Please enable JavaScript to use CodeHS

Standards Mapping

for Nevada CS I

33

Standards in this Framework

17

Standards Mapped

51%

Mapped to Course

Standard Lessons
CS.1.1.1
Create prototypes that use algorithms to solve computational problems by leveraging prior student knowledge and personal interests
  1. 5.4 Accessor Methods
  2. 5.5 Mutator Methods
  3. 5.6 Writing Methods
  4. 17.1 Elevens
  5. 18.1 Magpie Lab
  6. 20.4 Create a Negative or Positive Review
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
  1. 3.7 Comparing Objects
  2. 4.1 Iteration
  3. 4.2 For Loops
  4. 4.3 Developing Algorithms Using Strings
  5. 4.5 Informal Code Analysis
  6. 10.1 Recursion
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
  1. 18.1 Magpie Lab
  2. 20.4 Create a Negative or Positive Review
  3. 21.4 Activity 4: Extending the Celebrity Class
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
  1. 6.1 Array
  2. 6.2 Traversing Arrays
  3. 6.3 Enhanced for Loop for Arrays
CS.1.3.2
Compare and contrast fundamental data structures and their uses
  1. 6.1 Array
  2. 7.1 ArrayList
  3. 7.4 Developing Algorithms using ArrayLists
  4. 8.1 2D Arrays
  5. 8.2 Traversing 2D Arrays
CS.1.4.1
Decompose problems into smaller components through systematic analysis, using constructs such as procedures, modules, and/or objects
  1. 2.4 Calling a Void Method
  2. 2.5 Calling a Void Method with Parameters
  3. 2.6 Calling a Non-void Method
  4. 5.4 Accessor Methods
  5. 5.5 Mutator Methods
  6. 5.6 Writing Methods
CS.1.4.2
Create artifacts by using procedures within a program, combinations of data and procedures, or independent but interrelated programs
  1. 6.4 Developing Algorithms Using Arrays
  2. 7.4 Developing Algorithms using ArrayLists
  3. 8.2 Traversing 2D Arrays
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.1.5.3
Evaluate and refine computational artifacts to make them more usable by all and accessible to people with disabilities
CS.1.5.4
Design and develop computational artifacts while working in team roles and using collaborative tools
  1. 20.1 Introduction
  2. 20.2 Sentiment Value and Star Ratings
  3. 20.3 Autogenerated Review
  4. 21.1 Activity 1: Introduction to Celebrity
  5. 21.2 Activity 2: The Celebrity Class: A Simple Version
  6. 21.3 Activity 3: Putting it All Together
CS.1.5.5
Document design decisions using text, graphics, presentations, and/or demonstrations in the development of complex programs
  1. 5.3 Documentation with Comments
CS.2.1.1
Explain how abstractions hide the underlying implementation details of computing systems embedded in everyday objects
  1. 2.9 Wrapper Classes: Integers and Doubles
  2. 2.10 Using the Math Class
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
  1. 5.3 Documentation with Comments
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
CS.3.1.2
Evaluate the tradeoffs in how data elements are organized and where data is stored
  1. 6.1 Array
  2. 7.1 ArrayList
  3. 7.4 Developing Algorithms using ArrayLists
  4. 8.1 2D Arrays
CS.3.2.1
Create interactive data visualizations or alternative representations using software tools to help others better understand real-world phenomena
CS.3.2.2
Use data analysis tools and techniques to identify patterns in data representing complex systems
CS.3.3.1
Create computational models that represent the relationships among different elements of data collected from a phenomenon, process, or model
CS.4.1.1
Evaluate the ways computing impacts personal, ethical, social, economic, and cultural practices
  1. 5.10 Ethical and Social Implications of Computing
CS.4.1.2
Test and refine computational artifacts to reduce bias and equity deficits
CS.4.1.3
Demonstrate ways a given algorithm applies to problems across disciplines
  1. 5.10 Ethical and Social Implications of Computing
CS.4.1.4
Explain the potential impacts of artificial intelligence on society
  1. 5.10 Ethical and Social Implications of Computing
CS.4.2.1
Use tools and methods for collaboration on a project to increase connectivity of people in different cultures and career fields
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
  1. 7.7 Ethical Issues Around Data Collection
CS.4.3.3
Evaluate the social and economic implications of privacy in the context of safety, law, or ethics
  1. 7.7 Ethical Issues Around Data Collection
CS.5.1.1
Evaluate the scalability and reliability of networks, by describing the relationship between routers, switches, servers, topology, and addressing
CS.5.2.1
Illustrate how sensitive data can be affected by malware and other attacks
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