Computer Science Basics
Artificial Intelligence (AI)
How AI Learns
Data & Decision-Making
Coding & Programming
100

What is Computer Science mainly about?

How computers solve problems using logical steps

100

What does “AI” stand for?

Artificial Intelligence

100

What is the “fuel” that helps AI learn?

Data

100

Why is data compared to fuel for AI?

Because AI needs data to run and learn — like a car needs fuel

100

What is coding?

Writing step-by-step instructions that tell a computer what to do

200

What happens if you give a computer unclear instructions?

It does something unexpected or wrong

200

How is AI different from a normal computer program?

AI can learn or improve using data instead of only following fixed steps

200

What are the three steps AI takes to learn something new?

Look at data → Find patterns → Make guesses

200

Name one type of data AI can learn from.

Photos, text, weather info, etc.

200

What’s one way coding is like following a recipe?

Both use clear, ordered steps to reach a result

300

What are the three main parts of problem solving with computers?

You write instructions → Computer follows → Problem solved!

300

Name two examples of AI you use every day.

Siri, Netflix, YouTube, Google, etc.

300

Why does AI sometimes confuse a muffin with a puppy?

Because patterns can be tricky and data isn’t always perfect

300

What is the first thing AI does when making a decision?

Looks at data

300

What is a programming language, and name one example.

A language used to communicate with computers — examples: Python, Java, etc.

400

Why do programmers need to be very specific when coding?

Computers only do exactly what they’re told

400

Why is AI compared to a student learning new tricks?

It practices and improves through examples — like a student studying

400

What’s the difference between Artificial Intelligence (AI) and Machine Learning (ML)?

AI is the idea of computers acting smart and making decisions like humans while ML is how those computers learn — by studying patterns and improving from data.

400

What is the second step in AI decision-making?

Finds patterns and similarities in data

400

In Python, what does this line of code do?

print("Hello, AI!")


It tells the computer to display the message “Hello, AI!” on the screen

500

Give an example of a real-world problem that Computer Science helps solve.

E.g., mapping apps finding shortest routes, medical data analysis

500

What is one limitation of AI today?

It can make mistakes, can’t think emotionally, depends on human data

500

What might happen if AI is trained on biased or low-quality data?

It may make unfair or inaccurate decisions

500

Why do humans still need to check AI’s work?

AI can make mistakes or misunderstand patterns

500

Why is it important to debug code?

Debugging finds and fixes mistakes so the program runs correctly — computers only do what you tell them!

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