Grades 9-12 Foundational

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Evaluate and select networking devices to establish scalable communications.NI.N.9-12.F.a

Evaluate and select networking protocols for classical, clustered and quantum computing to establish network communication.NI.N.9-12.F.b

Understand scalability and reliability of networks to describe the relationships and effects of how the different types of networks work together.NI.N.9-12.F.c

Examine and employ principles of cybersecurity.NI.C.9-12.F.a

Identify physical, social and digital security risks to address possible attacks from both existing and emergent technologies, including cluster computing and quantum key distribution.NI.C.9-12.F.b

Compare and contrast examples of various threat actors, such as nation-states, cyber terrorist groups, organized crime or hacktivists.NI.C.9-12.F.c

Explore and utilize examples of encryption methods, e.g., Vigenere, Bacon’s cipher, and Enigma.NI.C.9-12.F.d

Design an IoT life cycle scenario that encompasses data gathering, transmission, reception and data analysis to demonstrate how the IoT operates and apply these skills to design products that model the process.NI.IOT.9-12.F.a

Explore and plan career pathways related to IoT to identify careers associated with the computer science field.NI.IOT.9-12.F.b

Analyze patterns in a real-world data store through hypothesis, testing and use of data tools to gain insight and knowledge.DA.DCS.9-12.F.a

Investigate data storage systems to compare and contrast how data is stored and accessed.DA.DCS.9-12.F.b

Analyze the benefits and limitations of data visualization or multisensory artifacts and tools to communicate which is most appropriate to solve a real-world problem.DA.VC.9-12.F.a

Evaluate a model by creating a hypothesis, testing it and refining it to discover connections and trends in the data.DA.IM.9-12.F.a

Define and use appropriate problem solving strategies and visual artifacts to create and refine a solution to a real-world problem.ATP.A.9-12.F.a

Define and implement an algorithm by decomposing problem requirements from a problem statement to solve a problem. ATP.A.9-12.F.b

Define and explain iterative algorithms to understand how and when to apply them.ATP.A.9-12.F.c

Define and explain recursive algorithms to understand how and when to apply them.ATP.A.9-12.F.d

Identify types of variables and data and utilize them to create a computer program that stores data in appropriate ways.ATP.VDR.9-12.F.a

Define control structures and Boolean logic and use them to solve real-world scenarios. ATP.CS.9-12.F.a

Use appropriate syntax to create and use a method.ATP.CS.9-12.F.b

Use data scoping to isolate data.ATP.CS.9-12.F.c

Break down a solution into procedures using systematic analysis and design.ATP.M.9-12.F.a

Create computational artifacts by systematically organizing, manipulating and/or processing data.ATP.M.9-12.F.b

Investigate software development methodologies to select the appropriate one for a project to complete as a teamATP.PD.9-12.F.a

Compare test methodologies to evaluate why each is used and to determine their benefits and costs. ATP.PD.9-12.F.b

Correctly use consistent naming conventions, version control and comments to demonstrate why these are important for future use, maintenance and reuse of code.ATP.PD.9-12.F.c

Explain how radar, lidar, GPS and accelerometer data are represented.AI.P.9-12.F.a

Describe the limitations and advantages of various types of computer sensors.AI.P.9-12.F.b

Categorize real-world problems as classification, prediction, sequential decision problems, combination search, heuristic search, adversarial search, logical deduction or statistical inference.AI.RR.9-12.F.a

For each of these types of reasoning problems (classification, prediction, sequential decision-making, combinatorial search, heuristic search, adversarial search, logical deduction and statistical inference), list an algorithm that could be used to solve that problem.AI.RR.9-12.F.b

Describe the differences between types of search algorithms.AI.RR.9-12.F.c

Illustrate what happens during each of the steps required when using machine learning to construct a classifier or predictor.AI.ML.9-12.F.a

Use either a supervised or unsupervised learning algorithm to train a model on real-world data, then evaluate the results.AI.ML.9-12.F.b

Construct context-free grammar to parse simple languages and use language-processing tools to construct a chatbot. Use sentiment analysis tools to extract emotional tone from text.AI.NI.9-12.F.a

Demonstrate how sentence parsers handle ambiguity.AI.NI.9-12.F.b

Describe how artificial intelligence drives many software and physical systems.AI.NI.9-12.F.c

Critically explore the positive and negative impacts of an AI system.AI.SI.9-12.F.a

Analyze new technology to predict realistic impacts on society.IC.Cu.9-12.F.a

Identify how existing and emerging computing architecture has and will impact other professions, both positively and negatively.IC.Cu.9-12.F.b

Evaluate tools to increase connectivity of people in different cultures and career fields.IC.SI.9-12.F.a

Analyze the collection and generation of data through automated processes to explain the privacy concerns that are not always evident to users.IC.SI.9-12.F.b

Interpret and analyze breaches in privacy and security to investigate the legal and ethical impact in classical and emerging technologies.IC.SLE.9-12.F.a

Analyze the concepts of usability and security to explain typical tradeoffs between them.IC.SLE.9-12.F.b

Analyze the collection and generation of data through automated processes to explain the legal concerns that are not always evident to users.IC.SLE.9-12.F.c

Explain the beneficial and harmful effects of intellectual property laws to determine the impacts on innovation.IC.SLE.9-12.F.d