The course covers basic algorithms, including searching, sorting, recursion, and graph theory.
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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
Join 2.9 million developers at
Join 2.9 million developers at
Learning Roadmap
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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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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Anthony Walker
@_webarchitect_
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Evan Dunbar
ML Engineer
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Software Developer
Carlos Matias La Borde
S
Souvik Kundu
Front-end Developer
V
Vinay Krishnaiah
Software Developer
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