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⇱ C++: Algorithms | Coursera


C++: Algorithms

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C++: Algorithms

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Gain insight into a topic and learn the fundamentals.
4.6

12 reviews

Intermediate level

Recommended experience

1 week to complete
at 10 hours a week

Gain insight into a topic and learn the fundamentals.
4.6

12 reviews

Intermediate level

Recommended experience

1 week to complete
at 10 hours a week

What you'll learn

  • The course introduces learners to quantifying the time and space complexities of algorithms.

  • The course introduces learners to common algorithm design techniques like recursion, greedy algorithms, dynamic programming, etc.

  • The course introduces learners to searching algorithms (both simple and complicated) and several sorting algorithms.

Details to know

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Taught in English
Flexible schedule
Learn at your own pace

Build your subject-matter expertise

This course is part of the C++: Data Structures and Algorithms Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
  • Learn new concepts from industry experts
  • Gain a foundational understanding of a subject or tool
  • Develop job-relevant skills with hands-on projects
  • Earn a shareable career certificate

There are 3 modules in this course

Code and run your first C++ program about algorithms in minutes without installing anything!

This course is designed for learners familiar with C++ basics and object-oriented programming. It provides a solid foundation of not just C++, but core data structures and algorithms topics that can be transferred to other languages. The modules in this course cover an introduction to data structures and algorithms, measuring complexity (space and time), algorithm design techniques, and some commonly used algorithms for searching and sorting. To allow for a truly hands-on, self-paced learning experience, this course is video-free. Assignments contain short explanations with images and runnable code examples with suggested edits to explore code examples further, building a deeper understanding by doing. You'll benefit from instant feedback from a variety of assessment items along the way, gently progressing from quick understanding checks (multiple choice, fill in the blank, and un-scrambling code blocks) to small, approachable coding exercises that take minutes instead of hours.

Welcome to Week 1 of the Algorithms course. You will learn about how to evaluate algorithms with relation to their time and space complexities.

What's included

6 readings5 app items

6 readingsβ€’Total 10 minutes
  • Navigating Codio Assignmentsβ€’5 minutes
  • Introduction to Data Structures & Algorithms Lesson Notes (Optional Download)β€’0 minutes
  • Introduction to Algorithm Analysis (Time and Space Complexity) Lesson Notes (Optional Download)β€’0 minutes
  • Codio: Big O, Big Theta, Big Omega Lesson Notes (Optional Download)β€’0 minutes
  • Space Complexity Analysis with Examples Lesson Notes (Optional Download)β€’0 minutes
  • How to Reset an Assignment in Codioβ€’5 minutes
5 app itemsβ€’Total 240 minutes
  • Codio: Introduction to Data Structures & Algorithmsβ€’45 minutes
  • Codio: Introduction to Algorithm Analysis (Time and Space Complexity)β€’45 minutes
  • Codio: Big O, Big Theta, Big Omegaβ€’45 minutes
  • Codio: Space Complexity Analysis with Examplesβ€’45 minutes
  • Codio: Introduction to Algorithms and Complexity Analysis Coding Exercisesβ€’60 minutes

Welcome to Week 2 of the Algorithms course. You will learn about different techniques used by algorithms when trying to solve problems.

What's included

5 readings6 app items

5 readings
  • Recursion Lesson Notes (Optional Download)β€’0 minutes
  • Divide and Conquer Lesson Notes (Optional Download)β€’0 minutes
  • Analysis of Recursive Algorithms Lesson Notes (Optional Download)β€’0 minutes
  • Greedy Algorithms Lesson Notes (Optional Download)β€’0 minutes
  • Dynamic Programming Lesson Notes (Optional Download)β€’0 minutes
6 app itemsβ€’Total 285 minutes
  • Codio: Recursionβ€’45 minutes
  • Codio: Divide and Conquerβ€’45 minutes
  • Codio: Analysis of Recursive Algorithmsβ€’45 minutes
  • Codio: Greedy Algorithmsβ€’45 minutes
  • Codio: Dynamic Programmingβ€’45 minutes
  • Codio: Algorithm Design Techniques Coding Exercisesβ€’60 minutes

Welcome to Week 3 of the Algorithms course. You will learn about algorithms used to search and sort data structures.

What's included

4 readings5 app items

4 readings
  • Simple Sorting Algorithms Lesson Notes (Optional Download)β€’0 minutes
  • Advanced Sorting Algorithms Lesson Notes (Optional Download)β€’0 minutes
  • Searching Algorithms Lesson Notes (Optional Download)β€’0 minutes
  • Wordle Solver Lesson Notes (Optional Download)β€’0 minutes
5 app itemsβ€’Total 240 minutes
  • Codio: Simple Sorting Algorithmsβ€’45 minutes
  • Codio: Advanced Sorting Algorithmsβ€’45 minutes
  • Codio: Searching Algorithmsβ€’45 minutes
  • Codio: Wordle Solverβ€’45 minutes
  • Codio: Simple Sorting Algorithms Coding Exercisesβ€’60 minutes

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Instructor

Codio
30 Coursesβ€’116,315 learners

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Showing 3 of 12

HG
Β·

Reviewed on Jan 11, 2026

well explained course and thematic of the exercises was really well designed

MA
Β·

Reviewed on Jul 29, 2025

if you add videos in this course the course is next level for every one notes are really good

SD
Β·

Reviewed on Nov 10, 2025

Excellent. Let me explore more to evaluate correctly.

Frequently asked questions

To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.

When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.

Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.

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