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

Updated 3 months ago

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

This course includes

11 Playgrounds

18 Challenges

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.

TAKEAWAY SKILLS

Python

Programming Language

Algorithms

Searching Algorithms

Course Content

Intro to Algorithms

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

What is an algorithm and why should you care?A Guessing Game Route-finding

Binary Search

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

Binary Search Implementing Binary Search of an Array Challenge: Binary Search Running Time of Binary Search Quiz: Running time of binary search

Asymptotic Analysis

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

Introduction to Asymptotic notation Big-θ (Big-Theta) notation Functions in Asymptotic Notation Big-O notation Big-Ω (Big-Omega) notation Quiz: Asymptotic notation

Selection Sort

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

Sorting Challenge: Implement Swap Selection Sort Pseudocode Challenge: Find minimum in Subarray Challenge: Implement Selection Sort Analysis of Selection Sort

Insertion Sort

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

Insertion Sort Challenge: Insert a Value Before an Index in Sorted Order Insertion Sort pseudocode Challenge: Implement Insertion Sort Analysis of Insertion Sort

Recursion Algorithms

11 Lessons

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

Towers of Hanoi

4 Lessons

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

Merge Sort

6 Lessons

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

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 Lesson

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

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