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A Visual Introduction to Algorithms - Free AI-Powered Course
4.3
Beginner
14h
Updated 1 month ago
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.
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Overview
Content
Reviews
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 ...Show More
TAKEAWAY SKILLS
Python
Programming Language
Algorithms
Searching Algorithms
Content
61 Lessons2 Quizzes18 Challenges
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.
6.
Recursion Algorithms
11 Lessons
Focus on recursive algorithms, including factorials, palindromes, power calculations, and fractal geometry.
7.
Towers of Hanoi
4 Lessons
Practice using recursion to solve the Towers of Hanoi puzzle’s escalating challenges.
8.
Merge Sort
6 Lessons
Try out merge sort's efficient divide-and-conquer method for array sorting.
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.
Certificate of Completion
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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.
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