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Missouri 9-10 Framework


Standard Description
CS.D.01 Explain how abstractions hide the underlying implementation details of computing systems embedded in everyday objects. Lessons
CS.HS.01 Explain the abstraction and interactions between application software, system software and hardware. Lessons
CS.T.01 Develop, communicate and apply systematic troubleshooting strategies for correction of errors in computing systems. Lessons
NI.NCO.01 Evaluate the scalability and reliability of networks by identifying and illustrating the basic components of computer networks (e.g., routers, switches, servers) and network protocols (e.g., IP, DNS). Lessons
NI.NCO.02 Describe the issues that impact network functionality (e.g., bandwidth, load, delay, topology). Lessons
NI.C.01 Compare physical and cybersecurity measures by evaluating trade-offs between the usability and security of a computing system. Lessons
NI.C.02 Illustrate how sensitive data can be affected by attacks. Lessons
NI.C.03 Recommend security measures to address various scenarios based on information security principles. Lessons
NI.C.04 Explain trade-offs when selecting and implementing cybersecurity recommendations from multiple perspectives such as the user, enterprise and government. Lessons
DA.S.02 Evaluate the trade-offs in how data is organized and stored digitally. Lessons
DA.S.01 Translate and compare different bit representations of data types, such as characters, numbers and images. Lessons
DA.CVT.02 Explain the insights and knowledge gained from digitally processed data by using appropriate visualizations, notions and precise language. Lessons
DA.CVT.01 Create data visualizations to help others better understand real-world phenomena. Lessons
DA.CVT.03 Evaluate and refine computational artifacts to make them more usable and accessible. Lessons
DA.IM.01 Show the relationships between collected data elements using computational models. Lessons
DA.IM.02 Refine computational models to better represent the relationships among different elements of data collected from a phenomenon or process. Lessons
AP.A.01 Create a prototype that uses algorithms (e.g., searching, sorting, finding shortest distance) to provide a possible solution for a real-world problem. Lessons
AP.V.01 Create problem solutions that utilize primitive variables (e.g., strings, ints, Booleans, doubles). Lessons
AP.V.02 Demonstrate the use of advanced variables (e.g., lists, arrays, objects) to simplify solutions, generalizing computational problems instead of repeatedly using primitive variables. Lessons
AP.C.01 Apply the concepts of specific control structures (e.g., sequence, conditionals, repetition, procedures) considering program efficiencies such as readability, performance and memory usage. Lessons
AP.M.01 Break down a solution into procedures using systematic analysis and design utilizing functional abstraction. Lessons
AP.M.02 Create computational artifacts (file, graphic, video, audio) by systematically organizing, manipulating and/or processing data. Lessons
AP.PD.01 Using visual aids and documentation, illustrate the design elements and data flow (e.g., flowcharts, pseudocode) of the development of a program. Lessons
AP.PD.02 Create a program by analyzing a problem and/or process, developing and documenting a solution, testing outcomes, debugging errors and adapting the program for a variety of users. Lessons
AP.PD.04 While collaborating in a team, develop, test and refine programs that solve practical problems or allow self-expression. Lessons
AP.PD.05 Evaluate and refine computational artifacts to make them more user-friendly, efficient and/or accessible. Lessons
IC.C.01 Evaluate the ways computing impacts personal, ethical, social, economic and cultural practices. Lessons
IC.C.02 Test and refine computational artifacts to reduce bias and equity deficits. Lessons
IC.C.03 Demonstrate how a given algorithm applies to problems across disciplines. Lessons
IC.SI.01 Demonstrate through collaboration on a project how computing increases connectivity among people of various cultures. Lessons
IC.SI.02 Explain how the degrees of communication afforded by computing have impacted the nature and content of career fields. Lessons
IC.SLE.01 Explain the beneficial and harmful effects that intellectual property laws can have on innovation. Lessons
IC.SLE.02 Explain the privacy concerns related to the collection and analysis of information about individuals that may not be evident to users. Lessons
IC.SLE.03 Evaluate the social and economic consequences of how law and ethics interact with digital aspects of privacy, data, property, information and identity. Lessons
AP.SLE.04 Define and classify a variety of software licensing schemes (e.g., open source, freeware, commercial) and discuss the advantages and disadvantages of each scheme in software development. Lessons
IC.SLE.05 Identify and explain the potential impacts and implications of emerging technologies on larger social economic and political structures with evidence from credible sources. Lessons