What you'll learn

This course provides a solid foundation in Data Structures and Algorithms (DSA) using C++. It covers fundamental concepts such as arrays, linked lists, stacks, queues, trees, graphs, sorting, and searching algorithms. Through hands-on coding exercises and problem-solving techniques, students will develop a strong understanding of how data is stored, manipulated, and optimized in real-world applications. By the end of this course, learners will be able to analyze algorithm efficiency and implement data structures efficiently in C++. Outcomes: 1. Understand the Fundamentals of DSA. 2. Implement Basic Data Structures in C++ 3. Apply Trees and Graphs Concepts 4. Master Searching and Sorting Algorithms 5. Analyze Algorithm Complexity 6. Solve Real-World Problems Using DSA

  • Overview of Data Structures and Algorithms Importance of Time and Space Complexity Big O, Big O, and Big T Notations Algorithm Design Techniques: Greedy, Divide & Conquer, Dynamic Programming Recursion and its Applications
  • Arrays: Definition, Operations, Applications Searching Algorithms: Linear Search, Binary Search Sorting Algorithms: Bubble Sort, Selection Sort, Insertion Sort, Merge Sort, Quick Sort Sorting Algorithms: Bubble Sort, Selection Sort, Insertion Sort, Merge Sort, Quick Sort Introduction to Linked Lists Types: Singly Linked List, Doubly Linked List, Circular Linked List Operations: Insertion, Deletion, Traversal, Reversal Applications of Linked Lists
  • Introduction to Linked Lists Types: Singly Linked List, Doubly Linked List, Circular Linked List Operations: Insertion, Deletion, Traversal, Reversal Applications of Linked Lists
  • Stacks: Concepts, Implementation, Applications (e.g., Balancing Symbols, Postfix Evaluation) Queues: Types (Simple Queue, Circular Queue, Priority Queue) Deque and Applications Real-World Use Cases
  • Introduction to Trees and Terminologies Binary Trees: Traversals (Inorder, Preorder, Postorder) Binary Search Tree (BST): Insertion, Deletion, Search AVL Trees: Rotations and Balancing Heaps: Min-Heap, Max-Heap, Heap Sort Introduction to Graph Graph Traversals Shortest Path Algorithms Prims and Kruskal Algorithms
  • Introduction to Hashing Hashing Techniques Collision Resolution Techniques

Sudha Shanker Prasad
Assistant Professor

Mr. Sudha is currently working as Assistant Professor in the School of Computer Science & Engineering at Lovely Professional University. He has done Master’s in Computer Science and Engineering and has 7+ years experience as a Data Structure and Algorithms tutor in various colleges. He have conducted lots of workshops and skill development courses on programming languages, data structures and algorithms.


Amarinder Kaur
Assistant Professor

Ms. Amarinder Kaur is currently working as Assistant Professor in the School of Computer Science & Engineering at Lovely Professional University. She has 20+ years of experience as a Data Structure and Algorithms tutor in various colleges. He have conducted lots of workshops and skill development courses on programming languages, data structures and algorithms.