Standards in this Framework
|Create computational artifacts that use algorithms to solve computational problems by leveraging prior knowledge and personal interests.
|Explain the role of a variable within a program, and the scope in which its name and value can be used.
|Create a program that processes a collection of data.
|Create and justify the selection of specific control structures when tradeoffs involve code organization, readability, and program performance and explain the benefits and drawbacks of choices made.
|Identify existing computational artifacts that can be used for the subtasks of a decomposed problem
|Create computational artifacts by incorporating predefined procedures, self-defined procedures and external artifacts.
|Systematically design and implement computational artifacts for targeted audiences by incorporating feedback from users.
|Systematically test and refine programs using a range of test cases.
|Document computational artifacts in order to make them easier to follow, test, and debug.
|Analyze a computing system and explain how abstractions simplify the underlying implementation details embedded in everyday objects.
|Compare levels of abstraction and interactions between application software, system software, and hardware layers.
|Develop and communicate troubleshooting strategies others can use to identify and fix errors.
|Identify the various elements of a network and describe how they function and interact to transfer information.
|Explain the privacy concerns related to the collection and generation of data through automated processes that may not be evident to users.
|Analyze an existing or proposed application to identify the potential ways it could be used to obtain sensitive information.
|Explain how the digital security of an organization may be affected by the actions of its employees.
|Recommend security measures to address various scenarios based on factors such as efficiency, feasibility, and ethical impacts.
|Explain tradeoffs when selecting and implementing cybersecurity recommendations.
|Describe the appropriate actions to take in response to detected security breaches.
|Select appropriate data-collection tools and presentation techniques for different types of data.
|Create computational models that represent the relationships among different elements of data collected from a phenomenon or process.
|Discuss potential hidden biases that could be introduced while collecting a dataset and how these biases could affect analysis conclusions.
|Evaluate the ability of models and simulations to test and support the refinement of hypotheses.
|Explain tradeoffs between storing data locally or in central, cloud-based systems.
|Translate data for various real-world phenomena, such as characters, numbers, and images, into bits.
|Select appropriate software tools or resources to create a complex artifact or solve a problem.
|Decompose a complex problem into multiple questions, identify which can be explored through digital sources, and synthesize query results using a variety of software tools.
|Describe different kinds of computations that software tools perform to tailor a system to individual users.
|Evaluate the ways computing impacts personal, ethical, social, economic, and cultural practices.
|Design and analyze computational artifacts to reduce bias and equity deficits.
|Evaluate the impact of equity, access, and influence on the distribution of computing resources in a global society.
|Evaluate the impact of intellectual property laws on the use of digital information.
|Evaluate the social and economic implications of privacy and free speech in the context of safety, law, or ethics.
|Use tools and methods for collaboration on a project to increase connectivity between people in different cultures and career fields.