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Standards Mapping

for Oklahoma Level 1

28

Standards in this Framework

18

Standards Mapped

64%

Mapped to Course

Standard Lessons
L1.CS.D.01
Model how abstractions hide the underlying implementation details of computing systems embedded in everyday objects.
  1. 1.8 Abstraction
L1.CS.HS.01
Analyze the levels of abstraction and interactions between application software, system software, and hardware.
L1.CS.T.01
Develop and apply criteria for the systematic discovery of errors and systematic strategies for the correction of errors in computing systems.
  1. 1.15 Debugging Strategies
L1.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, etc.) and network protocols (e.g., IP, DNS).
  1. 11.5 DNS
  2. 11.6 Routing
  3. 11.7 Packets and Protocols
L1.NI.CY.01
Compare physical and cybersecurity measures by evaluating trade-offs between the usability and security of a computing system and the risks of an attack.
L1.NI.CY.02
Recommend security measures to address various scenarios based on information security principles.
L1.NI.CY.03
Explain trade-offs when selecting and implementing cybersecurity recommendations from multiple perspectives, such as the user, enterprise, and government.
L1.DA.S.01
Convert and compare different bit representations of data types, such as characters, numbers, and images.
  1. 8.1 Intro to Digital Information
  2. 8.2 Number Systems
  3. 8.3 Encoding Text with Binary
  4. 8.4 Pixel Images
  5. 8.5 Hexadecimal
  6. 8.6 Pixel Colors!
L1.DA.S.02
Evaluate the trade-offs in how data is organized and stored digitally.
  1. 8.8 Data Compression
  2. 8.9 Lossy Compression
L1.DA.CVT.01
Use tools and techniques to locate, collect, and create visualizations of small and largescale data sets (e.g., paper surveys and online data sets).
  1. 13.1 Getting Started with Data
  2. 13.2 Visualizing and Interpreting Data
  3. 13.3 Data Collection & Limitations
L1.DA.IM.01
Illustrate and explain the relationships between collected data elements using computational models.
L1.AP.A.01
Create a prototype that uses algorithms (e. g., searching, sorting, finding shortest distance) to provide a possible solution for a realworld problem.
  1. 18.2 Prototype
  2. 18.4 Project Prep and Development
L1.AP.V.01
Demonstrate the use of lists (e.g., arrays) to simplify solutions, generalizing computational problems instead of repeatedly using simple variables.
  1. 7.2 Lists
  2. 7.3 For Loops and Lists
  3. 7.4 List Methods
L1.AP.C.01
Justify the selection of specific control structures (e.g., sequence, conditionals, repetition, procedures) considering program efficiencies such as readability, performance, and memory usage.
  1. 4.10 While Loops
  2. 4.11 Loop and a Half
L1.AP.M.01
Decompose problems into procedures using systematic analysis and design.
  1. 1.6 Top Down Design and Decomposition in Karel
L1.AP.M.02
Create computational artifacts by systematically organizing, manipulating and/or processing data.
  1. 14.1 Present a Data-Driven Insight
L1.AP.PD.01
Create software that will provide solutions to a variety of users using a software development process.
  1. 18.1 Intro to Design Thinking
  2. 18.4 Project Prep and Development
L1.AP.PD.02
Evaluate a variety of software licensing schemes (e.g., open source, freeware, commercial) and discuss the advantages and disadvantages of each scheme in software development.
L1.AP.PD.03
While working in a team, develop, test, and refine eventbased programs that solve practical problems or allow self-expression.
  1. 18.1 Intro to Design Thinking
  2. 18.2 Prototype
  3. 18.3 Test
  4. 18.4 Project Prep and Development
L1.AP.PD.04
Using visual aids and documentation, illustrate the design elements and data flow (e.g., flowcharts, pseudocode) of the development of a complex program.
  1. 1.6 Top Down Design and Decomposition in Karel
L1.AP.PD.05
Evaluate and refine computational artifacts to make them more user-friendly, efficient and/or accessible.
  1. 18.2 Prototype
  2. 18.3 Test
  3. 18.4 Project Prep and Development
L1.IC.CU.01
Evaluate the ways computing impacts personal, ethical, social, economic, and cultural practices.
  1. 15.1 The Impacts of Computing
L1.IC.CU.02
Test and refine computational artifacts to ensure access to a variety of user audiences.
  1. 18.3 Test
L1.IC.CU.03
Demonstrate ways a given algorithm can help solve computational problems across disciplines.
L1.IC.SI.01
Demonstrate and debate how computing increases and decreases connectivity and communication among people of various cultures.
L1.IC.SLE.01
Describe the beneficial and harmful effects that intellectual property laws can have on innovation.
  1. 11.11 Creative Credit & Copyright
L1.IC.SLE.02
Describe and discuss the privacy concerns related to the large-scale collection and analysis of information about individuals (e.g., how websites collect and uses data) that may not be evident to users.
L1.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.