Fundamental Data Structures & Algorithms using C language.
Why take this course?
🎓 Course Title: Fundamental Data Structures & Algorithms using C language
🚀 Course Headline: Master Data Structures and Algorithms with C - Dive into Stack, Queue, Linked Lists, Binary Search Trees, and Heaps! 🚀
📘 Course Description: This course is a deep dive into the world of Data Structures and Algorithms through the lens of C programming. It's meticulously crafted to align with the standard curriculum for graduate-level engineering and computer application courses around the globe.
As you progress, you'll not only understand the theoretical foundations but also learn to translate these concepts into practical algorithms and subsequently implement them in C. This course is designed to enhance your problem-solving skills and provide a solid foundation in data management and algorithmic thinking.
👀 What You'll Learn: 🚀 Fundamentals of Data Structures: Gain an intuitive grasp of the core concepts that underpin efficient data handling.
📐 Importance of Data Structures: Discover why they are indispensable in software development and problem-solving.
🎨 Stack Implementation & Usage: Master the Stack data structure with its operations, applications like expression evaluation, and more.
⚫️ Queue: FIFO & Circular: Understand the First-In-First-Out (FIFO) principle and explore circular queue implementations.
🔄 Linked Lists: Learn about the advantages of Linked Lists over arrays, and delve into both Singly and Doubly Linked Lists with hands-on coding exercises.
🔁 Circular & Doubly Linked Lists: Explore special types of linked lists and their operations.
🌲 Binary Tree & Binary Search Trees: Discover the tree data structure, learn different traversal methods, and understand the Binary Search Tree's implementation.
⛰️ Heap Data Structure: Dive into heap operations, heapify, and heap sort.
🔬 Algorithm Efficiency Analysis: Learn to calculate the Big Oh, Big Theta, and Big Omega complexities for various algorithms.
🔎 Binary Searching: Understand the search technique that efficiently locates an item in a sorted list of items.
❓ Recursion: Explore recursive problem-solving approaches and compare them with iterative solutions.
Key Topics Covered:
- Fundamental Data Structure Concepts: The building blocks of efficient programming.
- Why We Need Data Structures: Real-world applications and their significance.
- Stack: Idea, definition, algorithm, implementations, and practical applications.
- Queue (FIFO): Essential operations and special types like circular queue.
- Circular & Double-ended Queue: Handling queues with limited space using arrays and lists.
- Linked Lists: Introduction to linked list structures and their operations.
- Singly Linked List: Implementing algorithms for various operations.
- Doubly Linked List: Dual-directional linked lists and their advantages.
- Circular Linked List: Special cases and implementations.
- Binary Tree & Binary Search Tree: Definitions, traversals, and practical implementations.
- Heap Data Structure: Definition, insertion, deletion, heapify, and heap sort.
- Algorithmic Efficiency Analysis: Understanding the complexities of algorithms.
- Binary Searching: The efficient way to search through a dataset.
- Recursion in C: Detailed exploration of recursive algorithms and their iterative counterparts.
- Binary Tree Traversals: In, Pre, and Post Order traversal techniques.
- Heap Operations: Insertion, deletion, adjustment, and heap sort algorithms.
Why This Course? By the end of this course, you'll have a comprehensive understanding of data structures and algorithms as implemented in C. The hands-on approach ensures that you not only learn theoretically but also practically implement these concepts, preparing you for advanced programming tasks. 🌟
Enroll now to embark on your journey to becoming a proficient programmer with a robust command over Data Structures and Algorithms in C! 🚀
Instructor Bio: Shibaji Paul is an experienced course instructor with a passion for teaching data structures and algorithms. With a wealth of knowledge and experience in programming, Shibaji has dedicated his career to making these complex topics accessible and engaging for learners around the globe. 🎓✨
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