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Standards Mapping

for Missouri 9-10

36

Standards in this Framework

9

Standards Mapped

25%

Mapped to Course

Standard Lessons
CS.D.01
Explain how abstractions hide the underlying implementation details of computing systems embedded in everyday objects.
CS.HS.01
Explain the abstraction and interactions between application software, system software and hardware.
CS.T.01
Develop, communicate and apply systematic troubleshooting strategies for correction of errors in computing systems.
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).
  1. 3.1 Network Administrator
  2. 3.3 Protocols and Standards
NI.NCO.02
Describe the issues that impact network functionality (e.g., bandwidth, load, delay, topology).
  1. 3.1 Network Administrator
  2. 3.4 Private Networks
NI.C.01
Compare physical and cybersecurity measures by evaluating trade-offs between the usability and security of a computing system.
  1. 5.1 Network Attacks
  2. 5.4 Additional Attacks
  3. 8.2 Assessing Risks
  4. 8.3 Risk Response
NI.C.02
Illustrate how sensitive data can be affected by attacks.
  1. 5.2 Malware Types and Prevention
  2. 5.5 Cross-site Scripting
  3. 5.6 Internal Threats
NI.C.03
Recommend security measures to address various scenarios based on information security principles.
  1. 5.2 Malware Types and Prevention
  2. 5.3 Common Network Attacks
  3. 5.4 Additional Attacks
  4. 5.6 Internal Threats
  5. 8.2 Assessing Risks
NI.C.04
Explain trade-offs when selecting and implementing cybersecurity recommendations from multiple perspectives such as the user, enterprise and government.
  1. 8.2 Assessing Risks
  2. 8.3 Risk Response
DA.S.02
Evaluate the trade-offs in how data is organized and stored digitally.
  1. 7.4 Level 4: Data and Licenses
DA.S.01
Translate and compare different bit representations of data types, such as characters, numbers and images.
DA.CVT.02
Explain the insights and knowledge gained from digitally processed data by using appropriate visualizations, notions and precise language.
DA.CVT.01
Create data visualizations to help others better understand real-world phenomena.
DA.CVT.03
Evaluate and refine computational artifacts to make them more usable and accessible.
DA.IM.01
Show the relationships between collected data elements using computational models.
DA.IM.02
Refine computational models to better represent the relationships among different elements of data collected from a phenomenon or process.
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.
AP.V.01
Create problem solutions that utilize primitive variables (e.g., strings, ints, Booleans, doubles).
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.
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.
AP.M.01
Break down a solution into procedures using systematic analysis and design utilizing functional abstraction.
AP.M.02
Create computational artifacts (file, graphic, video, audio) by systematically organizing, manipulating and/or processing data.
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.
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.
AP.PD.04
While collaborating in a team, develop, test and refine programs that solve practical problems or allow self-expression.
AP.PD.05
Evaluate and refine computational artifacts to make them more user-friendly, efficient and/or accessible.
IC.C.01
Evaluate the ways computing impacts personal, ethical, social, economic and cultural practices.
IC.C.02
Test and refine computational artifacts to reduce bias and equity deficits.
IC.C.03
Demonstrate how a given algorithm applies to problems across disciplines.
IC.SI.01
Demonstrate through collaboration on a project how computing increases connectivity among people of various cultures.
IC.SI.02
Explain how the degrees of communication afforded by computing have impacted the nature and content of career fields.
IC.SLE.01
Explain the beneficial and harmful effects that intellectual property laws can have on innovation.
IC.SLE.02
Explain the privacy concerns related to the collection and analysis of information about individuals that may not be evident to users.
  1. 7.4 Level 4: Data and Licenses
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.
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.
  1. 7.4 Level 4: Data and Licenses
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.