ap exam big idea 3 data and information

Download Ap exam big idea 3 data and information

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L.O: STUDENTS WILL REVIEW BIG IDEA 3: DATA AND INFORMATIONDO NOW:READ PAGE 21-26

EK 3.1.1A Computers are used in an iterative and interactive way when processing digital information to gain insight and knowledge.

Computers are useful because of ITERATION; they can do things such as processing data over and over and over and over again. We learn things because of this ability of computers.

EK 3.1.1B Digital information can be filtered and cleaned by using computers to process information.

Computer can do all kinds of wonderful stuff to digital data!

EK 3.1.1C Combining data sources, clustering data, and data classification are part of the process of using computers to process information.

Computer can do all kinds of wonderful stuff to digital data!

EK 3.1.1D Insight and knowledge can be obtained from translating and transforming digitally represented information.

We can learn things when we study data processed by computers

EK 3.1.1E Patterns can emerge when data is transformed using computational tools.

According to these computer models, snowstorm is coming!

EK 3.1.2A Collaboration is an important part of solving data- driven problems.

2 heads are better than 1

EK 3.1.2B Collaboration facilitates solving computational problems by applying multiple perspectives, experiences, and skill sets.

EK 3.1.2C Communication between participants working on data-driven problems gives rise to enhanced insights and knowledge.

EK 3.1.2D Collaboration in developing hypotheses and questions, and in testing hypotheses and answering questions, about data helps participants gain insight and knowledge.

EK 3.1.2E Collaborating face-to-face and using online collaborative tools can facilitate processing information to gain insight and knowledge.

EK 3.1.2FInvestigating large data sets collaboratively can lead to insight and knowledge not obtained when working alone

This is a LARGE DATA SET ( a large amount of data). It means nothing to a human working alone, but using a computer , you can find out what it means, by turning it into graphs, tables, diagrams etc!

EK 3.1.3AVisualization tools and software can communicate information about data.

Computers and computing software can turn confusing and indecipherable into meaningful information that humans can understand!

EK 3.1.3BTables, diagrams, and textual displays can be used in communicating insight and knowledge gained from data

EK 3.1.3CSummaries of data analyzed computationally can be effective in communicating insight and knowledge gained from digitally represented information.

EK 3.1.3DTransforming information can be effective in communicating knowledge gained from data

EK 3.1.3EInteractivity with data is an aspect of communicating.

Computers turn data into information!

EK 3.2.1ALarge data sets provide opportunities and challenges for extracting information and knowledge.

EK 3.2.1BLarge data sets provide opportunities for identifying trends, making connections in data, and solving problems.

EK 3.2.1CComputing tools facilitate the discovery of connections in information within large data sets.

Computers turn ugly data into cute information!

EK 3.2.1DSearch tools are essential for efficiently finding information.

EK 3.2.1EInformation filtering systems are important tools for finding information and recognizing patterns in the information.

EK 3.2.1Software tools, including spreadsheets and databases, help to efficiently organize and find trends in information.

EK 3.2.1G Metadata is data about data.

The recording date of the dataMETADATA is information ABOUT the data:The time the data was recordedThe scanner the data was recordedThe number of columns of dataThe number of rows of data

The camera manufacturer and camera model used to record the data (picture) The author.(the photographer)The date & time the data (picture) wasgeneratedThe exposure time of the dataEK 3.2.1H Metadata can be descriptive data about an image, a Web page, or other complex objects.

EK 3.2.2ALarge data sets include data such as transactions, measurements, texts, sounds, images, and videos.

EK 3.2.2BThe storing, processing, and curating of large data sets is challenging.

We keep needing bigger and bigger memory flash drives to store evermore information!Some day, even 1 Terabyte wont have enough for an average person!

EK 3.2.2CStructuring large data sets for analysis can be challenging.

Oh my gosh! How can I organize this data so that it makes SENSE!

EK 3.2.2DMaintaining privacy of large data sets containing personal information can be challenging.

EK 3.2.2EScalability of systems is an important consideration when data sets are large.

EK 3.2.2GThe effective use of large data sets requires computational solutions.

EK 3.2.2HAnalytical techniques to store, manage, transmit, and process data sets change as the size of data sets scale.

EK 3.3.1ADigital data representations involve trade-offs related to storage, security, and privacy concerns.

EK 3.3.1BSecurity concerns engender trade-offs in storing and transmitting information.

I HOPE no one can see my info!I HOPE no one can see my info!I HOPE no one can see my info!

EK 3.3.1C There are trade-offs in using lossy and lossless compression techniques for storing and transmitting data.

EK 3.3.1D Lossless data compression reduces the number of bits stored or transmitted but allows complete reconstruction of the original data.

EK 3.3.1E Lossy data compression can significantly reduce the number of bits stored or transmitted at the cost of being able to reconstruct only an approximation of the original data.

EK 3.3.1FSecurity and privacy concerns arise with data containing personal information.

EK 3.3.1GData is stored in many formats depending on its characteristics (e.g., size and intended use).

EK 3.3.1HThe choice of storage media affects both the methods and costs of manipulating the data it contains.

EK 3.3.1I Reading data and updating data have different storage requirements.

Independent work:complete the data and information questions