Master the art of Dynamic Programming

Course Feature

Cost

Paid
Provider

Udemy
Certificate

Paid Certification
Language

English
Start Date

2019-03-29
Learners

No Information
Duration

No Information
Instructor

Ajay Prakash

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4.6

5,030 Ratings

This course will teach you the art of dynamic programming. You will learn the in-depth theory behind dynamic programming, recursion and backtracking techniques, and a step by step approach to come up with dynamic programming solutions to a given problem from scratch. You will also learn how to apply the step by step approach for one-dimensional and multi-dimensional dynamic programming problems with detailed examples. Finally, you will learn how to analyze the time and space complexities of recursive solutions as well as dynamic programming solutions. Master the art of dynamic programming and become a coding interview expert!

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Course Overview

❗The content presented here is sourced directly from Udemy platform. For comprehensive course details, including enrollment information, simply click on the 'Go to class' link on our website.

Updated in [July 17th, 2023]

Master the Art of Dynamic Programming is a course designed to help students understand the theory behind dynamic programming and learn how to implement dynamic programming algorithms. Through this course, students will gain an in-depth understanding of recursion and backtracking techniques, as well as a step-by-step approach to come up with dynamic programming solutions to a given problem from scratch. Additionally, students will learn how to apply the step-by-step approach for one-dimensional and multi-dimensional dynamic programming problems with detailed examples. Finally, students will learn how to analyze the time and space complexities of recursive solutions as well as dynamic programming solutions.

Course Syllabus

Introduction

Recursion

Backtracking

Introduction to Dynamic Programming

Optimization

Step by Step approach for solving Dynamic Programming problems

One dimensional Dynamic Programming

Two dimensional Dynamic Programming

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Pros & Cons

Methodical approach to learning dynamic programming.
Helps in understanding recursion and dynamic programming.
Improves understanding and ability to solve problems using dynamic programming.
Provides complete and step-by-step solutions.
Highly recommended for beginners and those struggling with DP problems.

Inaccurate codes in the course content.
Bug in the solution for the longest increasing subsequence problem.
Confusion caused by discrepancies between slides and instructor's explanations.
Lack of voice clarity.
Insufficient use of diagrams to explain concepts.

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