# 33

Standards in this Framework

Standards Mapped

# 45%

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. 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
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. 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
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
1. 13.8 Functions
2. 13.13 Parameters
CS.1.4.2
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
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. 13.19 Putting Together Control Structures
CS.1.5.5
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
4. 13.10 Top Down Design
CS.2.1.1
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
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
2. 13.10 Top Down Design
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
1. 6.2 Number Systems
2. 6.3 Encoding Text with Binary
3. 6.4 Pixel Images
CS.3.1.2
Evaluate the tradeoffs in how data elements are organized and where data is stored
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. 2.5 Future of Computing
2. 7.7 The Impact of the Internet
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
CS.4.1.4
Explain the potential impacts of artificial intelligence on society
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
1. 9.6 Creative Credit & Copyright
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. 9.1 Digital Footprint and Reputation
2. 9.4 Privacy & Security
CS.4.3.3
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
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
1. 15.2 What is Cybersecurity?
2. 15.3 Impact of Cybersecurity
CS.5.2.2
Recommend security measures to address various scenarios based on factors such as efficiency, feasibility, and ethical impacts
1. 9.4 Privacy & Security
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