Big Idea 3

Question 1

How are computers used when processing digital information to gain insight and knowledge?

Answer 1

Interactively and iteratively.

Question 2

How can computers help process information?

Answer 2

By filtering and cleaning digital information. This can be done through the use of search tools.

Question 3

What three things are apart of the process of using computers to process information?

Answer 3

Combining data sources, clustering data, and data classification.

Question 4

What may emerge when data is transformed using computational tools?

Answer 4

Patterns.

Question 5

What is a key component to solving data-driven problems and why?

Answer 5

Collaboration. It facilitates solving computational problems by applying multiple perspectives, experiences, and skill sets. Additionally, communication between participants working on data-driven problems gives rise to enhanced insights and knowledge.

Question 6

What four ways does collaboration come in handy?

Answer 6

Developing hypothesis and questions and in testing hypotheses and answering questions.

Question 7

What is another forms of collaboration?

Answer 7

Using online collaborative tools.

Question 8

How can you represent information about data? Give three examples.

Answer 8

Throdugh the use of visualization tools and software such as diagrams, tables, and textual displays.

Question 9

What is an effective way in communicating insight and knowledge gained from digitally represented information?

Answer 9

Summaries of data analyzed computationally.

Question 10

Why is it important to transform information by making it more interactive?

Answer 10

It can be effective in communicating knowledge gained from data.

Question 11

What do large data sets with the help of computing tools offer?

Answer 11

They provide opportunities and challenges for extracting information such as trends, connections between data, and solutions to problems.

Question 12

What are search tools for?

Answer 12

Finding information.

Question 13

What are information filtering systems important tools for?

Answer 13

Finding information and recognizing patterns in the information.

Question 14

What are spreadsheets and databases and why they helpful?

Answer 14

They are software tools and they help efficiently organize and find trends in information.

Question 15

What is metadata?

Answer 15

Data about data. Metadata can be descriptive data about an image, a web page, or other complex objects.

Question 16

How is the use of metadata effective?

Answer 16

Metadata can increase the effective use of data or data sets by providing additional information about various aspects of data.

Question 17

What kinds of things do large data sets contain?

Answer 17

Transactions, measurements, texts, sounds, images, and videos.

Question 18

What is challenging about maintaining large data sets?

Answer 18

The storing, processing, curating, structuring, and maintaining privacy.

Question 19

Why is scalability of systems an important consideration when data sets are large?

Answer 19

The size or scale of a system that stores data affects how the data set is used.

Question 20

What changes as the size of data sets scale?

Answer 20

Analytical techniques to store, manage, transmit, and process data sets.

Question 21

What trade-offs come along with digital data representation?

Answer 21

Issues related to storage, security, and privacy concerns.

Question 22

What do security concerns cause?

Answer 22

Trade-offs in storing and transmitting information

Question 23

What are the tradeoffs between using lossy and lossless compression techniques for storing and transmitting data?

Answer 23

Lossless data compression reduces the number of bits stored or transmitted but allows complete reconstruction of the original data. Lossy data compression can significantly reduce the number of bits stored or transmitted at the cost of being able to reconstruct illy an approximation of the original data.

Question 24

What does the choice of storage media affect?

Answer 24

The methods and costs of manipulating the data it contains.

Question 25

Does reading data and updating data have different storage requirements?

Answer 25

Yes.