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
DSA, Operations, Complexity Analysis
Introduction to Arrays, Array Declaration and Initialization, Memory Representation and Indexing, Array Traversal, Array Insertion and Deletion, Searching Techniques (Linear and Binary Search), Sorting Techniques, Common Array Problems, Two-Dimensional Arrays (Matrices), Time and Space Complexity Analysis
Introduction to Linked Lists, Types of Linked Lists, Node Structure and Memory Representation, Linked List Traversal, Insertion Operations, Deletion Operations, Searching in Linked Lists, Reversal of Linked Lists, Circular and Doubly Linked Lists, Time and Space Complexity Analysis
Introduction to Stack, Stack Operations (Push, Pop, Peek), Stack Implementation using Arrays, Stack Implementation using Linked Lists, Applications of Stack, Expression Evaluation and Conversion, Parentheses Matching, Recursion and Call Stack, Monotonic Stack Problems, Time and Space Complexity Analysis
Introduction to Queue, Queue Operations (Enqueue, Dequeue, Front, Rear), Queue Implementation using Arrays, Queue Implementation using Linked Lists, Circular Queue, Double-Ended Queue (Deque), Priority Queue, Applications of Queue, Queue-Based Problem Solving, Time and Space Complexity Analysis
Binary Tree, BST, AVL Tree, Tree Traversal, Graph Traversal, Shortest Path Algorithms
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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 9+ 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.
Dr. Puneet is currently working as Associate Professor in the School of Computer Science & Engineering at Lovely Professional University. He has done Master’s in Computer Science and Engineering and has 13+ 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.
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