Dynamic Programming Algorithms
This course, "Dynamic Programming Algorithms", is perfect for those who understand data structures and algorithms but struggle to solve dynamic programming problems. It provides a comprehensive understanding of critical Dynamic Programming concepts, empowering students to excel in competitive coding and interviews. Through detailed explanations, code implementations, and step-by-step walkthroughs, students will gain a deep understanding of each problem's solution. With 30 day money back guarantee, enrol now and learn the essential dynamic programming problems such as Fibonacci number, Climbing Stairs, House Robber, Decode Ways, Longest Common Subsequence, 0/1 Knapsack Problem, Target sum, Partion Equal Subset Sum, Count Number of Subsets, Coin Change, Coin Change ii, Word Break, and Regular Expression Matching. ▼
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Course Feature
Cost:
Paid
Provider:
Udemy
Certificate:
Paid Certification
Language:
English
Start Date:
2023-06-14
Course Overview
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Updated in [July 17th, 2023]
This course, "Dynamic Programming Algorithms", is designed to help students gain a comprehensive understanding of critical Dynamic Programming concepts. It covers a variety of dynamic programming problems, such as Fibonacci number, Climbing Stairs, House Robber, Decode Ways, Longest Common Subsequence, 0/1 Knapsack Problem, Target sum, Partion Equal Subset Sum, Count Number of Subsets, Coin Change, Coin Change ii, Word Break, and Regular Expression Matching. Through detailed explanations, code implementations, and step-by-step walkthroughs, students will gain a deep understanding of each problem's solution. This course is perfect for those who are struggling with dynamic programming problems despite their understanding of data structures and algorithms. With a 30 day money back guarantee, enrol now and see you inside!
Course Syllabus
Introduction
1- Fibonacci Number
2- Climbing Stairs
3- House Robber
4- Decode Ways
5- Longest Common Subsequence
6- 0/1 Knapsack Problem
7- Partition Equal Subset Sum
8- Longest Increasing Subsequence
9- Count Number of Subsets
10- Coin Change
11- Coin Change II
12- Word Break
13- Target Sum
14- Edit Distance
15- Regular Expression Matching
16- Range Sum Query 2D - Immutable
Pros & Cons
Comprehensive and informative lectures
Practical application of dynamic programming algorithms
Positive impact on job prospects
Lack of specific examples or exercises
Limited depth in certain topics
Insufficient interaction or engagement with the instructor
Course Provider
Provider Udemy's Stats at AZClass
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