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The Road To Dynamic Programming: Java, JavaScript, & Python

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The Road To Dynamic Programming: Java, JavaScript, & Python, available at $49.99, has an average rating of 4.3, with 42 lectures, 6 quizzes, based on 218 reviews, and has 23650 subscribers.

Rating4.3
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You will learn about 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 This course is ideal for individuals who are Python, Java, or JavaScript programmers or Software Developers or Competitive programmers It is particularly useful for Python, Java, or JavaScript programmers or Software Developers or Competitive programmers.

Enroll now: The Road To Dynamic Programming: Java, JavaScript, & Python

Summary

Title: The Road To Dynamic Programming: Java, JavaScript, & Python

Price: $49.99

Average Rating: 4.3

Number of Lectures: 42

Number of Quizzes: 6

Number of Published Lectures: 42

Number of Published Quizzes: 6

Number of Curriculum Items: 48

Number of Published Curriculum Objects: 48

Original Price: $24.99

Quality Status: approved

Status: Live

What You Will 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

Who Should Attend

  • Python, Java, or JavaScript programmers
  • Software Developers
  • Competitive programmers

Target Audiences

  • Python, Java, or JavaScript programmers
  • Software Developers
  • Competitive programmers

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.

Then, we are going to solve some of the most famous dynamic programming problems by a detailed explanation of the problem, followed by an example walkthrough. Then, we come up with a pseudo-code, and finally we implement our code using three languages, Java, JavaScript, and Python.

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!

Course Curriculum

Chapter 1: Introduction

Lecture 1: Introduction and Welcome Video

Lecture 2: Requirements

Chapter 2: Basics Of Dynamic Programming

Lecture 1: Fibonacci Sequence and Recursive Solution

Lecture 2: Memoization

Lecture 3: Tabulation

Chapter 3: Minimum Number Of Bills to Return an Amount

Lecture 1: Explanation and Example walkthrough

Lecture 2: Pseudo-Code of the problem

Lecture 3: Java Implementation

Lecture 4: JavaScript Implementation

Lecture 5: Python Implementation

Chapter 4: Number Of Ways to Return an Amount

Lecture 1: Problem Explanation and Example Walkthrough

Lecture 2: Pseudo-Code of the problem

Lecture 3: Java Implementation

Lecture 4: JavaScript Implementation

Lecture 5: Python Implementation

Chapter 5: Knapsack With Repetition

Lecture 1: Introduction to The Knapsack Problem

Lecture 2: Problem Explanation and Example Walkthrough

Lecture 3: Pseudo-Code of the problem

Lecture 4: Java Implementation

Lecture 5: JavaScript Implementation

Lecture 6: Python Implementation

Chapter 6: Knapsack Without Repetition

Lecture 1: Problem Explanation and Example Walkthrough

Lecture 2: Pseudo-Code Of The Problem

Lecture 3: Java Implementation

Lecture 4: JavaScript Implementation

Lecture 5: Python Implementation

Chapter 7: Number Of Subsets that Add Up to A Specific Number

Lecture 1: Problem Explanation and First Solution

Lecture 2: Optimized Solution Using Dynamic Programming and Pseudo-Code

Lecture 3: Java Implementation

Lecture 4: JavaScript Implementation

Lecture 5: Python Implementation

Chapter 8: Longest Common Subsequence

Lecture 1: Problem Explanation and Example Walkthrough

Lecture 2: Improved Solution Using Dynamic Programming and Pseudo-Code

Lecture 3: Java Implementation

Lecture 4: JavaScript Implementation

Lecture 5: Python Implementation

Chapter 9: Longest Increasing Subsequence

Lecture 1: Problem Explanation and First Solution

Lecture 2: Improved Solution Using Dynamic Programming and Pseudo-Code

Lecture 3: Java Implementation

Lecture 4: JavaScript Implementation

Lecture 5: Python Implementation

Chapter 10: Final Message

Lecture 1: Thank You and Quick Tips

Instructors

Rating Distribution

  • 1 stars: 3 votes
  • 2 stars: 2 votes
  • 3 stars: 22 votes
  • 4 stars: 23 votes
  • 5 stars: 168 votes

Frequently Asked Questions


How long do I have access to the course materials?


You can view and review the lecture materials indefinitely, like an on-demand channel.


Can I take my courses with me wherever I go?


Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

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