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Standards Mapping

for New York 9-12

33

Standards in this Framework

10

Standards Mapped

30%

Mapped to Course

Standard Lessons
9-12.CT.1
Create a simple digital model that makes predictions of outcomes.
  1. 1.2 Artificial Intelligence and Machine Learning
  2. 2.3 Selecting Valid Datasets
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.
9-12.CT.2
Collect and evaluate data from multiple sources for use in a computational artifact.
9-12.CT.3
Refine and visualize complex data sets showing how to tell different stories with the same data set.
  1. 1.3 Machine Learning and Neural Networks
9-12.CT.4
Implement a program using a combination of student-defined and third-party functions to organize the computation.
  1. 2.1 Introduction to TensorFlow
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.
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.
9-12.CT.7
Design or remix a program that utilizes a data structure to maintain changes to related pieces of data.
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.
9-12.CT.9
Systematically test and refine programs using a range of test cases, based on anticipating common errors and user behavior.
  1. 2.1 Introduction to TensorFlow
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.
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. 4.1 Final Project
9-12.DL.5
Transfer knowledge of technology in order to use new and emerging technologies on multiple platforms.
  1. 1.1 Introduction to Artificial Intelligence
  2. 2.2 Creating an Image Prediction Model
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.
9-12.IC.1
Evaluate the impact of computing technologies on equity, access, and influence in a global society.
  1. 1.4 The Ethics of Artificial Intelligence
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. 1.4 The Ethics of Artificial Intelligence
9-12.IC.4
Assess personal and societal tradeoffs related to computing technologies and data privacy.
9-12.IC.5
Describe ways that complex computer systems can be designed for inclusivity and to mitigate unintended consequences.
  1. 1.4 The Ethics of Artificial Intelligence
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. 1.2 Artificial Intelligence and Machine Learning
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.
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.