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Mastering Algorithms for Problem Solving in Java

Gain insights into essential algorithms for effective problem-solving in Java. Delve into recursion, dynamic programming, and graph algorithms to enhance your coding.

4.7
96 Lessons
28h
Updated 2 months ago
Also available in
C++
Java
Python
Also available in
JavaJava
Join 2.9 million developers at
Join 2.9 million developers at
LEARNING OBJECTIVES
  • 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

Learning Roadmap

96 Lessons10 Quizzes2 Assessments

2.

Introduction to Algorithm

Introduction to Algorithm

Look at the fundamentals of algorithms, their historical evolution, and efficiency analysis.

3.

Recursion

Recursion

13 Lessons

13 Lessons

Master the steps to effective recursion, including reduction, sorting, and element selection techniques.

4.

Backtracking

Backtracking

10 Lessons

10 Lessons

Enhance your skills in solving complex problems with recursive backtracking algorithms.

5.

Dynamic Programming

Dynamic Programming

11 Lessons

11 Lessons

Take a closer look at dynamic programming principles to solve complex problems efficiently.

6.

Greedy Algorithms

Greedy Algorithms

7 Lessons

7 Lessons

Follow the process of using greedy algorithms for optimal file storage, class scheduling, and encoding.

7.

Basic Graph Algorithms

Basic Graph Algorithms

9 Lessons

9 Lessons

Master the steps to understand, represent, search, and modify graphs, including practical Java applications.

8.

Depth-First Search

Depth-First Search

11 Lessons

11 Lessons

Learn how to use depth-first search for graph traversal, cycle detection, and connectivity.

9.

Minimum Spanning Trees

Minimum Spanning Trees

8 Lessons

8 Lessons

Grasp the fundamentals of minimum spanning trees, key algorithms, and their efficiency.

10.

Shortest Paths

Shortest Paths

10 Lessons

10 Lessons

Go hands-on with finding shortest paths in graphs using various algorithms.

11.

All-Pairs Shortest Paths

All-Pairs Shortest Paths

9 Lessons

9 Lessons

Grasp the fundamentals of algorithms to solve all-pairs shortest paths and handle negative cycles.
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Author NameMastering Algorithms for ProblemSolving in Java
Developed by MAANG Engineers
Every Educative lesson is designed by a team of ex-MAANG software engineers and PhD computer science educators, and developed in consultation with developers and data scientists working at Meta, Google, and more. Our mission is to get you hands-on with the necessary skills to stay ahead in a constantly changing industry. No video, no fluff. Just interactive, project-based learning with personalized feedback that adapts to your goals and experience.
ABOUT THIS COURSE
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, backtracking, dynamic programming, and greedy algorithms. You'll also learn about basic graph algorithms, depth-first search, shortest paths, minimum spanning trees, and all-pairs shortest paths. By the end of this course, you'll have acquired a wide range of skills that will significantly enhance your ability to solve problems efficiently in Java. Through this course, not only will you improve your coding skills, but you will also gain confidence in tackling complex problems.

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