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Computer Science Standards




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Showing 1 - 4 of 4 Standards

Standard Identifier: K-2.DA.8

Grade Range: K–2
Concept: Data & Analysis
Subconcept: Collection, Visualization, & Transformation
Practice(s): Developing and Using Abstractions, Communicating About Computing (4.4, 7.1)

Standard:
Collect and present data in various visual formats.

Descriptive Statement:
Data can be collected and presented in various visual formats. For example, students could measure temperature changes throughout a day. They could then discuss ways to display the data visually. Students could extend the activity by writing different narratives based on collected data, such as a story that begins in the morning when temperatures are low and one that begins in the afternoon when the sun is high and temperatures are higher. (CA CCSS for ELA/Literacy RL.K.9, RL.1.9, RL.2.9, W.K.3, W.1.3, W.2.3). Alternatively, students collect peers' favorite flavor of ice cream and brainstorm differing ways to display the data. In groups, students can choose to display and present the data in a format of their choice. (CA CCSS for Mathematics K.MD.3, 1.MD.4, 2.MD.10)

Standard Identifier: 6-8.AP.16

Grade Range: 6–8
Concept: Algorithms & Programming
Subconcept: Program Development
Practice(s): Developing and Using Abstractions, Creating Computational Artifacts, Communicating About Computing (4.2, 5.2, 7.3)

Standard:
Incorporate existing code, media, and libraries into original programs, and give attribution.

Descriptive Statement:
Building on the work of others enables students to produce more interesting and powerful creations. Students use portions of code, algorithms, digital media, and/or data created by others in their own programs and websites. They give attribution to the original creators to acknowledge their contributions. For example, when creating a side-scrolling game, students may incorporate portions of code that create a realistic jump movement from another person's game, and they may also import Creative Commons-licensed images to use in the background. Alternatively, when creating a website to demonstrate their knowledge of historical figures from the Civil War, students may use a professionally-designed template and public domain images of historical figures. (HSS.8.10.5) Additionally, students could import libraries and connect to web application program interfaces (APIs) to make their own programming processes more efficient and reduce the number of bugs (e.g., to check whether the user input is a valid date, to input the current temperature from another city).

Standard Identifier: 9-12S.AP.23

Grade Range: 9–12 Specialty
Concept: Algorithms & Programming
Subconcept: Program Development
Practice(s): Developing and Using Abstractions, Creating Computational Artifacts (4.2, 5.3)

Standard:
Modify an existing program to add additional functionality and discuss intended and unintended implications.

Descriptive Statement:
Modularity and code reuse is key in modern software. However, when code is modified, the programmer should consider relevant situations in which this code might be used in other places. Students create and document modifications to existing programs that enhance functionality, and then identify, document, and correct unintended consequences. For example, students could take an existing a procedure that calculates the average of a set of numbers and returns an integer (which lacks precision) and modify it to return a floating-point number instead. The student would explain how the change might impact multiple scenarios.

Standard Identifier: 9-12S.DA.8

Grade Range: 9–12 Specialty
Concept: Data & Analysis
Subconcept: Collection, Visualization, & Transformation
Practice(s): Developing and Using Abstractions, Communicating About Computing (4.1, 7.1)

Standard:
Use data analysis tools and techniques to identify patterns in data representing complex systems.

Descriptive Statement:
Data analysis tools can be useful for identifying patterns in large amounts of data in many different fields. Computers can help with the processing of extremely large sets of data making very complex systems manageable. Students use computational tools to analyze, summarize, and visualize a large set of data. For example, students could analyze a data set containing marathon times and determine how age, gender, weather, and course features correlate with running times. Alternatively, students could analyze a data set of social media interactions to identify the most influential users and visualize the intersections between different social groups.

Questions: Curriculum Frameworks and Instructional Resources Division | CFIRD@cde.ca.gov | 916-319-0881