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Standards Framework

for Nevada CS I

20

Standards in this Framework

Standard Description
CS.1.1.1 Create prototypes that use algorithms to solve computational problems by leveraging prior student knowledge and personal interests
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
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
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
CS.1.3.2 Compare and contrast fundamental data structures and their uses
CS.1.4.1 Decompose problems into smaller components through systematic analysis, using constructs such as procedures, modules, and/or objects
CS.1.4.2 Create artifacts by using procedures within a program, combinations of data and procedures, or independent but interrelated programs
CS.1.5.1 Systematically design and develop programs for broad audiences by incorporating feedback from users
CS.1.5.2 Evaluate licenses that limit or restrict the use of computational artifacts when using resources such as libraries
CS.1.5.4 Design and develop computational artifacts while working in team roles and using collaborative tools
CS.1.5.5 Document design decisions using text, graphics, presentations, and/or demonstrations in the development of complex programs
CS.2.2.1 Compare levels of abstraction and interactions between application software, system software, and hardware layers
CS.2.3.1 Develop guidelines that convey systematic troubleshooting strategies that others can use to identify and fix errors
CS.3.1.2 Evaluate the tradeoffs in how data elements are organized and where data is stored
CS.4.3.1 Explain the beneficial and harmful effects that intellectual property laws can have on innovation
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
CS.4.3.3 Evaluate the social and economic implications of privacy in the context of safety, law, or ethics
CS.5.2.2 Recommend security measures to address various scenarios based on factors such as efficiency, feasibility, and ethical impacts
CS.5.2.3 Compare various security measures, considering tradeoffs between the usability and security of a computing system
CS.5.2.4 Explain tradeoffs when selecting and implementing cybersecurity recommendations