Learn How to Code
  • Welcome
  • Foundations
    • Introduction
      • Becoming a web developer
      • Motivation and mindset
      • Join a supportive community
      • How does the web work?
    • Requirements
      • Prerequisites
      • Text editors
      • Command line basics
      • Setting up Git
      • Setting up Node
    • Git
      • Git basics
      • Project: Practicing Git
    • Frontend
      • HTML and CSS
      • Developer Tools
      • Project: Create a web page
    • JavaScript
      • Strings and Conditionals
      • Using Developer Tools
      • Functions
      • Problem solving
      • Project: Rock paper scissors
      • Writing clean code
      • Arrays and Loops
      • The DOM
      • Project: Etch-A-Sketch
      • Objects and More Arrays
      • Project: Calculator
    • Backend
      • Frameworks
    • Next steps
  • Deep dives
    • Computer Science
      • Pseudocode and algorithms
      • Recursion and algorithms
        • Project: Fibs and sorting
        • More on algorithms
        • Big O
        • Project: Practicing Big O
      • Data structures
        • Maps, Stacks and Queues
        • Project: Stacks and Queues
        • Nodes, Linked Lists and Trees
        • Project: Linked Lists
        • Project: Trees
        • Next steps
    • Databases
      • Databases and SQL
      • Project: SQL Zoo
    • Design / UX
      • Fonts and typography
      • Grids
      • Project: Teardown
      • Responsive design
      • Project: Mobile friendly
      • CSS frameworks
      • Project: Bootstrapping
    • HTML / CSS
      • HTML Basics
        • Linking
        • Images and media
        • Project: Embedding media
        • HTML5
        • Tables
        • Lists
        • Forms
        • Project: Make a form
      • CSS Basics
        • Box model
        • Floats and positioning
        • Flexbox
        • Grids
        • Project: Breaking news
        • Best practices
        • Backgrounds and gradients
        • Project: One more thing
        • CSS3
        • Preprocessors
        • Project: Your own framework
      • Next steps
    • JavaScript
      • Refresher
      • Organization
      • Objects and constructors
      • Project: Library
      • Factory functions and module patterns
      • Project: Tic Tac Toe
      • Classes
      • ES6 Modules
      • Project: Restaurant
      • Object Oriented Programming
      • Project: Todo list
      • Linting
      • Menus and sliders
      • Forms
      • ES6 features
      • JSON
      • Callbacks and promises
      • Using APIs
      • Async and Await
      • Project: Weather
      • Testing
      • Project: Testing 1-2-3
      • Advanced Testing
      • Project: Battleship
      • Backends
      • Project: Where's Waldo?
      • Project: All-Star
      • Next steps
    • NodeJS
      • Project: Going to school
      • Project: Passing the test
      • Express
        • Templates and middleware
        • CRUD and MVC
        • Project: Message board
        • Routes
        • Displaying data
        • Forms and deployment
        • Project: Inventory
      • Authentication
      • Security
      • Project: Clubhouse
      • APIs
      • Securing an API
      • Project: Blog
      • Testing
      • Testing with a database
      • Project: Social network
    • React
      • Props and State
      • Render lists and handle inputs
      • Project: CV
      • Lifecycle methods
      • Hooks
      • Project: Memory card
      • Router
      • Project: Shopping cart
      • Advanced concepts
    • Ruby
      • Installation
      • Data types
      • Variables
      • Input and Output
      • Conditionals
      • Loops
      • Arrays
      • Hashes
      • Methods
      • Enumerables
      • More enumerables
      • Nested collections
      • Blocks
      • Pattern matching
      • Debugging
      • Project: Caesar cipher
      • Project: Substrings
      • Project: Stock picker
      • Project: Bubble sort
      • Object oriented programming
      • Project: Tic Tac Toe
      • Project: Mastermind
      • Serialization
      • Project: Event manager
      • Project: Hangman
      • Computer Science
        • Recursion
        • Project: Merge Sort
        • Data structures and algorithms
        • Project: Linked Lists
        • Project: Binary Search Trees
        • Project: Knight Travails
      • Testing
      • RSpec
      • Project: Four in a row
      • Git
      • Project: Open Source
      • Project: Chess
      • Next steps
    • Ruby on Rails
      • Using Heroku
      • Installing Rails
      • Basics
        • Routing
        • Controllers
        • Views
        • Asset pipeline
        • Deployment
        • Project: Blog
      • Active Record
        • Project: Upvote
      • Forms
        • Cookies, sessions, and authentication
        • Project: Password
      • Advanced forms and Active Record
        • Associations
        • Project: Private Events
        • Callbacks
        • Menus, helpers and nested forms
        • Project: Ticket agent
      • APIs
        • External APIs
        • Project: Animals
        • Project: Photo widget
      • Mailers
        • Project: Confirmation
      • Advanced topics
        • Action Cable
      • Project: Social network
      • Next steps
  • Getting hired
    • Preparing to find a job
      • Plan a strategy
      • What companies want
      • Get yourself together
      • How to prepare
      • Project: Make your website
    • Applying and interviewing
      • Qualifying leads
      • Project: Make your resume
      • Applying for jobs
      • Preparing for an interview
      • Handling an offer
      • Final words
  • Maintained by
    • wbnns
  • License
    • CC BY-NC-SA 4.0 © 2022
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On this page
  • Getting started
  • Prerequisites
  • How this course will work
  • Assignment
  1. Deep dives

Computer Science

Learn everything you need to know in order to have a good grasp on the fundamentals of Computer Science.

Getting started

This course is not about teaching you the ins and outs of a language, although you will be doing some coding for some of the exercises in this course. Instead, what this course is about is teaching you some concepts that you will be taking with you into almost any language you choose to learn.

Computer Science itself is an extremely broad subject concerning everything from hardware to the very low level, bare metal of how software works. This course will not cover all of it; only a small chunk of the subject of writing code and understanding some of the lingo that Computer Scientists/Programmers love to throw around. Specifically, we will be covering the following subjects in considerable detail:

  • Pseudo-code and what Algorithms are

  • Recursion, it's benefits and it's pitfalls

  • Iteration vs Recursion

  • Specific, commonly mentioned algorithms

  • Time and Space Complexity, and Big O.

  • Commonly used data structures, and how to make them

  • A more general idea of data structures

Prerequisites

Before taking on this course, you should have some knowledge of the basics of at least one programming language. If you don't, check out this site's courses on Javascript and Ruby. You don't have to know their entire course matter to do this course; but knowing about functions and objects and how to use them is strongly encouraged. Although also not necessary, a basic understanding of mathematics (indices and logarithms) will also help you follow what's going on when we get to talking Time and Space Complexity!

How this course will work

The next lesson will discuss a concept called pseudo-code; with an example. Most "coding" examples demonstrated in this course will be making use of pseudo-code, so you will be writing down some pseudo-code of your own; or following on by implementing said pseudo-code in a language of your choice. The project work and assignment exercises in this course will be in the language of your choice.

Assignment

  1. Brush up on your maths, and understand what factorials, indices and logarithms are.

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Last updated 4 years ago

If you haven't already learned the basics of a language, do so. Consider or .

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