Computer Science Standards
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Showing 1 - 5 of 5 Standards
Standard Identifier: K-2.DA.7
Grade Range:
K–2
Concept:
Data & Analysis
Subconcept:
Storage
Practice(s):
Developing and Using Abstractions (4.2)
Standard:
Store, copy, search, retrieve, modify, and delete information using a computing device, and define the information stored as data.
Descriptive Statement:
Information from the real world can be stored and processed by a computing device. When stored on a computing device, it is referred to as data. Data can include images, text documents, audio files, and video files. Students store, copy, search, retrieve, modify, and delete information using a computing device and define the information stored as data. For example, students could produce a story using a computing device, storing it locally or remotely (e.g., in the cloud). They could then make a copy of the story for peer revision and editing. When the final copy of the story is complete, students delete any unnecessary files. They search for and retrieve data from a local or remote source, depending on where it was stored. (CA CCSS for ELA/Literacy W.K.6, W.K.5, W1.6, W.1.5, W.2.6, W.2.5) Alternatively, students could record their voices singing an age-appropriate song. They could store the data on a computing device, search for peers' audio files, retrieve their own files, and delete unnecesary takes. (VAPA Music K.2.2, 1.2.2, 2.2.2)
Store, copy, search, retrieve, modify, and delete information using a computing device, and define the information stored as data.
Descriptive Statement:
Information from the real world can be stored and processed by a computing device. When stored on a computing device, it is referred to as data. Data can include images, text documents, audio files, and video files. Students store, copy, search, retrieve, modify, and delete information using a computing device and define the information stored as data. For example, students could produce a story using a computing device, storing it locally or remotely (e.g., in the cloud). They could then make a copy of the story for peer revision and editing. When the final copy of the story is complete, students delete any unnecessary files. They search for and retrieve data from a local or remote source, depending on where it was stored. (CA CCSS for ELA/Literacy W.K.6, W.K.5, W1.6, W.1.5, W.2.6, W.2.5) Alternatively, students could record their voices singing an age-appropriate song. They could store the data on a computing device, search for peers' audio files, retrieve their own files, and delete unnecesary takes. (VAPA Music K.2.2, 1.2.2, 2.2.2)
Standard Identifier: 3-5.DA.7
Grade Range:
3–5
Concept:
Data & Analysis
Subconcept:
Storage
Practice(s):
Developing and Using Abstractions (4.2)
Standard:
Explain that the amount of space required to store data differs based on the type of data and/or level of detail.
Descriptive Statement:
All saved data requires space to store it, whether locally or not (e.g., on the cloud). Music, images, video, and text require different amounts of storage. Video will often require more storage and different format than music or images alone because video combines both. The level of detail represented by that data also affects storage requirements. For instance, two pictures of the same object can require different amounts of storage based upon their resolution, and a high-resolution photo could require more storage than a low-resolution video. Students select appropriate storage for their data. For example, students could create an image using a standard drawing app. They could save the image in different formats (e.g., .png, .jpg, .pdf) and compare file sizes. They should also notice that different file sizes can result in differences in quality or resolution (e.g., some pictures could be more pixelated while some could be sharper). Alternatively, in an unplugged activity, students could represent images by coloring in squares within a large grid. They could model how a larger grid requires more storage but also represents a clearer image (i.e., higher resolution).
Explain that the amount of space required to store data differs based on the type of data and/or level of detail.
Descriptive Statement:
All saved data requires space to store it, whether locally or not (e.g., on the cloud). Music, images, video, and text require different amounts of storage. Video will often require more storage and different format than music or images alone because video combines both. The level of detail represented by that data also affects storage requirements. For instance, two pictures of the same object can require different amounts of storage based upon their resolution, and a high-resolution photo could require more storage than a low-resolution video. Students select appropriate storage for their data. For example, students could create an image using a standard drawing app. They could save the image in different formats (e.g., .png, .jpg, .pdf) and compare file sizes. They should also notice that different file sizes can result in differences in quality or resolution (e.g., some pictures could be more pixelated while some could be sharper). Alternatively, in an unplugged activity, students could represent images by coloring in squares within a large grid. They could model how a larger grid requires more storage but also represents a clearer image (i.e., higher resolution).
Standard Identifier: 6-8.DA.7
Grade Range:
6–8
Concept:
Data & Analysis
Subconcept:
Storage
Practice(s):
Developing and Using Abstractions (4.4)
Standard:
Represent data in multiple ways.
Descriptive Statement:
Computers store data as sequences of 0s and 1s (bits). Software translates to and from this low-level representation to higher levels that are understandable by people. Furthermore, higher level data can be represented in multiple ways, such as the digital display of a color and its corresponding numeric RGB value, or a bar graph, a pie chart, and table representation of the same data in a spreadsheet. For example, students could use a color picker to explore the correspondence between the digital display or name of a color (high-level representations) and its RGB value or hex code (low-level representation). Alternatively, students could translate a word (high-level representation) into Morse code or its corresponding sequence of ASCII codes (low-level representation).
Represent data in multiple ways.
Descriptive Statement:
Computers store data as sequences of 0s and 1s (bits). Software translates to and from this low-level representation to higher levels that are understandable by people. Furthermore, higher level data can be represented in multiple ways, such as the digital display of a color and its corresponding numeric RGB value, or a bar graph, a pie chart, and table representation of the same data in a spreadsheet. For example, students could use a color picker to explore the correspondence between the digital display or name of a color (high-level representations) and its RGB value or hex code (low-level representation). Alternatively, students could translate a word (high-level representation) into Morse code or its corresponding sequence of ASCII codes (low-level representation).
Standard Identifier: 9-12.DA.8
Grade Range:
9–12
Concept:
Data & Analysis
Subconcept:
Storage
Practice(s):
Developing and Using Abstractions (4.1)
Standard:
Translate between different representations of data abstractions of real-world phenomena, such as characters, numbers, and images.
Descriptive Statement:
Computers represent complex real-world concepts such as characters, numbers, and images through various abstractions. Students translate between these different levels of data representations. For example, students could convert an HTML (Hyper Text Markup Language) tag for red font into RGB (Red Green Blue), HEX (Hexadecimal Color Code), HSL (Hue Saturation Lightness), RGBA( Red Green Blue Alpha), or HSLA (Hue Saturation Lightness and Alpha) representations. Alternatively, students could convert the standard representation of a character such as ! into ASCII or Unicode.
Translate between different representations of data abstractions of real-world phenomena, such as characters, numbers, and images.
Descriptive Statement:
Computers represent complex real-world concepts such as characters, numbers, and images through various abstractions. Students translate between these different levels of data representations. For example, students could convert an HTML (Hyper Text Markup Language) tag for red font into RGB (Red Green Blue), HEX (Hexadecimal Color Code), HSL (Hue Saturation Lightness), RGBA( Red Green Blue Alpha), or HSLA (Hue Saturation Lightness and Alpha) representations. Alternatively, students could convert the standard representation of a character such as ! into ASCII or Unicode.
Standard Identifier: 9-12.DA.9
Grade Range:
9–12
Concept:
Data & Analysis
Subconcept:
Storage
Practice(s):
Recognizing and Defining Computational Problems (3.3)
Standard:
Describe tradeoffs associated with how data elements are organized and stored.
Descriptive Statement:
People make choices about how data elements are organized and where data is stored. These choices affect cost, speed, reliability, accessibility, privacy, and integrity. Students describe implications for a given data organziation or storage choice in light of a specific problem. For example, students might consider the cost, speed, reliability, accessibility, privacy, and integrity tradeoffs between storing photo data on a mobile device versus in the cloud. Alternatively, students might compare the tradeoffs between file size and image quality of various image file formats and how choice of format may be infuenced by the device on which it is to be accessed (e.g., smartphone, computer).
Describe tradeoffs associated with how data elements are organized and stored.
Descriptive Statement:
People make choices about how data elements are organized and where data is stored. These choices affect cost, speed, reliability, accessibility, privacy, and integrity. Students describe implications for a given data organziation or storage choice in light of a specific problem. For example, students might consider the cost, speed, reliability, accessibility, privacy, and integrity tradeoffs between storing photo data on a mobile device versus in the cloud. Alternatively, students might compare the tradeoffs between file size and image quality of various image file formats and how choice of format may be infuenced by the device on which it is to be accessed (e.g., smartphone, computer).
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