Standards in this Framework
Standards Mapped
Mapped to Course
| Standard | Lessons |
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CS.1.1.1
Create prototypes that use algorithms to solve computational problems by leveraging prior student knowledge and personal interests |
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CS.1.1.2
Describe how artificial intelligence drives many software and physical systems |
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CS.1.1.3
Implement an artificial intelligence algorithm to play a game against a human opponent or solve a problem |
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CS.1.1.4
Use and adapt classic algorithms to solve computational problems |
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CS.1.1.5
Develop classic algorithms in code to solve computational problems |
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CS.1.1.6
Evaluate algorithms in terms of their efficiency, correctness, and clarity |
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CS.1.2.1
Justify the selection of specific control structures when tradeoffs involve implementation, readability, and program performance, and explain the benefits and drawbacks of choices made |
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CS.1.2.2
Design and iteratively develop computational artifacts for practical intent, personal expression, or to address a societal issue by using events to initiate instructions |
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CS.1.2.3
Illustrate the flow of execution of a recursive algorithm |
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CS.1.2.4
Implement conditional controls in code |
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CS.1.2.5
Implement recursive algorithms in code |
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CS.1.3.1
Demonstrate the use of both linked lists and arrays to simplify solutions, generalizing computational problems instead of repeatedly using simple variables |
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CS.1.3.2
Compare and contrast fundamental data structures and their uses |
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CS.1.3.3
Implement arrays in code |
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CS.1.3.4
Implement ArrayLists and LinkedLists in code |
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CS.1.4.1
Decompose problems into smaller components through systematic analysis, using constructs such as procedures, modules, and/or objects |
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CS.1.4.2
Create artifacts by using procedures within a program, combinations of data and procedures, or independent but interrelated programs |
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CS.1.4.3
Construct solutions to problems using student-created components, such as procedures, modules and/or objects |
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CS.1.4.4
Analyze a large-scale computational problem and identify generalizable patterns that can be applied to a solution |
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CS.1.4.5
Demonstrate code reuse by creating programming solutions using libraries and APIs |
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CS.1.5.1
Systematically design and develop programs for broad audiences by incorporating feedback from users |
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CS.1.5.2
Evaluate licenses that limit or restrict the use of computational artifacts when using resources such as libraries |
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CS.1.5.3
Evaluate and refine computational artifacts to make them more usable by all and accessible to people with disabilities |
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CS.1.5.4
Design and develop computational artifacts while working in team roles and using collaborative tools |
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CS.1.5.5
Document design decisions using text, graphics, presentations, and/or demonstrations in the development of complex programs |
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CS.1.5.6
Plan and develop programs for broad audiences using a software life cycle process |
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CS.1.5.7
Explain security issues that might lead to compromised computer programs |
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CS.1.5.8
Develop programs for multiple computing platforms |
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CS.1.5.9
Use version control systems, integrated development environments (IDEs), and collaborative tools and practices (code documentation) in a group software project |
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CS.1.5.10
Develop and use a series of test cases to verify that a program performs according to its design specifications |
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CS.1.5.11
Modify an existing program to add additional functionality and discuss intended and unintended implications, e.g., breaking other functionality |
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CS.1.5.12
Evaluate key qualities of a program through a process such as a code review |
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CS.1.5.13
Compare multiple programming languages and discuss how their features make them suitable for solving different types of problems |
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CS.2.1.1
Explain how abstractions hide the underlying implementation details of computing systems embedded in everyday objects |
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CS.2.2.1
Compare levels of abstraction and interactions between application software, system software, and hardware layers |
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CS.2.2.2
Categorize the roles of operating system software |
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CS.2.3.1
Develop guidelines that convey systematic troubleshooting strategies that others can use to identify and fix errors |
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CS.2.3.2
Illustrate ways computing systems implement logic, input, and output through hardware components |
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CS.3.1.1
Translate between different bit representations of real-world phenomena, such as characters, numbers, and images, e.g., convert hexadecimal colors to decimal percentages, ASCII/Unicode representation |
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CS.3.1.2
Evaluate the tradeoffs in how data elements are organized and where data is stored |
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CS.3.1.3
Demonstrate the ability to store bit representation of real-world phenomena, characters, numbers, and images |
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CS.3.2.1
Create interactive data visualizations or alternative representations using software tools to help others better understand real-world phenomena |
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CS.3.2.2
Use data analysis tools and techniques to identify patterns in data representing complex systems |
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CS.3.2.3
Select data collection tools and techniques to generate data sets that support a claim or communicate information |
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CS.3.3.1
Create computational models that represent the relationships among different elements of data collected from a phenomenon, process, or model |
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CS.3.3.2
Evaluate the ability of models and simulations to test and support the refinement of hypotheses |
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CS.4.1.1
Evaluate the ways computing impacts personal, ethical, social, economic, and cultural practices |
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CS.4.1.2
Test and refine computational artifacts to reduce bias and equity deficits |
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CS.4.1.3
Demonstrate ways a given algorithm applies to problems across disciplines |
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CS.4.1.4
Explain the potential impacts of artificial intelligence on society |
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CS.4.1.5
Evaluate computational artifacts to maximize their beneficial effects and minimize harmful effects on society |
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CS.4.1.6
Create computational artifacts to maximize their beneficial effects and minimize harmful effects on society |
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CS.4.1.7
Evaluate the impact of equity, access, and influence on the distribution of computing resources in a global society |
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CS.4.1.8
Predict how computational innovations that have revolutionized aspects of our culture might evolve |
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CS.4.2.1
Use tools and methods for collaboration on a project to increase connectivity of people in different cultures and career fields |
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CS.4.2.2
Use tools and methods for collaboration to increase the productivity of a team |
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CS.4.3.1
Explain the beneficial and harmful effects that intellectual property laws can have on innovation |
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CS.4.3.2
Explain the privacy concerns related to the collection and generation of data through automated processes that may not be evident to users |
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CS.4.3.3
Evaluate the social and economic implications of privacy in the context of safety, law, or ethics |
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CS.4.3.4
Discuss the role of ethics in emerging technologies |
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CS.4.3.5
Debate laws and regulations that impact the development and use of software |
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CS.5.1.1
Evaluate the scalability and reliability of networks, by describing the relationship between routers, switches, servers, topology, and addressing |
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CS.5.1.2
Describe the issues that impact network functionality, e.g., bandwidth, load, delay, topology |
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CS.5.2.1
Illustrate how sensitive data can be affected by malware and other attacks |
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CS.5.2.2
Recommend security measures to address various scenarios based on factors such as efficiency, feasibility, and ethical impacts |
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CS.5.2.3
Compare various security measures, considering tradeoffs between the usability and security of a computing system |
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CS.5.2.4
Explain tradeoffs when selecting and implementing cybersecurity recommendations |
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CS.5.2.5
Compare ways software developers protect devices and information from unauthorized access |
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