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Missouri 9-10 Standards Mapping

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AP Computer Science Principles

36 Standards in this Framework 24 Standards Mapped 66% Mapped to Course


Standard Lessons
CS.D.01 Explain how abstractions hide the underlying implementation details of computing systems embedded in everyday objects.
  1. 2.9 Abstraction
CS.HS.01 Explain the abstraction and interactions between application software, system software and hardware.
  1. 9.1 Getting Started
CS.T.01 Develop, communicate and apply systematic troubleshooting strategies for correction of errors in computing systems.
  1. 2.16 Debugging Strategies
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. 12.4 DNS
  2. 12.5 Routing
NI.NCO.02 Describe the issues that impact network functionality (e.g., bandwidth, load, delay, topology).
  1. 12.2 Internet Hardware
NI.C.01 Compare physical and cybersecurity measures by evaluating trade-offs between the usability and security of a computing system.
  1. 12.8 Cybersecurity
NI.C.02 Illustrate how sensitive data can be affected by attacks.
  1. 12.8 Cybersecurity
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.
  1. 9.8 Data Compression
  2. 9.9 Lossy Compression
DA.S.01 Translate and compare different bit representations of data types, such as characters, numbers and images.
  1. 9.3 Encoding Text with Binary
  2. 9.4 Pixel Images
DA.CVT.02 Explain the insights and knowledge gained from digitally processed data by using appropriate visualizations, notions and precise language.
  1. 14.3 Data Collection & Limitations
DA.CVT.01 Create data visualizations to help others better understand real-world phenomena.
  1. 14.3 Data Collection & Limitations
DA.CVT.03 Evaluate and refine computational artifacts to make them more usable and accessible.
  1. 16.2 Prototype
  2. 16.3 Test
  3. 16.4 Project Prep and Development
DA.IM.01 Show the relationships between collected data elements using computational models.
  1. 8.8 Simulation
DA.IM.02 Refine computational models to better represent the relationships among different elements of data collected from a phenomenon or process.
  1. 8.8 Simulation
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).
  1. 5.1 Booleans
  2. 5.7 For Loop Practice
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. 8.1 Intro to Lists/Arrays
  2. 8.5 Iterating Over an Array
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.
  1. 2.7 Top Down Design and Decomposition in Karel
AP.M.02 Create computational artifacts (file, graphic, video, audio) by systematically organizing, manipulating and/or processing data.
  1. 15.1 Practice PT: Present a Data-Driven Insight
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. 2.7 Top Down Design and Decomposition in Karel
  2. 2.8 Commenting Your Code
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. 3.1 Practice PT: Pair-Programming Paint!
  2. 7.1 Practice PT: Tell a Story
  3. 10.1 Practice PT: Steganography
AP.PD.04 While collaborating in a team, develop, test and refine programs that solve practical problems or allow self-expression.
  1. 3.1 Practice PT: Pair-Programming Paint!
  2. 7.1 Practice PT: Tell a Story
AP.PD.05 Evaluate and refine computational artifacts to make them more user-friendly, efficient and/or accessible.
  1. 16.3 Test
  2. 16.4 Project Prep and Development
IC.C.01 Evaluate the ways computing impacts personal, ethical, social, economic and cultural practices.
  1. 12.9 The Impact of the Internet
IC.C.02 Test and refine computational artifacts to reduce bias and equity deficits.
  1. 16.3 Test
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.
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.