Standards in this Framework
|Design algorithms to solve computational problems using a combination of original and existing algorithms.
|Create more generalized computational solutions using collections instead of repeatedly using simple variables.
|Justify the selection of specific control structures by identifying tradeoffs associated with implementation, readability, and performance.
|Iteratively design and develop computational artifacts for practical intent, personal expression, or to address a societal issue by using events to initiate instructions.
|Decompose problems into smaller subproblems through systematic analysis, using constructs such as procedures, modules, and/or classes.
|Create computational artifacts using modular design.
|Systematically design programs for broad audiences by incorporating feedback from users.
|Explain the limitations of licenses that restrict use of computational artifacts when using resources such as libraries.
|Iteratively evaluate and refine a computational artifact to enhance its performance, reliability, usability, and accessibility.
|Design and develop computational artifacts working in team roles using collaborative tools.
|Document decisions made during the design process using text, graphics, presentations, and/or demonstrations in the development of complex programs.
|Describe ways in which abstractions hide the underlying implementation details of computing systems to simplify user experiences.
|Compare levels of abstraction and interactions between application software, system software, and hardware.
|Develop guidelines that convey systematic troubleshooting strategies that others can use to identify and fix errors.
|Create data visualizations to help others better understand real-world phenomena.
|Refine computational models to better represent the relationships among different elements of data collected from a phenomenon or process.
|Translate between different representations of data abstractions of real-world phenomena, such as characters, numbers, and images.
|Describe tradeoffs associated with how data elements are organized and stored.
|Evaluate the ways computing impacts personal, ethical, social, economic, and cultural practices.
|Identify impacts of bias and equity deficit on design and implementation of computational artifacts and apply appropriate processes for evaluating issues of bias.
|Demonstrate ways a given algorithm applies to problems across disciplines.
|Study, discuss, and think critically about the potential impacts and implications of emerging technologies on larger social, economic, and political structures, with evidence from credible sources.
|Use collaboration tools and methods to increase connectivity with people of different cultures and careers.
|Explain the beneficial and harmful effects that intellectual property laws can have on innovation.
|Explain the privacy concerns related to the collection and generation of data through automated processes.
|Evaluate the social and economic implications of privacy in the context of safety, law, or ethics.
|Describe issues that impact network functionality.
|Describe the design characteristics of the Internet.
|Compare and contrast security measures to address various security threats.
|Compare and contrast cryptographic techniques to model the secure transmission of information.