Computer Science Standards
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Algorithms
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Collection, Visualization, & Transformation
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Control
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Cybersecurity
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Inference & Models
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Modularity
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Showing 11 - 20 of 45 Standards
Standard Identifier: 3-5.AP.14
Grade Range:
3–5
Concept:
Algorithms & Programming
Subconcept:
Modularity
Practice(s):
Developing and Using Abstractions, Creating Computational Artifacts (4.2, 5.3)
Standard:
Create programs by incorporating smaller portions of existing programs, to develop something new or add more advanced features.
Descriptive Statement:
Programs can be broken down into smaller parts, which can be incorporated into new or existing programs. Students incorporate predefined functions into their original designs. At this level, students do not need to understand all of the underlying implementation details of the abstractions that they use. For example, students could use code from a ping pong animation to make a ball bounce in a new basketball game. They could also incorporate code from a single-player basketball game to create a two-player game with slightly different rules. Alternatively, students could remix an animated story and add their own conclusion and/or additional dialogue. (CA CCSS for ELA/Literacy W.3.3.B, W.3.3.D, W.4.3.B, W.4.3.E, W.5.3.B, W.5.3.E) Additionally, when creating a game that occurs on the moon or planets, students could incorporate and modify code that simulates gravity on Earth. They could modify the strength of the gravitational force based on the mass of the planet or moon. (CA NGSS: 5-PS2-1)
Create programs by incorporating smaller portions of existing programs, to develop something new or add more advanced features.
Descriptive Statement:
Programs can be broken down into smaller parts, which can be incorporated into new or existing programs. Students incorporate predefined functions into their original designs. At this level, students do not need to understand all of the underlying implementation details of the abstractions that they use. For example, students could use code from a ping pong animation to make a ball bounce in a new basketball game. They could also incorporate code from a single-player basketball game to create a two-player game with slightly different rules. Alternatively, students could remix an animated story and add their own conclusion and/or additional dialogue. (CA CCSS for ELA/Literacy W.3.3.B, W.3.3.D, W.4.3.B, W.4.3.E, W.5.3.B, W.5.3.E) Additionally, when creating a game that occurs on the moon or planets, students could incorporate and modify code that simulates gravity on Earth. They could modify the strength of the gravitational force based on the mass of the planet or moon. (CA NGSS: 5-PS2-1)
Standard Identifier: 3-5.DA.8
Grade Range:
3–5
Concept:
Data & Analysis
Subconcept:
Collection, Visualization, & Transformation
Practice(s):
Communicating About Computing (7.1)
Standard:
Organize and present collected data visually to highlight relationships and support a claim.
Descriptive Statement:
Raw data has little meaning on its own. Data is often sorted or grouped to provide additional clarity. Organizing data can make interpreting and communicating it to others easier. Data points can be clustered by a number of commonalities. The same data could be manipulated in different ways to emphasize particular aspects or parts of the data set. For example, students could create and administer electronic surveys to their classmates. Possible topics could include favorite books, family heritage, and after school activities. Students could then create digital displays of the data they have collected such as column histogram charts showing the percent of respondents in each grade who selected a particular favorite book. Finally, students could make quantitative statements supported by the data such as which books are more appealing to specific ages of students. As an extension, students could write an opinion piece stating a claim and supporting it with evidence from the data they collected. (CA CCSS for Mathematics 3.MD.3, 4.MD.4, 5.MD.2) (CA CCSS for ELA/Literacy W.3.1, W.4.1, W.5.1) Alternatively, students could represent data in tables and graphical displays to describe weather experienced in the last several years. They could select the type of graphical display based on the specific data represented (e.g., daily high/low temperatures on a scatter plot, average temperatures for a month across years in a column chart). Students could then make a claim about expected weather in future months based on the data. (CA NGSS: 3-ESS2-1)
Organize and present collected data visually to highlight relationships and support a claim.
Descriptive Statement:
Raw data has little meaning on its own. Data is often sorted or grouped to provide additional clarity. Organizing data can make interpreting and communicating it to others easier. Data points can be clustered by a number of commonalities. The same data could be manipulated in different ways to emphasize particular aspects or parts of the data set. For example, students could create and administer electronic surveys to their classmates. Possible topics could include favorite books, family heritage, and after school activities. Students could then create digital displays of the data they have collected such as column histogram charts showing the percent of respondents in each grade who selected a particular favorite book. Finally, students could make quantitative statements supported by the data such as which books are more appealing to specific ages of students. As an extension, students could write an opinion piece stating a claim and supporting it with evidence from the data they collected. (CA CCSS for Mathematics 3.MD.3, 4.MD.4, 5.MD.2) (CA CCSS for ELA/Literacy W.3.1, W.4.1, W.5.1) Alternatively, students could represent data in tables and graphical displays to describe weather experienced in the last several years. They could select the type of graphical display based on the specific data represented (e.g., daily high/low temperatures on a scatter plot, average temperatures for a month across years in a column chart). Students could then make a claim about expected weather in future months based on the data. (CA NGSS: 3-ESS2-1)
Standard Identifier: 3-5.DA.9
Grade Range:
3–5
Concept:
Data & Analysis
Subconcept:
Inference & Models
Practice(s):
Communicating About Computing (7.1)
Standard:
Use data to highlight and/or propose relationships, predict outcomes, or communicate ideas.
Descriptive Statement:
The accuracy of data analysis is related to how the data is represented. Inferences or predictions based on data are less likely to be accurate if the data is insufficient, incomplete, or inaccurate or if the data is incorrect in some way. Additionally, people select aspects and subsets of data to be transformed, organized, and categorized. Students should be able to refer to data when communicating an idea, in order to highlight and/or propose relationships, predict outcomes, highlight different views and/or communicate insights and ideas. For example, students can be provided a scenario in which they are city managers who have a specific amount of funds to improve a city in California. Students can collect data of a city concerning land use, vegetation, wildlife, climate, population density, services and transportation (HSS.4.1.5) to determine and present what area needs to be focused on to improve a problem. Students can compare their data and planned use of funds with peers, clearly communicating or predict outcomes based on data collected. (CA CCCS for ELA/Literacy SL.3.1, SL.4.1, SL.5.1) Alternatively, students could record the temperature at noon each day to show that temperatures are higher in certain months of the year. If temperatures are not recorded on non-school days or are recorded incorrectly, the data would be incomplete and ideas being communicated could be inaccurate. Students may also record the day of the week on which the data was collected, but this would have no relevance to whether temperatures are higher or lower. In order to have sufficient and accurate data on which to communicate the idea, students might use data provided by a governmental weather agency. (CA NGSS: 3-ESS2-1)
Use data to highlight and/or propose relationships, predict outcomes, or communicate ideas.
Descriptive Statement:
The accuracy of data analysis is related to how the data is represented. Inferences or predictions based on data are less likely to be accurate if the data is insufficient, incomplete, or inaccurate or if the data is incorrect in some way. Additionally, people select aspects and subsets of data to be transformed, organized, and categorized. Students should be able to refer to data when communicating an idea, in order to highlight and/or propose relationships, predict outcomes, highlight different views and/or communicate insights and ideas. For example, students can be provided a scenario in which they are city managers who have a specific amount of funds to improve a city in California. Students can collect data of a city concerning land use, vegetation, wildlife, climate, population density, services and transportation (HSS.4.1.5) to determine and present what area needs to be focused on to improve a problem. Students can compare their data and planned use of funds with peers, clearly communicating or predict outcomes based on data collected. (CA CCCS for ELA/Literacy SL.3.1, SL.4.1, SL.5.1) Alternatively, students could record the temperature at noon each day to show that temperatures are higher in certain months of the year. If temperatures are not recorded on non-school days or are recorded incorrectly, the data would be incomplete and ideas being communicated could be inaccurate. Students may also record the day of the week on which the data was collected, but this would have no relevance to whether temperatures are higher or lower. In order to have sufficient and accurate data on which to communicate the idea, students might use data provided by a governmental weather agency. (CA NGSS: 3-ESS2-1)
Standard Identifier: 3-5.NI.5
Grade Range:
3–5
Concept:
Networks & the Internet
Subconcept:
Cybersecurity
Practice(s):
Recognizing and Defining Computational Problems (3.1)
Standard:
Describe physical and digital security measures for protecting personal information.
Descriptive Statement:
Personal information can be protected physically and digitally. Cybersecurity is the protection from unauthorized use of electronic data, or the measures taken to achieve this. Students identify what personal information is and the reasons for protecting it. Students describe physical and digital approaches for protecting personal information such as using strong passwords and biometric scanners. For example, students could engage in a collaborative discussion orally or in writing regarding topics that relate to personal cybersecurity issues. Discussion topics could be based on current events related to cybersecurity or topics that are applicable to students, such as the necessity of backing up data to guard against loss, how to create strong passwords and the importance of not sharing passwords, or why we should keep operating systems updated and use anti-virus software to protect data and systems. Students could also discuss physical measures that can be used to protect data including biometric scanners, locked doors, and physical backups. (CA CCSS for ELA/Literacy SL.3.1, SL.4.1, SL.5.1)
Describe physical and digital security measures for protecting personal information.
Descriptive Statement:
Personal information can be protected physically and digitally. Cybersecurity is the protection from unauthorized use of electronic data, or the measures taken to achieve this. Students identify what personal information is and the reasons for protecting it. Students describe physical and digital approaches for protecting personal information such as using strong passwords and biometric scanners. For example, students could engage in a collaborative discussion orally or in writing regarding topics that relate to personal cybersecurity issues. Discussion topics could be based on current events related to cybersecurity or topics that are applicable to students, such as the necessity of backing up data to guard against loss, how to create strong passwords and the importance of not sharing passwords, or why we should keep operating systems updated and use anti-virus software to protect data and systems. Students could also discuss physical measures that can be used to protect data including biometric scanners, locked doors, and physical backups. (CA CCSS for ELA/Literacy SL.3.1, SL.4.1, SL.5.1)
Standard Identifier: 3-5.NI.6
Grade Range:
3–5
Concept:
Networks & the Internet
Subconcept:
Cybersecurity
Practice(s):
Developing and Using Abstractions (4.4)
Standard:
Create patterns to protect information from unauthorized access.
Descriptive Statement:
Encryption is the process of converting information or data into a code, especially to prevent unauthorized access. At this level, students use patterns as a code for encryption, to protect information. Patterns should be decodable to the party for whom the message is intended, but difficult or impossible for those with unauthorized access. For example, students could create encrypted messages via flashing a flashlight in Morse code. Other students could decode this established language even if it wasn't meant for them. To model the idea of protecting data, students should create their own variations on or changes to Morse code. This ensures that when a member of that group flashes a message only other members of their group can decode it, even if other students in the room can see it. (CA NGSS: 4-PS4-3) Alternatively, students could engage in a CS Unplugged activity that models public key encryption: One student puts a paper containing a written secret in a box, locks it with a padlock, and hands the box to a second student. Student 2 puts on a second padlock and hands it back. Student 1 removes her lock and hands the box to student 2 again. Student 2 removes his lock, opens the box, and has access to the secret that student 1 sent him. Because the box always contained at least one lock while in transit, an outside party never had the opportunity to see the message and it is protected.
Create patterns to protect information from unauthorized access.
Descriptive Statement:
Encryption is the process of converting information or data into a code, especially to prevent unauthorized access. At this level, students use patterns as a code for encryption, to protect information. Patterns should be decodable to the party for whom the message is intended, but difficult or impossible for those with unauthorized access. For example, students could create encrypted messages via flashing a flashlight in Morse code. Other students could decode this established language even if it wasn't meant for them. To model the idea of protecting data, students should create their own variations on or changes to Morse code. This ensures that when a member of that group flashes a message only other members of their group can decode it, even if other students in the room can see it. (CA NGSS: 4-PS4-3) Alternatively, students could engage in a CS Unplugged activity that models public key encryption: One student puts a paper containing a written secret in a box, locks it with a padlock, and hands the box to a second student. Student 2 puts on a second padlock and hands it back. Student 1 removes her lock and hands the box to student 2 again. Student 2 removes his lock, opens the box, and has access to the secret that student 1 sent him. Because the box always contained at least one lock while in transit, an outside party never had the opportunity to see the message and it is protected.
Standard Identifier: 6-8.AP.10
Grade Range:
6–8
Concept:
Algorithms & Programming
Subconcept:
Algorithms
Practice(s):
Developing and Using Abstractions (4.1, 4.4)
Standard:
Use flowcharts and/or pseudocode to design and illustrate algorithms that solve complex problems.
Descriptive Statement:
Complex problems are problems that would be difficult for students to solve without breaking them down into multiple steps. Flowcharts and pseudocode are used to design and illustrate the breakdown of steps in an algorithm. Students design and illustrate algorithms using pseudocode and/or flowcharts that organize and sequence the breakdown of steps for solving complex problems. For example, students might use a flowchart to illustrate an algorithm that produces a recommendation for purchasing sneakers based on inputs such as size, colors, brand, comfort, and cost. Alternatively, students could write pseudocode to express an algorithm for suggesting their outfit for the day, based on inputs such as the weather, color preferences, and day of the week.
Use flowcharts and/or pseudocode to design and illustrate algorithms that solve complex problems.
Descriptive Statement:
Complex problems are problems that would be difficult for students to solve without breaking them down into multiple steps. Flowcharts and pseudocode are used to design and illustrate the breakdown of steps in an algorithm. Students design and illustrate algorithms using pseudocode and/or flowcharts that organize and sequence the breakdown of steps for solving complex problems. For example, students might use a flowchart to illustrate an algorithm that produces a recommendation for purchasing sneakers based on inputs such as size, colors, brand, comfort, and cost. Alternatively, students could write pseudocode to express an algorithm for suggesting their outfit for the day, based on inputs such as the weather, color preferences, and day of the week.
Standard Identifier: 6-8.AP.12
Grade Range:
6–8
Concept:
Algorithms & Programming
Subconcept:
Control
Practice(s):
Creating Computational Artifacts (5.1, 5.2)
Standard:
Design and iteratively develop programs that combine control structures and use compound conditions.
Descriptive Statement:
Control structures can be combined in many ways. Nested loops are loops placed within loops, and nested conditionals allow the result of one conditional to lead to another. Compound conditions combine two or more conditions in a logical relationship (e.g., using AND, OR, and NOT). Students appropriately use control structures to perform repetitive and selection tasks. For example, when programming an interactive story, students could use a compound conditional within a loop to unlock a door only if a character has a key AND is touching the door. (CA CCSS for ELA/Literacy W.6.3, W.7.3, W.8.3) Alternatively, students could use compound conditionals when writing a program to test whether two points lie along the line defined by a particular linear function. (CA CCSS for Mathematics 8.EE.7) Additionally, students could use nested loops to program a character to do the "chicken dance" by opening and closing the beak, flapping the wings, shaking the hips, and clapping four times each; this dance "chorus" is then repeated several times in its entirety.
Design and iteratively develop programs that combine control structures and use compound conditions.
Descriptive Statement:
Control structures can be combined in many ways. Nested loops are loops placed within loops, and nested conditionals allow the result of one conditional to lead to another. Compound conditions combine two or more conditions in a logical relationship (e.g., using AND, OR, and NOT). Students appropriately use control structures to perform repetitive and selection tasks. For example, when programming an interactive story, students could use a compound conditional within a loop to unlock a door only if a character has a key AND is touching the door. (CA CCSS for ELA/Literacy W.6.3, W.7.3, W.8.3) Alternatively, students could use compound conditionals when writing a program to test whether two points lie along the line defined by a particular linear function. (CA CCSS for Mathematics 8.EE.7) Additionally, students could use nested loops to program a character to do the "chicken dance" by opening and closing the beak, flapping the wings, shaking the hips, and clapping four times each; this dance "chorus" is then repeated several times in its entirety.
Standard Identifier: 6-8.AP.13
Grade Range:
6–8
Concept:
Algorithms & Programming
Subconcept:
Modularity
Practice(s):
Recognizing and Defining Computational Problems (3.2)
Standard:
Decompose problems and subproblems into parts to facilitate the design, implementation, and review of programs.
Descriptive Statement:
Decomposition facilitates program development by allowing students to focus on one piece at a time (e.g., getting input from the user, processing the data, and displaying the result to the user). Decomposition also enables different students to work on different parts at the same time. Students break down (decompose) problems into subproblems, which can be further broken down to smaller parts. Students could create an arcade game, with a title screen, a game screen, and a win/lose screen with an option to play the game again. To do this, students need to identify subproblems that accompany each screen (e.g., selecting an avatar goes in the title screen, events for controlling character action and scoring goes in the game screen, and displaying final and high score and asking whether to play again goes in the win/lose screen). Alternatively, students could decompose the problem of calculating and displaying class grades. Subproblems might include: accept input for students grades on various assignments, check for invalid grade entries, calculate per assignment averages, calculate per student averages, and display histograms of student scores for each assignment. (CA CCSS for Mathematics 6.RP.3c, 6.SP.4, 6.SP.5)
Decompose problems and subproblems into parts to facilitate the design, implementation, and review of programs.
Descriptive Statement:
Decomposition facilitates program development by allowing students to focus on one piece at a time (e.g., getting input from the user, processing the data, and displaying the result to the user). Decomposition also enables different students to work on different parts at the same time. Students break down (decompose) problems into subproblems, which can be further broken down to smaller parts. Students could create an arcade game, with a title screen, a game screen, and a win/lose screen with an option to play the game again. To do this, students need to identify subproblems that accompany each screen (e.g., selecting an avatar goes in the title screen, events for controlling character action and scoring goes in the game screen, and displaying final and high score and asking whether to play again goes in the win/lose screen). Alternatively, students could decompose the problem of calculating and displaying class grades. Subproblems might include: accept input for students grades on various assignments, check for invalid grade entries, calculate per assignment averages, calculate per student averages, and display histograms of student scores for each assignment. (CA CCSS for Mathematics 6.RP.3c, 6.SP.4, 6.SP.5)
Standard Identifier: 6-8.AP.14
Grade Range:
6–8
Concept:
Algorithms & Programming
Subconcept:
Modularity
Practice(s):
Developing and Using Abstractions (4.1, 4.3)
Standard:
Create procedures with parameters to organize code and make it easier to reuse.
Descriptive Statement:
Procedures support modularity in developing programs. Parameters can provide greater flexibility, reusability, and efficient use of resources. Students create procedures and/or functions that are used multiple times within a program to repeat groups of instructions. They generalize the procedures and/or functions by defining parameters that generate different outputs for a wide range of inputs. For example, students could create a procedure to draw a circle which involves many instructions, but all of them can be invoked with one instruction, such as “drawCircle.” By adding a radius parameter, students can easily draw circles of different sizes. (CA CCSS for Mathematics 7.G.4) Alternatively, calculating the area of a regular polygon requires multiple steps. Students could write a function that accepts the number and length of the sides as parameters and then calculates the area of the polygon. This function can then be re-used inside any program to calculate the area of a regular polygon. (CA CCSS for Mathematics 6.G.1)
Create procedures with parameters to organize code and make it easier to reuse.
Descriptive Statement:
Procedures support modularity in developing programs. Parameters can provide greater flexibility, reusability, and efficient use of resources. Students create procedures and/or functions that are used multiple times within a program to repeat groups of instructions. They generalize the procedures and/or functions by defining parameters that generate different outputs for a wide range of inputs. For example, students could create a procedure to draw a circle which involves many instructions, but all of them can be invoked with one instruction, such as “drawCircle.” By adding a radius parameter, students can easily draw circles of different sizes. (CA CCSS for Mathematics 7.G.4) Alternatively, calculating the area of a regular polygon requires multiple steps. Students could write a function that accepts the number and length of the sides as parameters and then calculates the area of the polygon. This function can then be re-used inside any program to calculate the area of a regular polygon. (CA CCSS for Mathematics 6.G.1)
Standard Identifier: 6-8.DA.8
Grade Range:
6–8
Concept:
Data & Analysis
Subconcept:
Collection, Visualization, & Transformation
Practice(s):
Communicating About Computing (7.1)
Standard:
Collect data using computational tools and transform the data to make it more useful.
Descriptive Statement:
Data collection has become easier and more ubiquitous. The cleaning of data is an important transformation for ensuring consistent format, reducing noise and errors (e.g., removing irrelevant responses in a survey), and/or making it easier for computers to process. Students build on their ability to organize and present data visually to support a claim, understanding when and how to transform data so information can be more easily extracted. Students also transform data to highlight or expose relationships. For example, students could use computational tools to collect data from their peers regarding the percentage of time technology is used for school work and entertainment, and then create digital displays of their data and findings. Students could then transform the data to highlight relationships representing males and females as percentages of a whole instead of as individual counts. (CA CCSS for Mathematics 6.SP.4, 7.SP.3, 8.SP.1, 8.SP.4) Alternatively, students could collect data from online forms and surveys, from a sensor, or by scraping a web page, and then transform the data to expose relationships. They could highlight the distribution of data (e.g., words on a web page, readings from a sensor) by giving quantitative measures of center and variability. (CA CCSS for Mathematics 6.SP.5.c, 7.SP.4)
Collect data using computational tools and transform the data to make it more useful.
Descriptive Statement:
Data collection has become easier and more ubiquitous. The cleaning of data is an important transformation for ensuring consistent format, reducing noise and errors (e.g., removing irrelevant responses in a survey), and/or making it easier for computers to process. Students build on their ability to organize and present data visually to support a claim, understanding when and how to transform data so information can be more easily extracted. Students also transform data to highlight or expose relationships. For example, students could use computational tools to collect data from their peers regarding the percentage of time technology is used for school work and entertainment, and then create digital displays of their data and findings. Students could then transform the data to highlight relationships representing males and females as percentages of a whole instead of as individual counts. (CA CCSS for Mathematics 6.SP.4, 7.SP.3, 8.SP.1, 8.SP.4) Alternatively, students could collect data from online forms and surveys, from a sensor, or by scraping a web page, and then transform the data to expose relationships. They could highlight the distribution of data (e.g., words on a web page, readings from a sensor) by giving quantitative measures of center and variability. (CA CCSS for Mathematics 6.SP.5.c, 7.SP.4)
Showing 11 - 20 of 45 Standards
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