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Standards Mapping

for Nevada CS I


Standards in this Framework


Standards Mapped


Mapped to Course

Standard Lessons
Create prototypes that use algorithms to solve computational problems by leveraging prior student knowledge and personal interests
  1. 1.6 Top Down Design and Decomposition in Karel
  2. 1.16 Karel Challenges
  3. 13.10 Top Down Design
  4. 13.19 Putting Together Control Structures
Justify the selection of specific control structures when tradeoffs involve implementation, readability, and program performance, and explain the benefits and drawbacks of choices made
  1. 1.13 Control Structures Example
  2. 1.14 More Karel Examples and Testing
  3. 1.16 Karel Challenges
  4. 13.16 If Statements
  5. 13.17 If/ Else Statements
  6. 13.19 Putting Together Control Structures
Design and iteratively develop computational artifacts for practical intent, personal expression, or to address a societal issue by using events to initiate instructions
Demonstrate the use of both linked lists and arrays to simplify solutions, generalizing computational problems instead of repeatedly using simple variables
Compare and contrast fundamental data structures and their uses
Decompose problems into smaller components through systematic analysis, using constructs such as procedures, modules, and/or objects
  1. 13.8 Functions
  2. 13.13 Parameters
Create artifacts by using procedures within a program, combinations of data and procedures, or independent but interrelated programs
  1. 13.8 Functions
  2. 13.13 Parameters
Systematically design and develop programs for broad audiences by incorporating feedback from users
Evaluate licenses that limit or restrict the use of computational artifacts when using resources such as libraries
Evaluate and refine computational artifacts to make them more usable by all and accessible to people with disabilities
Design and develop computational artifacts while working in team roles and using collaborative tools
  1. 13.19 Putting Together Control Structures
Document design decisions using text, graphics, presentations, and/or demonstrations in the development of complex programs
  1. 1.6 Top Down Design and Decomposition in Karel
  2. 1.7 Commenting Your Code
  3. 13.6 Comments
  4. 13.10 Top Down Design
Explain how abstractions hide the underlying implementation details of computing systems embedded in everyday objects
  1. 6.1 Intro to Digital Information
  2. 6.3 Encoding Text with Binary
  3. 6.4 Pixel Images
Compare levels of abstraction and interactions between application software, system software, and hardware layers
Develop guidelines that convey systematic troubleshooting strategies that others can use to identify and fix errors
  1. 13.6 Comments
  2. 13.10 Top Down Design
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
  1. 6.2 Number Systems
  2. 6.3 Encoding Text with Binary
  3. 6.4 Pixel Images
  4. 6.5 Hexadecimal
Evaluate the tradeoffs in how data elements are organized and where data is stored
Create interactive data visualizations or alternative representations using software tools to help others better understand real-world phenomena
Use data analysis tools and techniques to identify patterns in data representing complex systems
Create computational models that represent the relationships among different elements of data collected from a phenomenon, process, or model
Evaluate the ways computing impacts personal, ethical, social, economic, and cultural practices
  1. 2.5 Future of Computing
  2. 7.7 The Impact of the Internet
Test and refine computational artifacts to reduce bias and equity deficits
Demonstrate ways a given algorithm applies to problems across disciplines
Explain the potential impacts of artificial intelligence on society
Use tools and methods for collaboration on a project to increase connectivity of people in different cultures and career fields
Explain the beneficial and harmful effects that intellectual property laws can have on innovation
  1. 9.6 Creative Credit & Copyright
Explain the privacy concerns related to the collection and generation of data through automated processes that may not be evident to users
  1. 9.1 Digital Footprint and Reputation
  2. 9.4 Privacy & Security
Evaluate the social and economic implications of privacy in the context of safety, law, or ethics
  1. 9.1 Digital Footprint and Reputation
  2. 9.4 Privacy & Security
Evaluate the scalability and reliability of networks, by describing the relationship between routers, switches, servers, topology, and addressing
Illustrate how sensitive data can be affected by malware and other attacks
  1. 15.2 What is Cybersecurity?
  2. 15.3 Impact of Cybersecurity
Recommend security measures to address various scenarios based on factors such as efficiency, feasibility, and ethical impacts
  1. 9.4 Privacy & Security
Compare various security measures, considering tradeoffs between the usability and security of a computing system
Explain tradeoffs when selecting and implementing cybersecurity recommendations