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Standards Mapping

for Missouri 9-10

36

Standards in this Framework

18

Standards Mapped

50%

Mapped to Course

Standard Lessons
CS.D.01
Explain how abstractions hide the underlying implementation details of computing systems embedded in everyday objects.
  1. 2.4 Calling a Void Method
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.
  1. 5.3 Documentation with Comments
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).
NI.NCO.02
Describe the issues that impact network functionality (e.g., bandwidth, load, delay, topology).
NI.C.01
Compare physical and cybersecurity measures by evaluating trade-offs between the usability and security of a computing system.
NI.C.02
Illustrate how sensitive data can be affected by attacks.
NI.C.03
Recommend security measures to address various scenarios based on information security principles.
NI.C.04
Explain trade-offs when selecting and implementing cybersecurity recommendations from multiple perspectives such as the user, enterprise and government.
DA.S.02
Evaluate the trade-offs in how data is organized and stored digitally.
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.
  1. 7.4 Developing Algorithms using ArrayLists
  2. 19.1 Magpie Lab
  3. 20.1 Picture Lab
DA.IM.01
Show the relationships between collected data elements using computational models.
  1. 7.6 Sorting
  2. 8.2 Traversing 2D Arrays
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.
  1. 7.6 Sorting
  2. 10.2 Recursive Searching
  3. 10.3 Recursive Sorting
  4. 11.2 Recursive Searching
  5. 11.3 Recursive Sorting
AP.V.01
Create problem solutions that utilize primitive variables (e.g., strings, ints, Booleans, doubles).
  1. 1.2 Variables and Data Types
  2. 3.1 Boolean Expressions and if Statements
  3. 3.2 if Statements and Control Flow
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.
  1. 6.1 Array
  2. 7.1 ArrayList
  3. 8.1 2D Arrays
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.
  1. 4.1 Iteration
  2. 4.2 For Loops
  3. 4.4 Nested Iteration
  4. 10.1 Recursion
AP.M.01
Break down a solution into procedures using systematic analysis and design utilizing functional abstraction.
  1. 5.8 Scope and Access
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.
  1. 3.2 if Statements and Control Flow
  2. 5.8 Scope and Access
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.
  1. 5.3 Documentation with Comments
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.
  1. 7.5 Searching
  2. 7.6 Sorting
  3. 10.2 Recursive Searching
  4. 10.3 Recursive Sorting
  5. 11.2 Recursive Searching
  6. 11.3 Recursive Sorting
IC.C.01
Evaluate the ways computing impacts personal, ethical, social, economic and cultural practices.
  1. 5.10 Ethical and Social Implications of Computing
IC.C.02
Test and refine computational artifacts to reduce bias and equity deficits.
  1. 5.10 Ethical and Social Implications of Computing
IC.C.03
Demonstrate how a given algorithm applies to problems across disciplines.
  1. 5.10 Ethical and Social Implications of Computing
IC.SI.01
Demonstrate through collaboration on a project how computing increases connectivity among people of various cultures.
  1. 5.10 Ethical and Social Implications of Computing
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. 7.7 Ethical Issues Around Data Collection
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.
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.
  1. 5.10 Ethical and Social Implications of Computing