interviews and top company placements. The course covers the complete spectrum of Data Structures and Algorithms (DSA) — from fundamentals to advanced topics — with a strong emphasis on live problem-solving and interview patterns.

  • Complexity Analysis: Big O, O, T with real-life examples · Math Essentials, Array Basics & In-place Operations · Prefix Sums · Two Pointers Technique, Sliding Window Technique (Fixed & Variable Window), String Manipulation & Hashing for Strings, Binary Search (Basic + Advanced Applications)
  • Recursion Patterns & Call-Stack Visualization · Divide & Conquer paradigm, Merge Sort & Quick Sort (in-place), Singly, Doubly & Circular Linked Lists · Fast & Slow Pointer Technique, Hashing: Hash Maps & Hash Sets for problem solving, Stacks & Queues (Array + LL implementation) · Monotonic Stack · Deque & Priority Queue
  • Binary Tree Traversals: Inorder, Preorder, Postorder, Level Order · Binary Search Tree (BST): Insert, Search, Delete, Advanced Binary Tree Problems · BST Properties & Validation, Heap & Priority Queue (Min-Heap / Max-Heap), Advanced Heap Problems · Two-Heap pattern · Tries (Introduction), Segment Trees & Fenwick Trees (BIT)
  • Graph Representations: Adjacency List & Matrix · BFS & DFS on Graphs, Shortest Path Algorithms: Dijkstra's, Bellman-Ford, Floyd-Warshall, Disjoint Set Union (DSU) — Union by Rank + Path Compression
  • DP Fundamentals: Overlapping Subproblems, Optimal Substructure · Memorization vs Tabulation · 1D DP, Advanced DP

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Mahipal Singh Papola
Assistant Professor

Mr. Mahipal Singh is a Dedicated Assistant Professor with over 3 years of academic experience and 5+ years of industry exposure, specializing in Data Structures & Algorithms (DSA) and Machine Learning / AI. Proven track record in delivering high-impact teaching, mentoring students for placements, certifications, and real-world projects, and bridging the gap between academia and industry through practical, implementation-oriented learning.