Analysis of Algorithms Download For Free
What you’ll learn
- This course will lay a solid foundation on which you can develop and analyze your algorithms.
- You will learn to measure the performance of your algorithm in terms of the standard notations used in the industry.
- Taking this course will help you to ace your upcoming coding interviews.
Requirements
- Basic knowledge of Mathematics is required.
Description
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Analysis of Algorithms course is well-structured into a curriculum of 20+ video lectures, a wide variety of practice examples, quizzes & practice worksheets to test your understanding.
The curriculum focuses on the following topics:
- Basics of Algorithms: All you need to know about algorithms before learning to analyse them.
- Time and Space Complexity: These are the major factors on which the efficiency of your algorithm depends.
- Types of Analysis: Different situations while analysing an algorithm which are Worst Case, Average Case & the Best Case.
- Asymptotic Notations: The industry standard adopted worldwide for notifying algorithms majorly Big-O Notation, Omega Notation & the Theta Notation.
- Important Algorithmic paradigms such as Recursion, Divide & Conquer which you will come across heavily while solving a coding problem whether in your academic curriculum or in your Interview.
- Recurrence Relations and all types of recurrence relations you will come across in all recursive problems.
- Solving Recurrence Relations: using Substitution, Recursive Tree & Master theorem method.
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You can apply algorithmic analysis process on your Java, Python, Javascript, C, C++ or any other language code.
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Who this course is for:
- If you are studying/undertaking Computer Science in Undergrad school.
- If you are preparing for a Coding Interview.
- If you are planning to learn Data Structures and Algorithms.
- If you desire to contribute to the open source community.