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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.
Taking this course will also help you in your upcoming coding interview.
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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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