Computing Systems

1. Devices

2. Hardware & Software

3. Troubleshooting

Networks & the Internet

1. Network Communication & Organization

2. Cybersecurity

Data & Analysis

1. Storage

2. Collection, Visualization, & Transformation

3. Inference and Models

Algorithms & Programming

1. Algorithms

2. Variables

 Fostering an inclusive computing culture

1. Include unique perspective of others & reflect on own practice when designing & developing computational products

2. Address the needs of diverse users during the design process to produce artifacts with broad accessibility and usability

3. Employ self- and peer- advocacy to address bias in interactions, product design, and development methods

Collaborating around computing

1. Cultivate working relationships with individuals possessing diverse perspectives, skills, & personalities

2. Create team norms, expectations, and equitable workloads to increase efficiency & effectiveness

3. Solicit & incorporate feedback, & provide constructive feedback to, team members & other stakeholders

4. Evaluate & select technological tools that can be used to collaborate on a project.

Recognizing & defining computational problems

1. ID complex, interdisciplinary, real-world problems that can be solved computationally.

2. Decompose complex real-world problems into manageable subproblems that could integrate existing solutions or procedures

3. Evaluate whether it is appropriate and feasible to solve a problem computationally.

Developing & using abstractions 

1. Extract common features from a set of interrelated processes or complex phenomena.

2. Evaluate existing technological functionalities and incorporate them into new designs.

3. Create modules & develop points of interaction that can apply to multiple situations & reduce complexity.

4. Model phenomena & processes & stimulate systems to understand & evaluate potential outcomes.

Creating computational artifacts 

1. Plan computational artifacts using an interactive process that includes reflection on and modification of the plan, taking into account key features, time and resource constraints, & user expectations

2. Create a computational artifact for practical intent, personal expression, or to address a societal issue.

3. Modify an existing artifact to improve or customize it.

Testing & refining computational artifacts

1. Systematically test computational artifacts by considering all scenarios & using test cases.

2. ID & fix errors using a systematic process

3. Evaluate & refine a computational artifact multiple times to enhance its performance, reliability, usability, & accessibility.

Communicating about computing

1. Select, organize, & interpret large data sets from multiple sources to support a claim.

2. Describe, justify, & document computational processes & solutions using appropriate terminology consistent with the intended audience & purpose.

3. Articulate ideas responsibly by observing intellectual property rights & giving appropriate attribution.