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A Visual Introduction to Algorithms

Explore introductory algorithms in computer science, covering searching, sorting, recursion, and graph theory, with visualizations, quizzes, and coding challenges in Java, Python, C++, or Javascript.

4.6
61 Lessons
14h
Updated 1 month ago
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Learning Roadmap

61 Lessons2 Quizzes18 Challenges

1.

Intro to Algorithms

Intro to Algorithms

Get familiar with the significance of algorithms, comparing search methods, and solving route-finding problems.

2.

Binary Search

Binary Search

Get started with the efficiency and implementation of binary search in sorted arrays.

3.

Asymptotic Analysis

Asymptotic Analysis

6 Lessons

6 Lessons

Examine asymptotic notation, big-Θ, big-O, and big-Ω for analyzing algorithm performance.

4.

Selection Sort

Selection Sort

6 Lessons

6 Lessons

Grasp the fundamentals of selection sort, its implementation challenges, and performance analysis.

5.

Insertion Sort

Insertion Sort

5 Lessons

5 Lessons

Solve problems in implementing and understanding insertion sort for efficient array sorting.

6.

Recursion Algorithms

Recursion Algorithms

11 Lessons

11 Lessons

Focus on recursive algorithms, including factorials, palindromes, power calculations, and fractal geometry.

7.

Towers of Hanoi

Towers of Hanoi

4 Lessons

4 Lessons

Practice using recursion to solve the Towers of Hanoi puzzle’s escalating challenges.

8.

Merge Sort

Merge Sort

6 Lessons

6 Lessons

Try out merge sort's efficient divide-and-conquer method for array sorting.

9.

Quick Sort

Quick Sort

5 Lessons

5 Lessons

Unpack the core of Quicksort: a recursive algorithm via divide-and-conquer for efficient sorting.

10.

Graphs

Graphs

3 Lessons

3 Lessons

Examine the structure, representation, and practical storage methods for graphs, using various data structures.

11.

Breadth-first Search

Breadth-first Search

4 Lessons

4 Lessons

Break down the steps to implement and analyze the breadth-first search algorithm in graphs.

12.

License

License

2 Lessons

2 Lessons

Deepen your knowledge of the porting process of a renowned algorithms course.
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Author NameA Visual Introduction toAlgorithms

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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
Learn introductory computer science algorithms, including searching, sorting, recursion, and graph theory through a combination of articles, visualizations, quizzes, and coding challenges. Implement Challenges in Java, Python, C++ or Javascript.

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Frequently Asked Questions

What topics does this course cover?

The course covers basic algorithms, including searching, sorting, recursion, and graph theory.

What makes this course unique?

It uses visualizations, quizzes, and coding challenges to teach algorithms interactively.

What programming languages are supported in the coding challenges?

You can implement challenges in Java, Python, C++, or JavaScript.

What learning methods are used in the course?

The course includes articles, visual aids, quizzes, and coding exercises to enhance understanding.

Which type of visualizations are used?

The course uses interactive visualizations to demonstrate how algorithms work step-by-step.

How will this course help me with problem-solving?

The visual approach helps clarify abstract algorithmic concepts, enhancing your problem-solving ability using various methods.