Kentucky 9-12
51 Standards
H-NI-01
Evaluate the scalability and reliability of networks, by describing the relationship between routers, switches, end devices, topology, and addressing.
H-NI-02
Give examples to illustrate how sensitive data can be affected by viruses, malware and other attacks.
H-NI-03
Recommend security measures to address various scenarios based on factors such as usability, efficiency, feasibility, and ethical impacts.
H-NI-04
Describe the issues that impact network functionality (e.g., bandwidth, load, delay, topology). *
H-NI-05
Compare ways software developers protect devices and information from unauthorized access. *
H-DA-01
Evaluate the tradeoffs in how data elements are organized and where data is stored.*
H-DA-02
Collect data using appropriate data collection tools and techniques to support a claim or to communicate information.
H-DA-03
Understand and design database structures to optimize search and retrieval.*
H-DA-04
Explain the privacy concerns related to the collection and generation of data.
H-DA-05
Use data analysis tools (e.g. formulas and other software data / statistical tools) to process and transform the data to make it more useful and reliable.
H-DA-06
Use data analysis tools and techniques to identify patterns and analyze data represented in complex systems.
H-DA-07
Create computational models that represent the relationships among different elements of data.
H-DA-08
Create interactive data visualizations using software tools to help others better understand real-world phenomena.
H-DA-09
Evaluate the ability of models and simulations to test and support the refinement of hypotheses.*
H-AP-01
Evaluate licenses that limit or restrict use of computational artifacts when using resources such as libraries.
H-AP-02
Use a development process in creating a computational artifact that leads to a minimum viable product followed by reflection, analysis, and iteration.
H-AP-03
Use functions, data structures or objects to simplify solutions, generalizing computational problems instead of repeated use of simple variables.
H-AP-04
Design and iteratively develop event-driven computational artifacts for practical intent, personal expression, or to address a societal issue.
H-AP-05
Decompose problems into smaller components through systematic analysis, using constructs such as procedures, modules, and/or objects.
H-AP-06
Justify the selection of specific control structures when tradeoffs involve implementation, readability, and program performance and explain the benefits and drawbacks of choices made.
H-AP-07
Create prototypes that use algorithms to solve computational problems by leveraging prior student knowledge and personal interests.
H-AP-08
Create artifacts by using procedures within a program, combinations of data and procedures, or independent but interrelated programs.
H-AP-09
Evaluate and refine computational artifacts to make them more usable and accessible using systematic testing and debugging.
H-AP-10
Systematically design and develop programs for broad audiences by incorporating feedback from users.
H-AP-11
Design and develop computational artifacts working in team roles using collaborative tools.*
H-AP-12
Describe how artificial intelligence drives many software and physical systems.*
H-AP-13
Use and adapt classic algorithms to solve computational problems.*
H-AP-14
Evaluate algorithms in terms of their efficiency, correctness, and clarity.*
H-AP-15
Compare and contrast fundamental data structures and their uses.*
H-AP-16
Illustrate the flow of execution of a recursive algorithm.*
H-AP-17
Construct solutions to problems using student-created components, such as procedures, modules and/or objects.*
H-AP-18
Analyze a large-scale computational problem and identify generalizable patterns that can be applied to a solution.*
H-AP-19
Select and employ an appropriate component or library to facilitate programming solutions.*
H-AP-20
Develop programs for multiple computing platforms.*
H-AP-21
Use version control systems, integrated development environments (IDEs), and collaborative tools and practices (code documentation) in a group software project.*
H-AP-22
Modify an existing program to add additional functionality and discuss intended and unintended implications (e.g., introducing errors).*
H-AP-23
Evaluate key qualities (including correctness, usability, readability, and efficiency) of a program.*
H-AP-24
Compare multiple programming languages and discuss how their features make them suitable for solving different types of problems.*
H-IC-01
Reduce bias and equity deficits through the design of accessible computational artifacts.
H-IC-02
Evaluate and assess how computing impacts personal, ethical, social, economic, and cultural practices.
H-IC-03
Research how computational innovations that have revolutionized aspects of our culture might have evolved from a need to solve a problem.
H-IC-04
Explain the beneficial and harmful effects that laws governing data (intellectual property, privacy etc.) can have on innovation.
H-IC-05
Evaluate and design computational artifacts to maximize their benefit to society.*
H-IC-06
Evaluate the impact of the digital divide (i.e. inequity of computing access, education and influence) on the development of local communities and society.
H-IC-07
Demonstrate ways computational design (i.e. algorithms, abstractions and analysis) can apply to problems across disciplines.*
H-IC-08
Debate laws and regulations that impact the development and use of software and the protection of privacy.
H-CS-01
Explain how abstractions hide the underlying implementation details of computing systems embedded in everyday objects.
H-CS-02
Compare levels of abstraction and interactions between application software, system software and hardware layers.
H-CS-03
Develop guidelines that convey systematic troubleshooting strategies that others can use to identify and fix errors.
H-CS-04
Categorize the roles of operating system software.
H-CS-05
Illustrate ways computing systems implement logic, input, and output through hardware components.*