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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. 2.8 Abstraction
  2. 2.9 Super Karel
Explain the abstraction and interactions between application software, system software and hardware.
Develop, communicate and apply systematic troubleshooting strategies for correction of errors in computing systems.
  1. 2.17 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. 4.4 DNS
  2. 4.5 Routing
Describe the issues that impact network functionality (e.g., bandwidth, load, delay, topology).
  1. 4.2 Internet Hardware
Compare physical and cybersecurity measures by evaluating trade-offs between the usability and security of a computing system.
  1. 1.6 Privacy & Security
Illustrate how sensitive data can be affected by attacks.
  1. 1.1 What is 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.
Translate and compare different bit representations of data types, such as characters, numbers and images.
Explain the insights and knowledge gained from digitally processed data by using appropriate visualizations, notions and precise language.
  1. 1.8 Visualizing and Interpreting Data
  2. 1.9 Data Collection & Limitations
Create data visualizations to help others better understand real-world phenomena.
  1. 1.8 Visualizing and Interpreting Data
  2. 1.9 Data Collection & Limitations
Evaluate and refine computational artifacts to make them more usable and accessible.
  1. 9.4 Functions and Return Values 1
  2. 9.5 Functions and Return Values 2
Show the relationships between collected data elements using computational models.
Refine computational models to better represent the relationships among different elements of data collected from a phenomenon or process.
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. 5.2 Variables
  2. 5.3 User Input
  3. 5.4 Basic Math in JavaScript
  4. 7.1 Booleans
Demonstrate the use of advanced variables (e.g., lists, arrays, objects) to simplify solutions, generalizing computational problems instead of repeatedly using primitive variables.
  1. 9.11 Intro to Lists/Arrays
  2. 17.2 Basics of Objects
  3. 17.5 Intro to Sets
  4. 17.6 Intro to Grids
Apply the concepts of specific control structures (e.g., sequence, conditionals, repetition, procedures) considering program efficiencies such as readability, performance and memory usage.
  1. 2.14 Control Structures Example
  2. 7.4 If Statements
  3. 7.5 For Loops in JavaScript
  4. 7.9 While Loops
Break down a solution into procedures using systematic analysis and design utilizing functional abstraction.
  1. 2.6 Top Down Design and Decomposition in Karel
  2. 2.15 More Karel Examples and Testing
  3. 9.1 Functions and Parameters 1
Create computational artifacts (file, graphic, video, audio) by systematically organizing, manipulating and/or processing data.
Using visual aids and documentation, illustrate the design elements and data flow (e.g., flowcharts, pseudocode) of the development of a program.
  1. 2.6 Top Down Design and Decomposition in Karel
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.
While collaborating in a team, develop, test and refine programs that solve practical problems or allow self-expression.
  1. 3.1 Collaborative Programming
Evaluate and refine computational artifacts to make them more user-friendly, efficient and/or accessible.
  1. 9.4 Functions and Return Values 1
  2. 9.5 Functions and Return Values 2
Evaluate the ways computing impacts personal, ethical, social, economic and cultural practices.
  1. 1.1 What is Cybersecurity?
  2. 4.7 The Impact of the Internet
Test and refine computational artifacts to reduce bias and equity deficits.
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.
  1. 1.12 Project: Public Service Announcement
Explain the beneficial and harmful effects that intellectual property laws can have on innovation.
  1. 1.7 Information Literacy
  2. 1.10 Creative Credit & Copyright
Explain the privacy concerns related to the collection and analysis of information about individuals that may not be evident to users.
  1. 1.6 Privacy & Security
Evaluate the social and economic consequences of how law and ethics interact with digital aspects of privacy, data, property, information and identity.
  1. 1.3 Digital Footprint and Reputation
  2. 1.6 Privacy & Security
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.