Algorithms in C : Concepts, Examples, Code + Time Complexity

🎓 Master Algorithms in C: From Fundamentals to Advanced Concepts!

Course Title: Algorithms in C : Concepts, Examples, Code + Time Complexity 🚀

Headline: 🧠 Learn algorithms in C language. Understand Logic with examples, practice code and crack those programming interviews! 🚀

What's New in the Updated Version (January 14, 2017):

• ✅ Time Complexity of Merge Sort: Dive deeper into understanding how this popular sorting algorithm performs.
• 🔢 Extended Euclidean Algorithm in Number Theory: Discover the secrets behind this important algorithm in number theory.
• 🌲 New Section on Transform and Conquer algorithms: Explore new territories with algorithms that transform data structures for efficient problem solving.

Why Take This Course? 🤔

Algorithms are the backbone of efficient software design. They enable your code to take the correct decisions and handle complex operations smoothly. By mastering algorithms, you can optimize your programming skills and create robust, high-performance applications.

• 💼 Understanding Algorithm Design: Learn how to design algorithms that solve real-world problems efficiently.
• 👨‍💻 Efficient Programming: Write programs that perform well even under heavy computational load.
• 🚀 Kickstart Your Journey: Begin your journey into the world of programming with a strong foundation in algorithms.

Course Design & Structure: 📚

This comprehensive course is structured to take you through the core concepts and practical applications of algorithms in C, step by step.

Overview:

• Get acquainted with the course, the author, and an overview of what to expect.

Brute Force:

• Explore the basics of problem-solving using brute force techniques.

Divide and Conquer:

• Master algorithms like quick sort and merge sort through practical examples.

Decrease and Conquer:

• Learn about binary search and insertion sort, and understand their applications.

Transform and Conquer:

• Discover the transform-and-conquer technique with a focus on heap sort.

Dynamic Programming:

• Solve problems with overlapping sub-problems using Warshall's and Floyd's algorithms.

Greedy Technique:

• Understand minimum spanning tree concepts and learn algorithms like Prim's and Kruskal's.

Number Theory:

• Dive into numerical computations with Euclid's Algorithm, Extended-Euclidean Algorithm, and RSA algorithm.

Time Complexity:

• Learn the importance of time complexity and how to analyze it using asymptotic notations.

Who This Course Is For: 👥

• Aspiring programmers who want to build a strong foundation in algorithms.
• Software developers looking to improve their coding efficiency.
• Job seekers preparing for programming interviews and wanting to stand out with their algorithmic knowledge.

Enroll Now & Get Lifetime Access! 🎫

Upon enrollment, you will gain unlimited access to all course resources and lectures. The course is continuously updated with new content, quizzes, and resources to keep your knowledge current and relevant. Don't miss out on this opportunity to master algorithms in C! 🎉

Sign Up Today & Transform Your Coding Skills! 🖥️✨