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Standards Mapping

for New York 9-12

33

Standards in this Framework

20

Standards Mapped

60%

Mapped to Course

Standard Lessons
9-12.CT.1
Create a simple digital model that makes predictions of outcomes.
  1. 3.8 Linear Regression
  2. 7.11 For Loops
  3. 7.12 Break and Continue
9-12.CT.10
Collaboratively design and develop a program or computational artifact for a specific audience and create documentation outlining implementation features to inform collaborators and users.
  1. 2.7 Interpret and Present
9-12.CT.2
Collect and evaluate data from multiple sources for use in a computational artifact.
  1. 4.3 Aggregating Data
  2. 4.4 Combining Datasets
9-12.CT.3
Refine and visualize complex data sets showing how to tell different stories with the same data set.
  1. 2.5 Data Cleaning
  2. 2.6 Exploring with Visualizations
9-12.CT.4
Implement a program using a combination of student-defined and third-party functions to organize the computation.
  1. 1.9 Using Functions
  2. 1.10 Mini-Project: Findings
9-12.CT.5
Modify a function or procedure in a program to perform its computation in a different way over the same inputs, while preserving the result of the overall program.
  1. 1.9 Using Functions
  2. 1.10 Mini-Project: Findings
  3. 7.11 For Loops
9-12.CT.6
Demonstrate how at least two classic algorithms work and analyze the trade-offs related to two or more algorithms for completing the same task.
  1. 1.5 Series and Central Tendency
  2. 1.6 Measures of Spread
9-12.CT.7
Design or remix a program that utilizes a data structure to maintain changes to related pieces of data.
  1. 2.5 Data Cleaning
9-12.CT.8
Develop a program that effectively uses control structures in order to create a computer program for practical intent, personal expression, or to address a societal issue.
  1. 1.8 Selecting Columns
  2. 2.6 Exploring with Visualizations
  3. 7.8 Comparison Operators
  4. 7.9 Logical Operators
  5. 7.11 For Loops
  6. 7.12 Break and Continue
9-12.CT.9
Systematically test and refine programs using a range of test cases, based on anticipating common errors and user behavior.
  1. 7.18 Exceptions
9-12.CY.1
Determine the types of personal and organizational information and digital resources that an individual may have access to that needs to be protected.
  1. 4.2 Quality Datasets
9-12.CY.2
Describe physical, digital, and behavioral safeguards that can be employed to protect the confidentiality, integrity, and accessibility of information.
9-12.CY.3
Explain specific trade-offs when selecting and implementing security recommendations.
9-12.CY.4
Evaluate applications of cryptographic methods.
9-12.CY.5
Recommend multiple actions to take prior and in response to various types of digital security breaches.
9-12.DL.1
Type proficiently on a keyboard.
9-12.DL.2
Communicate and work collaboratively with others using digital tools to support individual learning and contribute to the learning of others.
9-12.DL.4
Independently select advanced digital tools and resources to create, revise, and publish complex digital artifacts or collection of artifacts.
  1. 1.10 Mini-Project: Findings
  2. 2.6 Exploring with Visualizations
9-12.DL.5
Transfer knowledge of technology in order to use new and emerging technologies on multiple platforms.
  1. 1.4 Modules, Packages & Libraries
9-12.DL.6
Actively manage digital presence and footprint to reflect an understanding of the permanence and potential consequences of actions in online spaces.
9-12.DL.7
Design and implement strategies that support safety and security of digital information, personal identity, property, and physical and mental health when operating in the digital world.
  1. 2.1 Data Science for Change
9-12.IC.1
Evaluate the impact of computing technologies on equity, access, and influence in a global society.
  1. 2.1 Data Science for Change
  2. 2.2 Big Data and Bias
9-12.IC.2
Debate laws and regulations that impact the development and use of computing technologies and digital information.
9-12.IC.3
Debate issues of ethics related to real world computing technologies.
  1. 2.1 Data Science for Change
  2. 2.2 Big Data and Bias
9-12.IC.4
Assess personal and societal tradeoffs related to computing technologies and data privacy.
  1. 4.2 Quality Datasets
9-12.IC.5
Describe ways that complex computer systems can be designed for inclusivity and to mitigate unintended consequences.
  1. 2.2 Big Data and Bias
9-12.IC.6
Create accessible computational artifacts that meet standard compliance requirements or otherwise meet the needs of users with disabilities.
9-12.IC.7
Investigate the use of computer science in multiple fields.
  1. 1.1 What is Data Science?
9-12.NSD.1
Design a solution to a problem that utilizes embedded systems to automatically gather input from the environment.
9-12.NSD.2
Explain the levels of interaction existing between the application software, system software, and hardware of a computing system.
9-12.NSD.3
Develop and communicate multi-step troubleshooting strategies others can use to identify and fix problems with computing devices and their components.
  1. 7.18 Exceptions
9-12.NSD.4
Describe the components and design characteristics that allow data and information to be moved, stored and referenced over the Internet.
9-12.NSD.5
Describe how emerging technologies are impacting networks and how they are used.