Dynamic Programming

Excel in the Dynamic Programming and ace your next coding interview.
4.18 (14 reviews)
Udemy
platform
English
language
Software Engineering
category
instructor
Dynamic Programming
67
students
1.5 hours
content
Apr 2019
last update
$19.99
regular price

Why take this course?

🎉 Course Title: Dynamic Programming Mastery: Conquer Coding Interviews with Ease!


🎓 Course Headline: Excel in the Dynamic Programming and ace your next coding interview!


Unlock the Power of Dynamic Programming 🚀

Dynamic programming is an essential algorithmic technique used to solve problems that are divided into overlapping subproblems. This course will take you through the intricacies of dynamic programming, a powerful optimization tool that can transform exponential-time problems into efficiently solvable ones.

Why Master Dynamic Programming? 🤔

Dynamic programming is not just a theoretical concept; it's a practical algorithm that is widely used in real-world applications and is a staple in the coding rounds of many tech company interviews. It's also integral to the functioning of advanced technologies like Neural Networks, which utilize dynamic programming along with the Chain Rule from calculus.


What You'll Learn:

  • Foundations of Dynamic Programming: Understand the basics and learn how to write a dynamic programming solution efficiently.
  • Time Complexity Analysis: Gain the ability to assess the time complexity of your dynamic programming solutions.
  • Real-World Application: See how dynamic programming is used in machine learning, specifically in Neural Networks.
  • Practical Problem Solving: Engage with a variety of problems categorized into three groups: 1-Dimensional, 2-Dimensional, and Bit-masking Problems.

Course Structure:

📚 1-Dimensional Problems:

  • Problem 1: Calculating the Nth Fibonacci Term without exhaustive computation.
  • Problem 2: Identifying the Longest Increasing Subsequence within a sequence for optimization challenges.

🚀 2-Dimensional Problems:

  • Problem 1: Finding the Longest Common Subsequence between two sequences, a common problem in string processing.
  • Problem 2: Determining the Longest Palindromic Subsequence to understand palindromic properties in sequences.

🔒 Bit-masking Problems:

  • Problem 1: Addressing the Travelling Salesman Problem using bit manipulation techniques.
  • Problem 2: Solving the Assignment Problem, which involves assigning tasks to individuals efficiently.

Your Journey with Dynamic Programming 🛣️

This course aims to provide you with a mental model for tackling dynamic programming problems systematically. After mastering these concepts and techniques, you'll be ready to practice and perfect your skills on leading coding platforms like Spoj, LeetCode, Codeforces, and Codechef.


Join Now and Begin Your Journey Towards Coding Excellence! 🎈

With "Dynamic Programming Mastery," you'll gain a deep understanding of this essential algorithmic approach and equip yourself with the tools necessary to succeed in coding interviews and beyond. Don't miss out on this opportunity to transform your problem-solving skills and elevate your coding game! Enroll today and unlock the full potential of your coding abilities. 💻✨

Course Gallery

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1726202
udemy ID
01/06/2018
course created date
03/09/2020
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