Software Engineering Fundamentals
Learn how professional software is designed and built — object-oriented thinking, data structures, algorithmic thinking, version control, and testing.
1
units
11
lessons
22
practice questions
~165
minutes
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What you'll be able to do
Explain the core ideas behind object-oriented programming
Recognize when to use common data structures
Reason about an algorithm's efficiency
Use Git for version control
Write and think about tests as part of building software
How it works
Read it, see it, practise it
Each lesson explains one topic clearly, shows worked examples, checks your understanding with quick questions and ends with a practical task you complete yourself.
Clear explanations
Step-by-step lessons in plain language
36 in this course
Worked examples
Real code and examples you can copy and run
32 in this course
Quick checks
Test your understanding as you go
13 in this course
Fill the blank
Recall the key commands and syntax
11 in this course
Hands-on workspace
A practical task at the end of every lesson
11 in this course
Syllabus
Everything you'll encounter
What is Software Engineering?
Software engineering is programming plus everything needed to keep that code working reliably as it grows, changes, and gets used by real people.
Object-Oriented Programming Basics
A class is a blueprint for creating objects that bundle related data and behavior together.
Data Structures: Choosing the Right Container
Arrays, stacks, and queues all store collections of values — the difference is HOW you add and remove items, which matters a lot for certain problems.
Algorithms & a Gentle Intro to Big O
An algorithm is just a step-by-step method for solving a problem — Big O is a rough way to describe how its running time grows as the input gets bigger.
Version Control with Git
Git tracks every change to your code over time, letting you experiment safely, collaborate without overwriting each other's work, and roll back mistakes.
Testing & Debugging Basics
A test is code that checks your OTHER code actually does what you think it does — catching mistakes automatically, before a real user finds them.
Design Patterns: Singleton and Factory
A design pattern isn't a library you install — it's a proven, reusable solution SHAPE to a problem that keeps coming up, with its own name so engineers can talk about it in one word.
SOLID Principles: Five Habits for Code That's Easy to Change
SOLID is five separate ideas that all point at the same goal: making it possible to change or extend code later WITHOUT rewriting everything else that depends on it.
Code Review: Why Another Set of Eyes Matters
A code review is simply another developer reading your code before it joins the project — catching bugs, confusing logic, and missed edge cases while they're still cheap to fix.
Agile and Scrum: How Teams Organize the Work
Agile is a mindset about building software in short, frequent feedback loops instead of one giant plan — Scrum is one popular, concrete way of actually running that mindset day to day.
Continuous Integration: Catching Problems Automatically, Every Time
CI means every change gets automatically built and tested the moment it's pushed — so broken code gets flagged in minutes, not discovered days later.
Finish the course, earn a verifiable certificate
Complete every lesson to receive a Learnix certificate with a unique number anyone can verify online.