Standards in this Framework
Standards Mapped
Mapped to Course
| Standard | Lessons |
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7351.D1.1
Define and discuss different examples of level-appropriate quantitative and qualitative data. |
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7351.D1.2
Evaluate the tradeoffs in how data elements are organized and where data is stored. |
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7351.D1.3
Analyze and interpret data by identifying patterns and consider limitations of data analysis (e.g., measurement error, sample selection). |
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7351.D1.4
Design and implement a plan using data collection tools and techniques to collect appropriate data to answer a relevant research question. |
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7351.D1.5
Create interactive data visualizations using software tools to help others better understand real-world phenomena. |
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7351.D2.1
Compare and contrast concepts and uses of machine learning, deep learning, general artificial intelligence, and narrow artificial intelligence. |
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7351.D2.2
Investigate imbalances in training data in terms of gender, age, ethnicity, or other demographic variables that could result in a biased model, by using a data visualization tool. |
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7351.D2.3
Research and describe the risks and risk mitigation strategies associated with the implementation of artificial intelligence and machine learning in the real world (e.g., biased decision making, lethal autonomous weapons, social media echo chambers, surveillance). |
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7351.D2.4
Evaluate a dataset used to train a real AI system by considering the size of the dataset, the way that the data were acquired and labeled, the storage required, and the estimated time to produce the dataset. |
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7351.D2.5
Select the appropriate type of machine learning algorithm (supervised, unsupervised, or reinforcement learning) to solve a reasoning problem. |
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7351.D2.6
Use a learning algorithm to train a model on data collected to answer a relevant research question, then evaluate the results. |
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7351.D3.1
Analyze game elements of analog games (e.g., board, card, dice) and how those elements can be represented as algorithms for digital games. |
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7351.D3.2
Research and discuss best practices of user experience design for building video games and apps. |
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7351.D3.3
Document design decisions using text, graphics, presentations, and/or demonstrations in the development of games and applications. |
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7351.D3.4
Using the software application life cycle and prototype development model, develop a new application or game working in team roles using collaborative tools. |
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7351.D3.5
Develop and use a series of test cases to verify that a program performs according to its design specifications. |
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7351.D4.1
Examine the positive and negative impacts of a person/organization’s digital footprint. |
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7351.D4.2
Analyze the motives of threat actors. |
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7351.D4.3
Discuss the role that cyber ethics plays in current society. |
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7351.D4.4
Research and describe common attacks on hardware, software, and networks and identify methods of mitigating risk associated with each. |
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7351.D4.5
Evaluate authentication and authorization methods and the risks associated with failure. |
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7351.D4.6
Analyze the vulnerabilities of Internet of Things devices. |
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7351.D4.7
Utilizing cybersecurity best practices and the software development life cycle, make appropriate updates to a game or application design to protect it from vulnerabilities. |
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