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Standards Mapping

for Missouri 9-10


Standards in this Framework


Standards Mapped


Mapped to Course

Standard Lessons
Explain how abstractions hide the underlying implementation details of computing systems embedded in everyday objects.
  1. 2.9 Abstraction
Explain the abstraction and interactions between application software, system software and hardware.
  1. 9.1 Getting Started
Develop, communicate and apply systematic troubleshooting strategies for correction of errors in computing systems.
  1. 2.16 Debugging Strategies
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
Describe the issues that impact network functionality (e.g., bandwidth, load, delay, topology).
  1. 12.2 Internet Hardware
Compare physical and cybersecurity measures by evaluating trade-offs between the usability and security of a computing system.
  1. 12.8 Cybersecurity
Illustrate how sensitive data can be affected by attacks.
  1. 12.8 Cybersecurity
Recommend security measures to address various scenarios based on information security principles.
Explain trade-offs when selecting and implementing cybersecurity recommendations from multiple perspectives such as the user, enterprise and government.
Evaluate the trade-offs in how data is organized and stored digitally.
  1. 9.8 Data Compression
  2. 9.9 Lossy Compression
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
Explain the insights and knowledge gained from digitally processed data by using appropriate visualizations, notions and precise language.
  1. 14.3 Data Collection & Limitations
Create data visualizations to help others better understand real-world phenomena.
  1. 14.3 Data Collection & Limitations
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
Show the relationships between collected data elements using computational models.
  1. 8.8 Simulation
Refine computational models to better represent the relationships among different elements of data collected from a phenomenon or process.
  1. 8.8 Simulation
Create a prototype that uses algorithms (e.g., searching, sorting, finding shortest distance) to provide a possible solution for a real-world problem.
Create problem solutions that utilize primitive variables (e.g., strings, ints, Booleans, doubles).
  1. 5.1 Booleans
  2. 5.7 For Loop Practice
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
Apply the concepts of specific control structures (e.g., sequence, conditionals, repetition, procedures) considering program efficiencies such as readability, performance and memory usage.
Break down a solution into procedures using systematic analysis and design utilizing functional abstraction.
  1. 2.7 Top Down Design and Decomposition in Karel
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
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
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
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
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
Evaluate the ways computing impacts personal, ethical, social, economic and cultural practices.
  1. 12.9 The Impact of the Internet
Test and refine computational artifacts to reduce bias and equity deficits.
  1. 16.3 Test
Demonstrate how a given algorithm applies to problems across disciplines.
Demonstrate through collaboration on a project how computing increases connectivity among people of various cultures.
Explain how the degrees of communication afforded by computing have impacted the nature and content of career fields.
Explain the beneficial and harmful effects that intellectual property laws can have on innovation.
Explain the privacy concerns related to the collection and analysis of information about individuals that may not be evident to users.
Evaluate the social and economic consequences of how law and ethics interact with digital aspects of privacy, data, property, information and identity.
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.
Identify and explain the potential impacts and implications of emerging technologies on larger social economic and political structures with evidence from credible sources.