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Ohio 9-12 Foundational Framework


Standard Description
CS.D.9-12.F.a Identify different multifunctional computing devices and connection technologies, both virtual and physical, to describe their purpose. Lessons
CS.D.9-12.F.b Develop and apply criteria to evaluate computing systems for a given purpose. Lessons
CS.D.9-12.F.c Create an artifact to demonstrate the roles and interactions of computing systems embedded in everyday objects. Lessons
CS.D.9-12.F.d Evaluate alternative computing architectures for emerging technologies, including cluster and quantum computing. Lessons
CS.HS.9-12.F.a Compare and contrast interactions between application software, system software and hardware. Lessons
CS.T.9-12.F.a Apply a systemic process to identify problems and take steps to correct them within an integrated computing system. Lessons
CS.T.9-12.F.b Analyze an IT device to determine either what repairs are needed or how to build it. Lessons
NI.N.9-12.F.a Evaluate and select networking devices to establish scalable communications. Lessons
NI.N.9-12.F.b Evaluate and select networking protocols for classical, clustered and quantum computing to establish network communication. Lessons
NI.N.9-12.F.c Understand scalability and reliability of networks to describe the relationships and effects of how the different types of networks work together. Lessons
NI.C.9-12.F.a Examine and employ principles of cybersecurity. Lessons
NI.C.9-12.F.b Identify physical, social and digital security risks to address possible attacks from both existing and emergent technologies, including cluster computing and quantum key distribution. Lessons
NI.C.9-12.F.c Compare and contrast examples of various threat actors, such as nation-states, cyber terrorist groups, organized crime or hacktivists. Lessons
NI.C.9-12.F.d Explore and utilize examples of encryption methods, e.g., Vigenere, Bacon’s cipher, and Enigma. Lessons
NI.IOT.9-12.F.a 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. Lessons
NI.IOT.9-12.F.b Explore and plan career pathways related to IoT to identify careers associated with the computer science field. Lessons
DA.DCS.9-12.F.a Analyze patterns in a real-world data store through hypothesis, testing and use of data tools to gain insight and knowledge. Lessons
DA.DCS.9-12.F.b Investigate data storage systems to compare and contrast how data is stored and accessed. Lessons
DA.VC.9-12.F.a 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. Lessons
DA.IM.9-12.F.a Evaluate a model by creating a hypothesis, testing it and refining it to discover connections and trends in the data. Lessons
ATP.A.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. Lessons
ATP.A.9-12.F.b Define and implement an algorithm by decomposing problem requirements from a problem statement to solve a problem. Lessons
ATP.A.9-12.F.c Define and explain iterative algorithms to understand how and when to apply them. Lessons
ATP.A.9-12.F.d Define and explain recursive algorithms to understand how and when to apply them. Lessons
ATP.VDR.9-12.F.a Identify types of variables and data and utilize them to create a computer program that stores data in appropriate ways. Lessons
ATP.CS.9-12.F.a Define control structures and Boolean logic and use them to solve real-world scenarios. Lessons
ATP.CS.9-12.F.b Use appropriate syntax to create and use a method. Lessons
ATP.CS.9-12.F.c Use data scoping to isolate data. Lessons
ATP.M.9-12.F.a Break down a solution into procedures using systematic analysis and design. Lessons
ATP.M.9-12.F.b Create computational artifacts by systematically organizing, manipulating and/or processing data Lessons
ATP.PD.9-12.F.a Investigate software development methodologies to select the appropriate one for a project to complete as a team. Lessons
ATP.PD.9-12.F.b Compare test methodologies to evaluate why each is used and to determine their benefits and costs. Lessons
ATP.PD.9-12.F.c Correctly use consistent naming conventions, version control and comments to demonstrate why these are important for future use, maintenance and reuse of code. Lessons
AI.P.9-12.F.a Explain how radar, lidar, GPS and accelerometer data are represented. Lessons
AI.P.9-12.F.b Describe the limitations and advantages of various types of computer sensors. Lessons
AI.RR.9-12.F.a Categorize real-world problems as classification, prediction, sequential decision problems, combination search, heuristic search, adversarial search, logical deduction or statistical inference. Lessons
AI.RR.9-12.F.b 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. Lessons
AI.RR.9-12.F.c Describe the differences between types of search algorithms. Lessons
AI.ML.9-12.F.a Illustrate what happens during each of the steps required when using machine learning to construct a classifier or predictor. Lessons
AI.ML.9-12.F.b Use either a supervised or unsupervised learning algorithm to train a model on real-world data, then evaluate the results. Lessons
AI.NI.9-12.F.a 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. Lessons
AI.NI.9-12.F.b Demonstrate how sentence parsers handle ambiguity. Lessons
AI.NI.9-12.F.c Describe how artificial intelligence drives many software and physical systems. Lessons
AI.SI.9-12.F.a Critically explore the positive and negative impacts of an AI system. Lessons
IC.Cu.9-12.F.a Analyze new technology to predict realistic impacts on society. Lessons
IC.Cu.9-12.F.b Identify how existing and emerging computing architecture has and will impact other professions, both positively and negatively. Lessons
IC.SI.9-12.F.a Evaluate tools to increase connectivity of people in different cultures and career fields. Lessons
IC.SI.9-12.F.b Analyze the collection and generation of data through automated processes to explain the privacy concerns that are not always evident to users. Lessons
IC.SLE.9-12.F.a Interpret and analyze breaches in privacy and security to investigate the legal and ethical impact. Lessons
IC.SLE.9-12.F.b Analyze the concepts of usability and security to explain typical tradeoffs between them. Lessons
IC.SLE.9-12.F.c Analyze the collection and generation of data through automated processes to explain the legal concerns that are not always evident to users. Lessons
IC.SLE.9-12.F.d Explain the beneficial and harmful effects of intellectual property laws to determine the impacts on innovation. Lessons