What you'll learn
- How to solve dynamic programming problems
- How to think in a programming way
- How to improve possible solution and enhance time and space complexity using Dynamic Programming
- How to Use an Example to come up with a Dynamic Programming Solution
- Basic knowledge about recursion
In this course, you are going to learn about one of the most popular programming topics, dynamic programming. This topic is known as one of the most difficult topics in the programming world. However, in this course, we are going to simplify it and deeply learn the basis on which it stands.
What we are going to do is to start by introducing and defining dynamic programming, and present two popular techniques that are generally used which are memoization, and tabulation. We are going to learn about the differences between them, and when and where to use each one of them.
This course contains multiple quizzes and coding exercises that will help you deeply understand each of the topics presented.
With that being said, I hope you enjoy this course, and I would love to help you make your dynamic programming experience more fun, and enjoyable as much as possible!
Good Luck and Enjoy!
Who this course is for:
- Software Developers
- Competitive programmers
Hello, I am Hadi Youness and I am studying Computer Engineering at the Lebanese American University (LAU). I like to share my knowledge with everyone, and I believe that teaching is the best way to fully understand anything since you must be very knowledgeable about a topic so that you can teach in in the most simplest ways.