Please enable JavaScript to use CodeHS

Standards Mapping

for CSTA 3A

30

Standards in this Framework

10

Standards Mapped

33%

Mapped to Course

Standard Lessons
3A-AP-13
Create prototypes that use algorithms to solve computational problems by leveraging prior student knowledge and personal interests.
  1. 2.7 Abstraction
  2. 2.14 Debugging Strategies
  3. 20.1 Project: Who Said It?
  4. 25.21 Putting Together Control Structures
3A-AP-14
Use lists to simplify solutions, generalizing computational problems instead of repeatedly using simple variables.
  1. 12.1 Tuples
  2. 12.2 Lists
  3. 12.3 For Loops and Lists
  4. 12.4 List Methods
  5. 13.1 2d Lists
  6. 13.2 List Comprehensions
  7. 13.3 Packing and Unpacking
  8. 13.4 Dictionaries
  9. 20.1 Project: Who Said It?
  10. 22.1 Classes and Objects
  11. 22.5 Class Variables vs. Instance Variables
3A-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. 2.13 Control Structures Example
  2. 22.5 Class Variables vs. Instance Variables
3A-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. 20.1 Project: Who Said It?
  2. 25.21 Putting Together Control Structures
3A-AP-17
Decompose problems into smaller components through systematic analysis, using constructs such as procedures, modules, and/or objects.
  1. 2.4 Functions in Karel
  2. 2.5 Top Down Design and Decomposition in Karel
  3. 20.1 Project: Who Said It?
  4. 22.1 Classes and Objects
  5. 22.5 Class Variables vs. Instance Variables
  6. 22.6 Inheritance
  7. 22.9 Modules
3A-AP-18
Create artifacts by using procedures within a program, combinations of data and procedures, or independent but interrelated programs.
  1. 20.1 Project: Who Said It?
  2. 25.21 Putting Together Control Structures
3A-AP-19
Systematically design and develop programs for broad audiences by incorporating feedback from users.
3A-AP-20
Evaluate licenses that limit or restrict use of computational artifacts when using resources such as libraries.
3A-AP-21
Evaluate and refine computational artifacts to make them more usable and accessible.
3A-AP-22
Design and develop computational artifacts working in team roles using collaborative tools.
3A-AP-23
Document design decisions using text, graphics, presentations, and/or demonstrations in the development of complex programs.
  1. 2.6 Commenting Your Code
  2. 3.6 Comments
  3. 9.2 Functions and Parameters
  4. 9.4 Functions and Return Values
  5. 10.1 Indexing
  6. 10.2 Slicing
  7. 10.3 Immutability
  8. 10.4 Strings and For Loops
  9. 10.5 The in Keyword
  10. 10.6 String Methods
  11. 12.1 Tuples
  12. 12.2 Lists
  13. 12.3 For Loops and Lists
  14. 12.4 List Methods
  15. 13.1 2d Lists
  16. 13.2 List Comprehensions
  17. 13.3 Packing and Unpacking
  18. 13.4 Dictionaries
  19. 20.1 Project: Who Said It?
  20. 22.1 Classes and Objects
  21. 22.2 Methods
  22. 22.3 Built-In Methods
  23. 22.4 Operator Overloading
  24. 22.5 Class Variables vs. Instance Variables
  25. 22.6 Inheritance
  26. 22.7 Hidden Attributes
  27. 22.8 Namespaces
  28. 22.9 Modules
  29. 25.6 Comments
  30. 25.14 Parameters
3A-CS-01
Explain how abstractions hide the underlying implementation details of computing systems embedded in everyday objects.
  1. 2.7 Abstraction
  2. 2.8 Super Karel
  3. 2.16 Ultra Karel
3A-CS-02
Compare levels of abstraction and interactions between application software, system software, and hardware layers.
  1. 2.7 Abstraction
  2. 2.16 Ultra Karel
3A-CS-03
Develop guidelines that convey systematic troubleshooting strategies that others can use to identify and fix errors.
  1. 2.14 Debugging Strategies
3A-DA-09
Translate between different bit representations of real-world phenomena, such as characters, numbers, and images.
3A-DA-10
Evaluate the tradeoffs in how data elements are organized and where data is stored.
3A-DA-11
Create interactive data visualizations using software tools to help others better understand real-world phenomena.
3A-DA-12
Create computational models that represent the relationships among different elements of data collected from a phenomenon or process.
3A-IC-24
Evaluate the ways computing impacts personal, ethical, social, economic, and cultural practices.
3A-IC-25
Test and refine computational artifacts to reduce bias and equity deficits.
3A-IC-26
Demonstrate ways a given algorithm applies to problems across disciplines.
3A-IC-27
Use tools and methods for collaboration on a project to increase connectivity of people in different cultures and career fields.
3A-IC-28
Explain the beneficial and harmful effects that intellectual property laws can have on innovation.
3A-IC-29
Explain the privacy concerns related to the collection and generation of data through automated processes that may not be evident to users.
3A-IC-30
Evaluate the social and economic implications of privacy in the context of safety, law, or ethics.
3A-NI-04
Evaluate the scalability and reliability of networks, by describing the relationship between routers, switches, servers, topology, and addressing.
3A-NI-05
Give examples to illustrate how sensitive data can be affected by malware and other attacks.
3A-NI-06
Recommend security measures to address various scenarios based on factors such as efficiency, feasibility, and ethical impacts.
3A-NI-07
Compare various security measures, considering tradeoffs between the usability and security of a computing system.
3A-NI-08
Explain tradeoffs when selecting and implementing cybersecurity recommendations.