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Standards Mapping

for New Jersey Computer Science and Design Thinking

44

Standards in this Framework

14

Standards Mapped

31%

Mapped to Course

Standard Lessons
8.1.12.AP.1
Design algorithms to solve computational problems using a combination of original and existing algorithms.
8.1.12.AP.2
Create generalized computational solutions using collections instead of repeatedly using simple variables.
  1. 1.3 Exploring Data Using Python
  2. 1.7 Pandas DataFrames
8.1.12.AP.3
Create generalized computational solutions using collections instead of repeatedly using simple variables.
  1. 1.3 Exploring Data Using Python
  2. 1.7 Pandas DataFrames
8.1.12.AP.4
Design and iteratively develop computational artifacts for practical intent, personal expression, or to address a societal issue.
  1. 2.1 Data Science for Change
8.1.12.AP.5
Decompose problems into smaller components through systematic analysis, using constructs such as procedures, modules, and/or objects.
  1. 1.4 Modules, Packages & Libraries
8.1.12.AP.6
Create artifacts by using procedures within a program, combinations of data and procedures, or independent but interrelated programs.
  1. 1.9 Using Functions
8.1.12.AP.7
Collaboratively design and develop programs and artifacts for broad audiences by incorporating feedback from users.
  1. 2.1 Data Science for Change
  2. 3.10 Telling Your Story
8.1.12.AP.8
Evaluate and refine computational artifacts to make them more usable and accessible.
8.1.12.AP.9
Collaboratively document and present design decisions in the development of complex programs.
8.1.12.CS.1
Describe ways in which integrated systems hide underlying implementation details to simplify user experiences.
8.1.12.CS.2
Model interactions between application software, system software, and hardware.
8.1.12.CS.3
Compare the functions of application software, system software, and hardware.
8.1.12.CS.4
Develop guidelines that convey systematic troubleshooting strategies that others can use to identify and fix errors.
8.1.12.DA.1
Create interactive data visualizations using software tools to help others better understand real world phenomena, including climate change.
  1. 2.1 Data Science for Change
  2. 2.6 Exploring with Visualizations
8.1.12.DA.2
Describe the trade-offs in how and where data is organized and stored
8.1.12.DA.3
Translate between decimal numbers and binary numbers.
8.1.12.DA.4
Explain the relationship between binary numbers and the storage and use of data in a computing device.
8.1.12.DA.5
Create data visualizations from large data sets to summarize, communicate, and support different interpretations of real-world phenomena.
  1. 2.7 Interpret and Present
  2. 3.3 Data Visualizations
  3. 4.6 Bias in Data Analytics
  4. 4.7 Business Report
8.1.12.DA.6
Create and refine computational models to better represent the relationships among different elements of data collected from a phenomenon or process.
  1. 2.5 Data Cleaning
  2. 2.7 Interpret and Present
  3. 4.6 Bias in Data Analytics
8.1.12.IC.1
Evaluate the ways computing impacts personal, ethical, social, economic, and cultural practices.
  1. 2.1 Data Science for Change
  2. 2.2 Big Data and Bias
  3. 4.1 Data Science for Business
8.1.12.IC.2
Test and refine computational artifacts to reduce bias and equity deficits.
  1. 2.2 Big Data and Bias
8.1.12.IC.3
Predict the potential impacts and implications of emerging technologies on larger social, economic, and political structures, using evidence from credible sources.
  1. 2.2 Big Data and Bias
8.1.12.NI.1
Evaluate the scalability and reliability of networks, by describing the relationship between routers, switches, servers, topology, and addressing.
8.1.12.NI.2
Evaluate security measures to address various common security threats
8.1.12.NI.3
Explain how the needs of users and the sensitivity of data determine the level of security implemented
8.1.12.NI.4
Explain how decisions on methods to protect data are influenced by whether the data is at rest, in transit, or in use.
8.2.12.EC.1
Analyze controversial technological issues and determine the degree to which individuals, businesses, and governments have an ethical role in decisions that are made.
8.2.12.EC.2
Assess the positive and negative impacts of emerging technologies on developing countries and evaluate how individuals, non-profit organizations, and governments have responded.
8.2.12.EC.3
Synthesize data, analyze trends, and draw conclusions regarding the effect of a technology on the individual, culture, society, and environment and share this information with the appropriate audience.
8.2.12.EC.4
Research historical tensions between environmental and economic considerations as driven by human needs and wants in the development of a technological product and present the competing viewpoints
  1. 2.1 Data Science for Change
  2. 2.7 Interpret and Present
8.2.12.ED.1
Use research to design and create a product or system that addresses a problem and make modifications based on input from potential consumers.
8.2.12.ED.2
Create scaled engineering drawings for a new product or system and make modification to increase optimization based on feedback.
8.2.12.ED.3
Evaluate several models of the same type of product and make recommendations for a new design based on a cost benefit analysis.
8.2.12.ED.4
Design a product or system that addresses a global problem and document decisions made based on research, constraints, trade-offs, and aesthetic and ethical considerations and share this information with an appropriate audience.
8.2.12.ED.5
Evaluate the effectiveness of a product or system based on factors that are related to its requirements, specifications, and constraints (e.g., safety, reliability, economic considerations, quality control, environmental concerns, manufacturability, maintenance and repair, ergonomics).
8.2.12.ED.6
Analyze the effects of changing resources when designing a specific product or system (e.g., materials, energy, tools, capital, labor).
8.2.12.ETW.1
Evaluate ethical considerations regarding the sustainability of environmental resources that are used for the design, creation, and maintenance of a chosen product.
8.2.12.ETW.2
Synthesize and analyze data collected to monitor the effects of a technological product or system on the environment.
8.2.12.ETW.3
Identify a complex, global environmental or climate change issue, develop a systemic plan of investigation, and propose an innovative sustainable solution.
8.2.12.ITH.1
Analyze a product to determine the impact that economic, political, social, and/or cultural factors have had on its design, including its design constraints.
8.2.12.ITH.2
Propose an innovation to meet future demands supported by an analysis of the potential costs, benefits, trade-offs, and risks related to the use of the innovation
8.2.12.ITH.3
Analyze the impact that globalization, social media, and access to open source technologies has had on innovation and on a society’s economy, politics, and culture.
8.2.12.NT.1
Explain how different groups can contribute to the overall design of a product.
  1. 4.1 Data Science for Business
8.2.12.NT.2
Redesign an existing product to improve form or function.