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Nevada Advanced Computer Science 1 Framework


Standard Description
1.1.1 Discuss the requirements of CTSO participation/involvement as described in Carl D. Perkins Law Lessons
1.1.2 Research nationally recognized CTSOs Lessons
1.1.3 Investigate the impact of federal and state government regarding the progression and operation of CTSOs (e.g., Federal Statutes and Regulations, Nevada Administrative Code [NAC], Nevada Revised Statutes [NRS]) Lessons
1.2.1 Discuss the purpose of parliamentary procedure Lessons
1.2.2 Demonstrate the proper use of parliamentary procedure Lessons
1.2.3 Differentiate between an office and a committee Lessons
1.2.4 Discuss the importance of participation in local, regional, state, and national conferences, events, and competitions Lessons
1.2.5 Participate in local, regional, state, or national conferences, events, or competitions Lessons
1.2.6 Describe the importance of a constitution and bylaws to the operation of a CTSO chapter Lessons
1.3.1 Explore opportunities in community service-related work-based learning (WBL) Lessons
1.3.2 Participate in a service learning (program related) and/or community service project or activity Lessons
1.3.3 Engage with business and industry partners for community service Lessons
1.4.1 Demonstrate college and career readiness (e.g., applications, resumes, interview skills, presentation skills) Lessons
1.4.2 Describe the appropriate professional/workplace attire and its importance Lessons
1.4.3 Investigate industry-standard credentials/certifications available within this Career Cluster™ Lessons
1.4.4 Participate in authentic contextualized instructional activities Lessons
1.4.5 Demonstrate technical skills in various student organization activities/events Lessons
1.5.1 Make a connection between program standards to career pathway(s) Lessons
1.5.2 Explain the importance of participation and completion of a program of study Lessons
1.5.3 Promote community awareness of local student organizations associated with CTE programs Lessons
2.1.1 Create prototypes that use algorithms to solve computational problems by leveraging prior student knowledge and personal interests Lessons
2.1.2 Describe how artificial intelligence drives many software and physical systems Lessons
2.1.4 Use and adapt classic algorithms to solve computational problems Lessons
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 Lessons
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 Lessons
2.3.1 Demonstrate the use of both LinkedLists and ArrayLists to simplify solutions, generalizing computational problems instead of repeatedly using simple variables Lessons
2.3.2 Compare and contrast fundamental data structures and their uses Lessons
2.3.3 Implement arrays in code Lessons
2.3.4 Implement ArrayLists and LinkedLists in code Lessons
2.3.5 Implement type-safe variables Lessons
2.4.1 Decompose problems into smaller components through systematic analysis using constructs such as procedures, modules, and/or objects Lessons
2.4.2 Create artifacts by using procedures within a program, combinations of data and procedures, or independent but interrelated programs Lessons
2.5.1 Systematically design and develop programs for broad audiences by incorporating feedback from users Lessons
2.5.2 Evaluate software licenses that limit or restrict the use of computational artifacts when using resources such as libraries Lessons
2.5.3 Evaluate and refine computational artifacts to make them more usable by all and accessible to people with disabilities Lessons
2.5.4 Design and develop computational artifacts while working in team roles and using collaborative tools Lessons
2.5.5 Document design decisions using text, graphics, presentations, and/or demonstrations in the development of complex programs Lessons
3.1.1 Explain how abstractions hide the underlying implementation details of computing systems embedded in everyday objects Lessons
3.2.1 Compare levels of abstraction and interactions between application software, system software, and hardware layers Lessons
3.2.2 Categorize the roles of operating system software Lessons
3.3.1 Develop guidelines that convey systematic troubleshooting strategies that others can use to identify and fix errors Lessons
3.3.2 Illustrate ways computing systems implement logic, input, and output through hardware components Lessons
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) Lessons
4.1.2 Demonstrate the ability to store bit representation of real-world phenomena, characters, numbers, and images Lessons
4.2.1 Create interactive data visualizations or alternative representations using software tools to help others better understand real-world phenomena Lessons
4.2.2 Use data analysis tools and techniques to identify patterns in data representing complex systems Lessons
5.1.1 Evaluate the ways computing impacts personal, ethical, social, economic, and cultural practices Lessons
5.1.2 Test and refine computational artifacts to reduce bias and equity deficits Lessons
5.1.3 Demonstrate ways a given algorithm applies to problems across disciplines Lessons
5.1.4 Explain the potential impacts of artificial intelligence on society Lessons
5.2.1 Use tools and methods for collaboration on a project to increase connectivity of people in different cultures and career fields Lessons
5.2.2 Use tools and methods for collaboration to increase the productivity of a team Lessons
5.3.1 Explain the beneficial and harmful effects that intellectual property laws can have on innovation Lessons
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 Lessons
5.3.3 Evaluate the social and economic implications of privacy in the context of safety, law, or ethics Lessons
6.2.1 Illustrate how sensitive data can be affected by malware and other attacks Lessons
6.2.2 Recommend security measures to address various scenarios based on factors such as efficiency, feasibility, and ethical impacts Lessons
6.2.3 Compare various security measures, considering tradeoffs between the usability and security of a computing system Lessons
6.2.4 Explain tradeoffs when selecting and implementing cybersecurity recommendations Lessons