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Standards Mapping

for Rhode Island 9-12

34

Standards in this Framework

28

Standards Mapped

82%

Mapped to Course

Standard Lessons
3-CT-A-1
Create computational artifacts that use algorithms to solve computational problems by leveraging prior knowledge and personal interests.
  1. 30.1 Let's Build Mastermind
3-CT-V-1
Explain the role of a variable within a program, and the scope in which its name and value can be used.
  1. 3.4 Variables
3-CT-D-1
Create a program that processes a collection of data.
  1. 7.1 Tuples
  2. 7.2 Lists
  3. 7.3 For Loops and Lists
  4. 7.4 List Methods
  5. 7.5 Simulation
  6. 13.1 Getting Started with Data
  7. 13.2 Visualizing and Interpreting Data
  8. 13.3 Data Collection & Limitations
  9. 32.1 Practice PT: The Shopping List
3-CT-C-1
Create and justify the selection of specific control structures when tradeoffs involve code organization, readability, and program performance and explain the benefits and drawbacks of choices made.
  1. 1.11 If Statements
  2. 1.13 While Loops in Karel
  3. 1.14 Control Structures Example
  4. 1.18 Karel Challenges
  5. 4.4 If Statements
  6. 4.5 Key Events
  7. 4.6 For Loops in Python
  8. 4.7 General For Loops
  9. 4.8 For Loop Practice
  10. 4.10 While Loops
3-CT-M-1
Identify existing computational artifacts that can be used for the subtasks of a decomposed problem
  1. 1.6 Top Down Design and Decomposition in Karel
3-CT-M-2
Create computational artifacts by incorporating predefined procedures, self-defined procedures and external artifacts.
  1. 5.1 Functions and Parameters 1
  2. 5.2 Functions and Parameters 2
  3. 5.3 Functions and Parameters 3
  4. 5.4 Functions and Return Values 1
  5. 5.5 Functions and Return Values 2
3-CT-CD-1
Systematically design and implement computational artifacts for targeted audiences by incorporating feedback from users.
  1. 18.1 Intro to Design Thinking
  2. 18.2 Prototype
  3. 18.3 Test
  4. 18.4 Project Prep and Development
3-CT-CD-2
Systematically test and refine programs using a range of test cases.
  1. 3.6 Basic Math in Python
  2. 33.5 The in Keyword
3-CT-CD-3
Document computational artifacts in order to make them easier to follow, test, and debug.
  1. 1.7 Commenting Your Code
  2. 2.1 Practice PT: Pair-Programming Paint!
3-CSN-H-1
Analyze a computing system and explain how abstractions simplify the underlying implementation details embedded in everyday objects.
  1. 1.8 Abstraction
  2. 1.9 Super Karel
  3. 1.17 Ultra Karel
  4. 5.8 Python vs Karel
  5. 8.1 Intro to Digital Information
3-CSN-HS-1
Compare levels of abstraction and interactions between application software, system software, and hardware layers.
  1. 8.1 Intro to Digital Information
  2. 8.3 Encoding Text with Binary
3-CSN-T-1
Develop and communicate troubleshooting strategies others can use to identify and fix errors.
  1. 1.5 Functions in Karel
  2. 1.15 Debugging Strategies
3-CSN-N-1
Identify the various elements of a network and describe how they function and interact to transfer information.
  1. 11.2 Internet Hardware
  2. 11.6 Routing
3-CY-R-1
Explain the privacy concerns related to the collection and generation of data through automated processes that may not be evident to users.
  1. 11.9 Cybersecurity
3-CY-R-2
Analyze an existing or proposed application to identify the potential ways it could be used to obtain sensitive information.
  1. 11.9 Cybersecurity
3-CY-R-3
Explain how the digital security of an organization may be affected by the actions of its employees.
  1. 11.9 Cybersecurity
3-CY-S-1
Recommend security measures to address various scenarios based on factors such as efficiency, feasibility, and ethical impacts.
  1. 11.9 Cybersecurity
3-CY-S-2
Explain tradeoffs when selecting and implementing cybersecurity recommendations.
  1. 11.9 Cybersecurity
3-CY-RP-1
Describe the appropriate actions to take in response to detected security breaches.
  1. 11.9 Cybersecurity
3-DA-CVT-1
Select appropriate data-collection tools and presentation techniques for different types of data.
  1. 13.2 Visualizing and Interpreting Data
  2. 13.3 Data Collection & Limitations
3-DA-IM-1
Create computational models that represent the relationships among different elements of data collected from a phenomenon or process.
  1. 7.5 Simulation
3-DA-IM-2
Discuss potential hidden biases that could be introduced while collecting a dataset and how these biases could affect analysis conclusions.
  1. 13.3 Data Collection & Limitations
3-DA-IM-3
Evaluate the ability of models and simulations to test and support the refinement of hypotheses.
  1. 7.5 Simulation
3-DA-ST-1
Explain tradeoffs between storing data locally or in central, cloud-based systems.
3-DA-ST-2
Translate data for various real-world phenomena, such as characters, numbers, and images, into bits.
  1. 8.3 Encoding Text with Binary
  2. 8.4 Pixel Images
3-DL-CU-1
Select appropriate software tools or resources to create a complex artifact or solve a problem.
3-DL-SDI-1
Decompose a complex problem into multiple questions, identify which can be explored through digital sources, and synthesize query results using a variety of software tools.
3-DL-US-1
Describe different kinds of computations that software tools perform to tailor a system to individual users.
3-RC-CU-1
Evaluate the ways computing impacts personal, ethical, social, economic, and cultural practices.
  1. 11.10 The Impact of the Internet
  2. 12.1 The Effects of the Internet
3-RC-CU-2
Design and analyze computational artifacts to reduce bias and equity deficits.
  1. 11.10 The Impact of the Internet
3-RC-CU-3
Evaluate the impact of equity, access, and influence on the distribution of computing resources in a global society.
  1. 11.10 The Impact of the Internet
3-RC-SLE-1
Evaluate the impact of intellectual property laws on the use of digital information.
  1. 11.11 Creative Credit & Copyright
3-RC-SLE-2
Evaluate the social and economic implications of privacy and free speech in the context of safety, law, or ethics.
3-RC-SI-1
Use tools and methods for collaboration on a project to increase connectivity between people in different cultures and career fields.