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Mastering Algorithms for Problem Solving in C++

Gain insights into essential algorithms, delve into recursion, backtracking, and graph theory, and enhance your problem-solving skills in C++ to confidently tackle complex challenges.

4.8
96 Lessons
28h
Updated 1 month ago
Also available in
C++
Java
Python
Also available in
C++C++
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 for complex tasks in C++
  • An understanding of applying memoization and dynamic programming concepts for efficient computation
  • Hands-on experience solving algorithmic challenges in C++

Learning Roadmap

96 Lessons10 Quizzes2 Assessments

2.

Introduction to Algorithm

Introduction to Algorithm

Look at fundamental concepts of algorithms, their historical development, design, and analysis.

3.

Recursion

Recursion

13 Lessons

13 Lessons

Break apart core recursion concepts with merge-sort, quick-sort, and efficient algorithms.

4.

Backtracking

Backtracking

10 Lessons

10 Lessons

Grasp the fundamentals of backtracking and its applications in problem-solving using C++.

5.

Dynamic Programming

Dynamic Programming

11 Lessons

11 Lessons

Map out the steps for solving complex problems using dynamic programming techniques.

6.

Greedy Algorithms

Greedy Algorithms

7 Lessons

7 Lessons

Focus on greedy algorithms to optimize file storage, scheduling, encoding, matching, and book arrangement.

7.

Basic Graph Algorithms

Basic Graph Algorithms

9 Lessons

9 Lessons

Master algorithms to traverse, represent, and solve problems using diverse graph structures.

8.

Depth-First Search

Depth-First Search

11 Lessons

11 Lessons

Get familiar with depth-first search, including traversal, cycle detection, and strong connectivity in graphs.

9.

Minimum Spanning Trees

Minimum Spanning Trees

8 Lessons

8 Lessons

Get started with algorithms for constructing and updating minimum spanning trees in graphs.

10.

Shortest Paths

Shortest Paths

10 Lessons

10 Lessons

Examine shortest path algorithms in weighted graphs, including BFS, DFS, Dijkstra’s, and Bellman-Ford.

11.

All-Pairs Shortest Paths

All-Pairs Shortest Paths

9 Lessons

9 Lessons

Enhance your skills in computing all-pairs shortest paths using various algorithms and techniques.
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Author NameMastering Algorithms for ProblemSolving in C++
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 C++. 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 C++. 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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