Introduction to Algorithm Analysis [For Complete Beginners]

Understand and solve algorithms using Big O, Big Omega, and Theta time complexity.

3.40 (14 reviews)
Udemy
platform
English
language
Math
category
instructor
Introduction to Algorithm Analysis [For Complete Beginners]
141
students
1.5 hours
content
Jan 2019
last update
$39.99
regular price

What you will learn

Analyze the asymptotic growth of a program

Analyze the time complexity of many algorithms

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Why take this course?

🎓 **Course Title:** Introduction to Algorithm Analysis [For Complete Beginners] GroupLayout: 🧠 **Headline:** 🚀 Understand and Solve Algorithms Using Big O, Big Omega, and Theta Time Complexity 📐 --- **Course Description:** Dive into the world of algorithm analysis with our comprehensive online course designed for **complete beginners**! If you've ever felt overwhelmed by the terminology of algorithm complexity or unsure about how to approach solving problems efficiently, this is the perfect starting point for you. 📖 **What You'll Learn:** - **The Core Concepts:** Get a clear understanding of Big O, Big Omega, and Theta notations - the key concepts in algorithm analysis. - **Real-World Applications:** Discover why these concepts are crucial for solving real-world problems efficiently. - **Hands-On Practice:** With a variety of examples and quizzes, you'll apply what you learn directly to algorithms and programs. **Why This Course?** - **Efficiency Mastery:** Learn the tools to analyze algorithms so that you can write code with time complexity in mind. - **Time Investment:** This concise course is designed to fit into your schedule, requiring only about 90 minutes of your time. - **Interactive Learning:** Engage with a curriculum rich in examples and quizzes to solidify your understanding of algorithm analysis. **Course Structure:** 1. **Introduction to Algorithm Analysis:** Understanding what it's all about and why it matters. 2. **Big O Notation:** Learn the foundational concept that describes an algorithm's worst-case scenario. 3. **Big Omega Notation:** Explore the best-case scenario analysis of your algorithms. 4. **Theta Notation (Omega and Ohmega):** Dive deeper with the most precise form of analysis to describe an algorithm’s performance. 5. **Practical Examples:** Real-world examples that bring these concepts to life, making them easier to grasp and apply. 6. **Quizzes & Challenges:** Test your understanding with quizzes throughout the course and solidify your knowledge. 7. **Final Assessment:** A comprehensive evaluation to ensure you have a strong grasp of algorithm analysis. By the end of this course, you'll be equipped with the knowledge to not only understand Big O, Big Omega, and Theta but also to apply these concepts to solve problems with confidence and precision. Join us and take the first step towards becoming an algorithm analysis expert! 🧠✨ Enroll now and transform the way you approach problem-solving in computer science! Let's embark on this journey together and unlock your full potential in algorithm analysis!

Reviews

Ahmet
June 12, 2020
I think this is a great course. If you are interested int theory rather than practice you should definitely take this course! Worked pretty good for me.
Christina
August 28, 2019
The instructor did not really focus on analysing the code complexity and spent time on worthless computations
Juan
July 30, 2019
Would like more rigorous demonstration of proving a function belongs to O(g(n)). Would also like access to solved versions of quiz questions so I can see why I missed some.
Savio
November 24, 2018
Great course. I recommend it. Maybe the problem is me, but I am having a hard time to understand the symbols. I didn't see the pre-reqs to it

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460698
udemy ID
3/27/2015
course created date
9/24/2023
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