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Standards Mapping

for Colorado 9-12

83

Standards in this Framework

51

Standards Mapped

61%

Mapped to Course

Standard Lessons
CS.HS.1.1a
Identify and create different types of algorithms (sort, search, etc.).
  1. 1.4 Functions in Karel
  2. 1.16 Karel Challenges
CS.HS.1.1b
Predict the outcome of different types of algorithms.
  1. 1.9 For Loops
  2. 1.11 If/Else Statements
  3. 1.12 While Loops in Karel
  4. 13.17 If/ Else Statements
  5. 13.18 While Loops
  6. 13.19 Putting Together Control Structures
CS.HS.1.1c
Create or adapt algorithms to solve problems for multiple purposes (e.g., personal interests, client needs).
  1. 1.6 Top Down Design and Decomposition in Karel
  2. 1.16 Karel Challenges
  3. 13.10 Top Down Design
  4. 13.19 Putting Together Control Structures
CS.HS.1.1d
Use an algorithm that involves mathematical operations and functions to solve problems.
  1. 1.9 For Loops
  2. 1.12 While Loops in Karel
  3. 1.16 Karel Challenges
  4. 13.17 If/ Else Statements
  5. 13.18 While Loops
  6. 13.19 Putting Together Control Structures
CS.HS.1.1e
Use an iterative approach to utilizing and/or developing an algorithm.
  1. 1.9 For Loops
  2. 1.12 While Loops in Karel
  3. 1.16 Karel Challenges
  4. 13.4 For Loops
  5. 13.14 Using i in For Loops
  6. 13.15 Extended Loop Control
  7. 13.18 While Loops
CS.HS.1.1f
Recognize problems that cannot be solved computationally.
CS.HS.1.1g
Identify and describe algorithms that exist within their personal lives.
  1. 1.6 Top Down Design and Decomposition in Karel
  2. 13.4 For Loops
  3. 13.10 Top Down Design
  4. 13.17 If/ Else Statements
CS.HS.1.2a
Identify and compare different algorithms that can be used to solve the same problem.
  1. 1.14 More Karel Examples and Testing
  2. 1.16 Karel Challenges
  3. 13.4 For Loops
CS.HS.1.2b
Illustrate the flow of execution of an iterative algorithm (e.g., recursion).
  1. 1.9 For Loops
  2. 1.12 While Loops in Karel
  3. 1.14 More Karel Examples and Testing
  4. 1.16 Karel Challenges
  5. 13.4 For Loops
  6. 13.14 Using i in For Loops
  7. 13.15 Extended Loop Control
  8. 13.18 While Loops
CS.HS.1.2c
Explain the value of heuristic algorithms to model ways to solve problems.
CS.HS.1.2d
Adapt algorithms used in one problem to solve a related or different problem.
  1. 1.4 Functions in Karel
  2. 1.16 Karel Challenges
CS.HS.1.2e
Use multiple methods to represent an algorithm (e.g., diagram, programming language, unplugged).
  1. 1.6 Top Down Design and Decomposition in Karel
  2. 1.14 More Karel Examples and Testing
  3. 13.10 Top Down Design
CS.HS.1.3a
Describe pros and cons of the performance of algorithms for the same task.
  1. 1.9 For Loops
  2. 13.4 For Loops
CS.HS.1.3b
Use an iterative approach to developing an algorithm.
  1. 1.6 Top Down Design and Decomposition in Karel
  2. 1.14 More Karel Examples and Testing
  3. 13.10 Top Down Design
CS.HS.1.3c
Test and troubleshoot so that algorithms produce reasonable results.
  1. 1.6 Top Down Design and Decomposition in Karel
  2. 1.16 Karel Challenges
  3. 13.18 While Loops
  4. 13.19 Putting Together Control Structures
CS.HS.1.4a
Demonstrate how the process of decomposition is iterative and used to solve problems.
  1. 1.6 Top Down Design and Decomposition in Karel
  2. 13.10 Top Down Design
CS.HS.1.4b
Formulate possible solutions based on the decomposition of a problem.
  1. 1.6 Top Down Design and Decomposition in Karel
  2. 13.10 Top Down Design
CS.HS.1.5a
Describe how abstraction is central to computational thinking.
  1. 1.8 Super Karel
CS.HS.1.5b
Identify and prioritize the most relevant parts of a problem while filtering out extraneous details.
  1. 1.6 Top Down Design and Decomposition in Karel
  2. 13.10 Top Down Design
CS.HS.1.5c
Demonstrate different ways to represent key problem components.
  1. 1.6 Top Down Design and Decomposition in Karel
  2. 1.16 Karel Challenges
  3. 13.10 Top Down Design
CS.HS.1.6a
Identify different types of data that are exchanged and produced by computers (e.g., protocols).
  1. 7.6 Packets and Protocols
CS.HS.1.6b
Represent data using multiple encoding schemes (e.g., RGB, Hex, HSB, ASCII, Unicode).
  1. 6.1 Intro to Digital Information
  2. 6.3 Encoding Text with Binary
  3. 6.4 Pixel Images
  4. 6.5 Hexadecimal
  5. 6.6 Pixel Colors!
  6. 6.7 Image Manipulation
CS.HS.1.6c
Evaluate the trade-offs for how data elements are organized and where data are stored (e.g., PNG/GIF, structured/unstructured).
CS.HS.1.6d
Compare and contrast various data structures/techniques for storing and processing data (e.g., arrays, lists, tables).
CS.HS.1.7a
Analyze computer programs to identify patterns within the program.
  1. 1.4 Functions in Karel
  2. 1.6 Top Down Design and Decomposition in Karel
  3. 1.9 For Loops
  4. 13.4 For Loops
  5. 13.10 Top Down Design
CS.HS.1.7b
Provide multiple versions of data visualization in order to deepen problem analysis.
CS.HS.1.7c
Interpret and analyze data to make informed decisions.
CS.HS.1.8a
Analyze computer output in different forms (e.g., plain text, CSV, graphs, images).
CS.HS.1.8b
Design visualizations using the appropriate tool(s) with the end user in mind.
  1. 13.9 Artistic Effects
  2. 13.12 User Input
  3. 13.17 If/ Else Statements
CS.HS.1.8c
Provide multiple versions of data visualization in order to deepen problem analysis.
CS.HS.2.1a
Describe key protocols and underlying processes of internet-based services, (e.g., https) and discuss impact of technology change on communication protocols.
  1. 4.13 Viewing Websites
  2. 7.3 Internet Addresses
  3. 7.4 DNS
  4. 7.5 Routing
  5. 7.6 Packets and Protocols
  6. 7.7 The Impact of the Internet
CS.HS.2.1b
Illustrate and describe the basic components and various network types and topologies (e.g., personal, local, metropolitan, and wide).
  1. 7.2 Internet Hardware
CS.HS.2.1c
Explain the difference between decimal, hexadecimal, octal and binary number formats and how they are used in computing environments.
  1. 6.2 Number Systems
  2. 6.3 Encoding Text with Binary
  3. 6.4 Pixel Images
  4. 6.5 Hexadecimal
  5. 6.6 Pixel Colors!
  6. 6.7 Image Manipulation
CS.HS.2.2a
Explain the difference between memory and disk storage, internal and external storage, Random Access Memory (RAM), flash, cloud.
  1. 2.2 Computer Organization
  2. 7.2 Internet Hardware
CS.HS.2.2b
List and explain the common working parts of a computing device.
  1. 2.2 Computer Organization
CS.HS.2.2c
Explain how to maintain safety when working on PCs, e.g., electromagnetic precautions.
  1. 2.2 Computer Organization
CS.HS.2.2d
Describe how computing devices are engineered for fault tolerance and reliability, and identify potential sources of weakness (e.g., redundant power supplies, RAID, SAN/NAS connections).
  1. 7.5 Routing
CS.HS.2.3a
Identify and differentiate between different kinds of software (e.g., operating systems vs. applications) and their purposes.
  1. 2.3 Software
CS.HS.2.3b
Explain what an operating system is, and why it is important for a computer or computing device (e.g., Linux, Windows, iOS).
  1. 2.3 Software
CS.HS.2.3c
Describe how software interacts with hardware to complete tasks.
  1. 2.3 Software
  2. 2.4 Hardware
CS.HS.2.4a
Explain the integration of hardware, software and network communications components to create a networked system.
  1. 7.2 Internet Hardware
CS.HS.2.4b
Summarize security approaches using a systems approach perspective
CS.HS.2.5a
Identify client’s problems/needs.
CS.HS.2.5b
Articulate design requirements back to client.
CS.HS.2.5c
Illustrate options for considerations and develop conceptual model.
CS.HS.2.5d
Perform system analysis based on client considerations.
CS.HS.2.6a
Identify different ways that systems might lose data or functionality.
CS.HS.2.6b
Describe elements of an effective backup system.
CS.HS.2.6c
Compare backup systems for computer users, or a network.
  1. 7.5 Routing
CS.HS.2.6d
List the various backup methodologies (e.g., full, differential), and why one would pick one over the other, or use all.
CS.HS.2.6e
Explain the ways an organization would continue to operate in light of a systems failure.
CS.HS.2.7a
Identify examples of threats to systems and data.
  1. 9.4 Privacy & Security
CS.HS.2.7b
Describe the process by which intruders gain entry into a production system (e.g., reconnaissance).
CS.HS.2.7c
Describe and compare methods to test/validate how well systems and data are protected.
  1. 9.4 Privacy & Security
CS.HS.2.7d
Investigate different career pathways relating to systems security.
  1. 15.3 Impact of Cybersecurity
CS.HS.3.1a
Analyze and apply a design methodology to identify constraints and requirements of an identified problem.
CS.HS.3.1b
Utilize tools and resources such as pseudocode, flowcharts, wireframes, etc., as part of the design process.
  1. 1.6 Top Down Design and Decomposition in Karel
  2. 13.10 Top Down Design
CS.HS.3.1c
Determine and use graphical or text-based languages.
  1. 13.1 Intro to Python with Tracy the Turtle
CS.HS.3.1d
Understand and apply core programming concepts.
  1. 1.9 For Loops
  2. 1.11 If/Else Statements
  3. 1.12 While Loops in Karel
  4. 13.4 For Loops
  5. 13.8 Functions
  6. 13.11 Variables
  7. 13.13 Parameters
  8. 13.16 If Statements
  9. 13.17 If/ Else Statements
  10. 13.18 While Loops
CS.HS.3.2a
Write code per selected design.
  1. 5.1 Project: Your First Website
  2. 13.10 Top Down Design
  3. 13.19 Putting Together Control Structures
CS.HS.3.2b
Create code comments to communicate to other developers and ensure documentation of code.
  1. 1.7 Commenting Your Code
  2. 13.6 Comments
CS.HS.3.2c
Use various troubleshooting and debugging techniques to improve code.
  1. 1.6 Top Down Design and Decomposition in Karel
  2. 1.7 Commenting Your Code
CS.HS.3.2d
Create appropriate variables to store and retrieve data.
  1. 13.11 Variables
CS.HS.3.3a
Integrate collaborative strategies to improve programming outputs.
CS.HS.3.3b
Identify and analyze a variety of collaborative tools (e.g., commenting, development repositories) in order to determine the appropriateness for intended use.
  1. 1.7 Commenting Your Code
CS.HS.3.3c
Identify strategies such as peer reviews to test and refine artifacts in development.
CS.HS.3.3d
Determine when to use standard software tools like APIs, libraries, version control repositories, etc.
  1. 1.8 Super Karel
CS.HS.3.4a
Understand and apply principles of client-based design.
CS.HS.3.4b
Guide/advise clients on strategies and solutions best suited for their problem (i.e., type of platform).
CS.HS.3.4c
Construct effective methods for gathering feedback from client.
CS.HS.3.4d
Respond to feedback from clients to improve computing solutions.
CS.HS.3.4e
Create and share product support documentation for potential users.
CS.HS.3.4f
Articulate lessons learned as a result of the design and creation process.
  1. 5.1 Project: Your First Website
CS.HS.3.5a
Investigate and understand privacy, security and protection laws.
  1. 9.4 Privacy & Security
CS.HS.3.5b
Articulate the importance of securing personal data information on encrypted storage systems.
  1. 9.4 Privacy & Security
CS.HS.3.5c
Identify and analyze current events to ensure the safety, security and wellbeing of all potential clients and end users.
CS.HS.3.5d
Identify influential computing innovations, and identify the beneficial and harmful effects they have had, or could have, on society, economy and culture.
  1. 7.7 The Impact of the Internet
CS.HS.3.5e
Discuss and explain how diversity of design and issues of accessibility impact a wide-range of users.
CS.HS.3.5f
Demonstrate ways to improve the accessibility of computational technologies and artifacts.
CS.HS.3.6a
Describe how software licensing influences program development.
CS.HS.3.6b
Investigate and develop solutions that discourage online software piracy.
CS.HS.3.6c
Explore and integrate security measures such as encryption, authentication and verification strategies to secure developed computer programs.
CS.HS.3.6d
Research and abide by intellectual property laws and patents.
  1. 7.7 The Impact of the Internet
  2. 9.6 Creative Credit & Copyright