BINARY
LOSSY VS. LOSSLESS
OVERFLOW VS. ROUNDING
INTELLECTUAL
PROPERTY
IMAGES
100

This is how binary is represented on a computer.

0's & 1's

100

This type of compression is reversible and loses no information.

Lossless

100

This error happens when your computer/program can only handle a certain amount of data.

Overflow Error

100

This type of law prohibits people from stealing someone's intellectual property.

Copyright Law

100

A real painting is this type of data.

Analog Data

200

This is 100 in binary.

1100100

200

This type of compression is not reversible and will result in data loss.

Lossy

200

This error is made by the computer presets and might cause calculations to be off.

Rounding Error

200

This system allows the public to establish rules for their intellectual property.

Creative Commons

200

A screensaver on a computer is this type of data.

Digital Data

300

How many number can you represent with 8 bits?

256

300

This is the type of compression you would use if sending student transcripts over the internet.

Lossless

300

How many bits would you need to assign 36 students individual seat numbers?

6 bits

300

This is what happens when you refuse to cite original work.

Plagiarism

300

This color is signified by a 1.

White/Light On

400
This is 10101 in binary.

21

400

This is why we use any compression method.

Data Size Reduction / Smaller File Size

400

1/3 would result in this type of error.

Rounding Error

400

This type of work is available for all people to use. (_____ Source)

Open Source

400

This is the type of values used for colors on computers.

RGB Values / Hexadecimal

500

This is the base for hexadecimal.

Base - 16

500

This type of compression might occur for a 4k image when sending it over e-mail.  

Lossy

500

If you only have 4 bits, what is the first value that would incur and overflow error.  

16

500

Creative work will eventually enter this type of domain.

Public Domain

500
To increase detail in an image means to increase ...

Sampling