Please enable JavaScript to use CodeHS

Standards Framework

for Nevada Advanced Computer Science 1

34

Standards in this Framework

Standard Description
2.1.1 Create prototypes that use algorithms to solve computational problems by leveraging prior student knowledge and personal interests
2.1.4 Use and adapt classic algorithms to solve computational problems
2.2.1 Justify the selection of specific control structures when tradeoffs involve implementation, readability, and program performance, and explain the benefits and drawbacks of choices made
2.2.2 Design and iteratively develop computational artifacts for practical intent, personal expression, or to address a societal issue by using events to initiate instructions
2.3.1 Demonstrate the use of both LinkedLists and ArrayLists to simplify solutions, generalizing computational problems instead of repeatedly using simple variables
2.3.2 Compare and contrast fundamental data structures and their uses
2.3.3 Implement arrays in code
2.3.5 Implement type-safe variables
2.4.1 Decompose problems into smaller components through systematic analysis using constructs such as procedures, modules, and/or objects
2.4.2 Create artifacts by using procedures within a program, combinations of data and procedures, or independent but interrelated programs
2.5.1 Systematically design and develop programs for broad audiences by incorporating feedback from users
2.5.2 Evaluate software licenses that limit or restrict the use of computational artifacts when using resources such as libraries
2.5.3 Evaluate and refine computational artifacts to make them more usable by all and accessible to people with disabilities
2.5.4 Design and develop computational artifacts while working in team roles and using collaborative tools
2.5.5 Document design decisions using text, graphics, presentations, and/or demonstrations in the development of complex programs
3.1.1 Explain how abstractions hide the underlying implementation details of computing systems embedded in everyday objects
3.2.1 Compare levels of abstraction and interactions between application software, system software, and hardware layers
3.3.1 Develop guidelines that convey systematic troubleshooting strategies that others can use to identify and fix errors
3.3.2 Illustrate ways computing systems implement logic, input, and output through hardware components
4.1.1 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)
4.1.2 Demonstrate the ability to store bit representation of real-world phenomena, characters, numbers, and images
4.2.1 Create interactive data visualizations or alternative representations using software tools to help others better understand real-world phenomena
4.2.2 Use data analysis tools and techniques to identify patterns in data representing complex systems
5.1.1 Evaluate the ways computing impacts personal, ethical, social, economic, and cultural practices
5.1.2 Test and refine computational artifacts to reduce bias and equity deficits
5.2.1 Use tools and methods for collaboration on a project to increase connectivity of people in different cultures and career fields
5.2.2 Use tools and methods for collaboration to increase the productivity of a team
5.3.1 Explain the beneficial and harmful effects that intellectual property laws can have on innovation
5.3.2 Explain the privacy concerns related to the collection and generation of data through automated processes that may not be evident to users
5.3.3 Evaluate the social and economic implications of privacy in the context of safety, law, or ethics
6.2.1 Illustrate how sensitive data can be affected by malware and other attacks
6.2.2 Recommend security measures to address various scenarios based on factors such as efficiency, feasibility, and ethical impacts
6.2.3 Compare various security measures, considering tradeoffs between the usability and security of a computing system
6.2.4 Explain tradeoffs when selecting and implementing cybersecurity recommendations