Home>Courses>A Visual Introduction to Algorithms

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.

Beginner

61 Lessons

14h

Certificate of Completion

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.
AI-POWERED

Explanations

AI-POWERED

Explanations

This course includes

11 Playgrounds
18 Challenges
Course Overview
Course Content

Course Overview

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.
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.

TAKEAWAY SKILLS

Python

Programming Language

Algorithms

Searching Algorithms

Course Content

1.

Intro to Algorithms

3 Lessons

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

2.

Binary Search

5 Lessons

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

3.

Asymptotic Analysis

6 Lessons

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

4.

Selection Sort

6 Lessons

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

5.

Insertion Sort

5 Lessons

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

7.

Towers of Hanoi

4 Lessons

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

9.

Quick Sort

5 Lessons

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

10.

Graphs

3 Lessons

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

11.

Breadth-first Search

4 Lessons

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

12.

License

2 Lessons

Deepen your knowledge of the porting process of a renowned algorithms course.

13.

Non-comparison based sorting algorithms

1 Lessons

Focus on non-comparison-based sorting with counting sort methodology and efficiency.

Show License and Attributions

Trusted by 2.5 million developers working at companies

Hands-on Learning Powered by AI

See how Educative uses AI to make your learning more immersive than ever before.

Instant Code Feedback

Evaluate and debug your code with the click of a button. Get real-time feedback on test cases, including time and space complexity of your solutions.

AI-Powered Mock Interviews

Adaptive Learning

Explain with AI

AI Code Mentor

Free Resources

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?

What programming languages are supported in the coding challenges?

What learning methods are used in the course?

Which type of visualizations are used?

How will this course help me with problem-solving?