Fundamentals of Computer Science 1 & 2 Online Courses

Fundamentals of Computer Science 1 & 2 provides a comprehensive introduction to the field of computer science. The course begins with a language-independent approach to teaching programming concepts and problem-solving skills, without assuming any previous programming experience. By using easy-to-understand pseudocode, flowcharts, and other tools, students learn how to design the logic of programs without the complication of language syntax. The second level of the course introduces the Python language to reinforce and apply programming skills.

Other topics covered in the course include:

Data types and variables
Input and output
Control structures
Arrays and algorithms
GUI and object-oriented concepts

Students are also introduced to various career pathways in the field of computer science along with the skills to make them successful in the workplace.

➤ Learn more: Fundamentals of Computer Science Course Guide

Fundamentals of Computer Science Course Content

The following topics are covered in course content:

Fundamentals of Computer Science 1

Digital Identity & Foundations
Communication in Computing
Communication and Problem Solving in Computer Science
Speaking Binary: How Computers Understand Data
Coding Languages and HTML Foundations
Building Interactive Web Pages with HTML and CSS
Programming Basics and Planning
Constants, Tracing, and Calculations
Calculations and Decisions in Code
Strings, Logic, and Conditional Thinking
Loops in Programming
Organizing Programs with Functions and Scope
Functions, Input Validation, and Defensive Coding
Arrays and Graphical Interfaces
Designing for Users and Planning for the Future in Computer Science
Java, Logic, and Digital Privacy
Java and C++ with Validation, Arrays, and Objects
C++ Loops, Methods, and Objects

Fundamentals of Computer Science 2

Computer Science Systems and Careers
Communication, Collaboration, and Planning
Ethics and Encoding: Getting Started with Data in Computing
Programming Languages and Python Foundations
Drawing, Input, and Variables with Python
Strings, Formatting, and Input in Python
Math, Logic, and Problem-Solving Foundations
Designing, Planning, and Documenting Code
Putting It All Together: From Design to Decision Structures
Conditional Logic and String Basics
Control and Manipulation in Python Loops and Lists
Working with Lists and Fixing Errors
Avoiding Mistakes and Starting with Functions
Modular Code: Creating and Using Functions
Advanced Functions and the Path to OOP
OOP in Practice and Digital Responsibility
Digital Citizenship in a Connected World

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