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
Course Details
Explore the comprehensive course modules
Introduction, Complexity analysis, Basics of DSA
Dynamic Programming, Divide and Conquer, Recursion, Backtracking, Greedy etc.
Introduction, Insertion, Deletion, Searching, Sorting
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
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Dr. Harjeet is currently working as Assistant Professor in the School of Computer Science & Engineering at Lovely Professional University. She has 25+ years of experience as a Data Structure and Algorithms tutor in various colleges. She have conducted lots of workshops and skill development courses on programming languages, data structures and algorithms.