Mastering Algorithms for Problem Solving in Java

Intermediate

96 Lessons

28h

Certificate of Completion

This course is about getting hands-on experience for solving Algorithms in Java.

AI-POWERED

Explanations

This course includes

2 Assessments

108 Playgrounds

10 Quizzes

206 Illustrations

This course includes

2 Assessments

108 Playgrounds

10 Quizzes

206 Illustrations

Course Overview

As a developer, mastering the concepts of algorithms and being proficient in implementing them is essential to improving problem-solving skills. This course aims to equip you with an in-depth understanding of algorithms and how they can be utilized for problem solving in Java. Starting with the basics, you'll gain a foundational understanding of what algorithms are, with topics ranging from simple multiplication algorithms to analyzing algorithms. Then, you’ll delve into more advanced topics like recursion...Show More

What You'll Learn

A comprehensive understanding of algorithms and their applications in problem-solving

Proficiency in implementing recursion and backtracking in Java for complex tasks in Java

Understanding and applying the concepts of memoization and dynamic programming for efficient computation

Hands-on experience solving algorithmic challenges in Java

Course Content

Getting Started

Introduction to the Course

Introduction to Algorithm

What is an Algorithm?Multiplication Algorithms Congressional Apportionment Describing Algorithms Analyzing Algorithms Quiz: Introduction to Algorithm

Recursion

Reduction Simplify and Delegate Tower of Hanoi Merge-sort Quick-sort The Pattern Recursion Trees Linear-Time Selection Fast Multiplication Exponentiation Challenge: Recursion Solution: Recursion Quiz: Recursion

Backtracking

N Queens Game Trees Subset Sum The General Pattern Text Segmentation (Interpunctio Verborum)Longest Increasing Subsequence–Alternate Algorithm Optimal Binary Search Trees Challenge: Backtracking Solution: Backtracking Quiz: Backtracking

Dynamic Programming

Fibonacci Numbers–Recursive Approach Fibonacci Numbers–Iterative Approach Text Segmentation Longest Increasing Subsequence Edit Distance Subset Sum–Dynamic Programming Optimal Binary Search Trees–Dynamic Programming Dynamic Programming on Trees Challenge: Dynamic Programming Solution: Dynamic Programming Quiz: Dynamic Programming

Greedy Algorithms

7 Lessons

Prove Your Skills: A Five-Chapter Assessment

Assessment

Basic Graph Algorithms

9 Lessons

Depth-First Search

11 Lessons

Minimum Spanning Trees

8 Lessons

Shortest Paths

10 Lessons

All-Pairs Shortest Paths

9 Lessons

Pushing Your Limits: A Comprehensive Assessment

Assessment

Wrapping up

1 Lesson

COURSE AUTHOR

How You'll Learn

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