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Standards Mapping

for Illinois 9-10

37

Standards in this Framework

37

Standards Mapped

100%

Mapped to Course

Standard Lessons
9-10.CS.01
Explain how abstractions hide the underlying implementation details of computing systems embedded in everyday objects.
  1. 15.2 Notational Systems
  2. 15.3 Data Representation
9-10.CS.02
Compare levels of abstraction and interactions between application software, system software, and hardware layers.
  1. 13.2 Comparing Operating Systems
  2. 13.3 Compatibility
  3. 13.4 Software and Applications
  4. 15.4 Internet Hardware and Sending Information
9-10.CS.03
Develop guidelines that convey systematic troubleshooting strategies that others can use to identify and fix errors.
  1. 1.2 More About Karel
  2. 4.6 While Loops
9-10.NI.04
Evaluate the scalability and reliability of networks, by describing the relationship between routers, switches, servers, topology, and addressing.
  1. 15.4 Internet Hardware and Sending Information
  2. 15.5 Internet Addresses
  3. 15.6 Domain Name System (DNS)
  4. 15.7 Routing
  5. 15.8 Packets & Protocols
9-10.NI.05
Give examples to illustrate how sensitive data can be affected by malware and other attacks.
  1. 12.4 Privacy & Security
  2. 13.6 Application Security
9-10.NI.06
Compare various security measures, considering tradeoffs between the usability and security of a computing system.
  1. 12.4 Privacy & Security
  2. 13.6 Application Security
  3. 13.8 System Administration
9-10.NI.07
Recommend security measures to address various scenarios based on factors such as efficiency, feasibility, and ethical impacts.
  1. 13.6 Application Security
  2. 13.8 System Administration
9-10.NI.08
Explain tradeoffs when selecting and implementing cybersecurity recommendations.
  1. 12.4 Privacy & Security
  2. 13.6 Application Security
  3. 13.8 System Administration
9-10.DA.09
Translate between different bit representations of real-world phenomena, such as characters, numbers, and images.
  1. 15.2 Notational Systems
  2. 15.3 Data Representation
9-10.DA.10
Evaluate the tradeoffs in how data elements are organized and stored.
  1. 9.3 Data Collection & Limitations
  2. 14.4 Databases
  3. 14.5 Clients and Servers
9-10.DA.11
Create interactive data visualizations using software tools to help others better understand real-world phenomena.
  1. 9.2 Visualizing and Interpreting Data
  2. 14.3 The Value of Data
9-10.DA.12
Create computational models that represent the relationships among different elements of data collected from a phenomenon or process.
  1. 9.2 Visualizing and Interpreting Data
  2. 10.1 Present a Data-Driven Insight
9-10.AP.13
Create prototypes that use algorithms to solve computational problems by leveraging prior student knowledge and personal interests.
  1. 4.7 The Break Statement
  2. 7.1 Project Prep and Development
  3. 18.1 Challenge Problems
  4. 23.1 Control Structures Challenges
  5. 25.1 Functions Challenges
  6. 26.1 Animation Challenges
  7. 27.1 Breakout
9-10.AP.14
Use lists to simplify solutions, generalizing computational problems instead of repeatedly using simple variables.
  1. 29.1 Intro to Lists/Arrays
  2. 29.2 Indexing Into an Array
  3. 29.3 Adding/Removing From an Array
  4. 29.4 Array Length and Looping Through Arrays
9-10.AP.15
Justify the selection of specific control structures when tradeoffs involve implementation, readability, and program performance, and explain the benefits and drawbacks of choices made.
  1. 4.2 If/Else Statements
  2. 4.6 While Loops
  3. 4.7 The Break Statement
  4. 4.9 For Loops
9-10.AP.16
Design and iteratively develop computational artifacts for practical intent, personal expression, or to address a societal issue by using events to initiate instructions.
  1. 2.3 User Input
  2. 4.6 While Loops
  3. 4.7 The Break Statement
  4. 7.1 Project Prep and Development
  5. 27.1 Breakout
9-10.AP.17
Decompose problems into smaller components through systematic analysis, using constructs such as procedures, modules, or objects.
  1. 1.4 Functions in Karel
  2. 1.6 Top Down Design and Decomposition in Karel
  3. 2.7 Basic Functions
  4. 5.1 Parameters
9-10.AP.18
Create artifacts by using procedures within a program, combinations of data and procedures, or independent but interrelated programs.
  1. 2.7 Basic Functions
  2. 3.3 Positioning Graphics Objects
  3. 5.1 Parameters
  4. 22.1 Graphics Challenges
  5. 25.1 Functions Challenges
9-10.AP.19
Systematically design and develop programs for broad audiences by incorporating feedback from users.
  1. 7.1 Project Prep and Development
9-10.AP.20
Evaluate licenses that limit or restrict use of computational artifacts when using resources such as libraries.
  1. 12.6 Creative Credit & Copyright
9-10.AP.21
Evaluate and refine computational artifacts to make them more usable and accessible.
  1. 7.1 Project Prep and Development
  2. 10.1 Present a Data-Driven Insight
9-10.AP.22
Design and develop computational artifacts working in team roles using collaborative tools.
  1. 7.1 Project Prep and Development
  2. 10.1 Present a Data-Driven Insight
9-10.AP.23
Document design decisions using text, graphics, presentations, or demonstrations in the development of complex programs.
  1. 1.7 Commenting Your Code
  2. 7.1 Project Prep and Development
9-10.AP.24
Describe the characteristics and evaluate the impact of human computer interaction.
  1. 12.1 Digital Footprint and Reputation
  2. 12.2 Cyberbullying
  3. 12.3 Internet Safety
  4. 15.10 Impact of the Internet
9-10.IC.25
Evaluate the ways computing impacts personal, ethical, social, economic, and cultural practices.
  1. 9.3 Data Collection & Limitations
  2. 12.1 Digital Footprint and Reputation
  3. 12.2 Cyberbullying
  4. 12.3 Internet Safety
  5. 15.10 Impact of the Internet
9-10.IC.25b
Evaluate the ways digital social interactions impact personal, ethical, social, economic, and cultural practices.
  1. 11.2 Impact of Cybersecurity
  2. 12.1 Digital Footprint and Reputation
  3. 12.2 Cyberbullying
  4. 12.5 Information Literacy
  5. 12.7 Hacking Ethics
  6. 15.10 Impact of the Internet
9-10.IC.26
Test and refine computational artifacts to reduce bias and equity deficits.
  1. 9.3 Data Collection & Limitations
  2. 10.1 Present a Data-Driven Insight
  3. 12.5 Information Literacy
9-10.IC.27
Demonstrate ways a given algorithm applies to problems across disciplines.
  1. 2.6 Random Numbers
  2. 5.3 Default Parameter Values
  3. 6.1 Timers
9-10.IC.28
Use tools and methods for collaboration on a project to increase connectivity of people in different cultures and career fields.
  1. 7.1 Project Prep and Development
  2. 10.1 Present a Data-Driven Insight
  3. 13.4 Software and Applications
  4. 21.3 Animation Practice
9-10.IC.29
Explain the beneficial and harmful effects that intellectual property laws can have on innovation.
  1. 12.6 Creative Credit & Copyright
9-10.IC.30
Explain the privacy concerns related to the collection and generation of data through automated processes that may not be evident to users.
  1. 14.3 The Value of Data
9-10.IC.31
Evaluate the social and economic implications of privacy in the context of safety, law, or ethics.
  1. 12.4 Privacy & Security
  2. 12.6 Creative Credit & Copyright
9-10.ET.A
Explain that the field of emerging technologies will be evolving and rapidly growing.
  1. 8.1 Computer Science Careers
  2. 8.3 Student Organizations
9-10.ET.B
Compare existing and emerging technologies, ideas, and concepts.
  1. 8.1 Computer Science Careers
9-10.ET.C
Describe how emerging technologies are influencing current events at a local and global scale.
  1. 8.1 Computer Science Careers
  2. 8.3 Student Organizations
9-10.ET.D
Predict the positive and negative societal, cultural, and economic impacts that emerging and future technologies may generate.
  1. 8.1 Computer Science Careers
  2. 11.2 Impact of Cybersecurity
  3. 15.10 Impact of the Internet
9-10.ET.E
Create new or original work by applying emerging technologies.
  1. 7.1 Project Prep and Development
  2. 8.2 Create an Online Portfolio
  3. 10.1 Present a Data-Driven Insight