# 30

Standards in this Framework

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. 2.19 Putting Together Control Structures
2. 16.1 Project: Who Said It?
3. 23.8 Abstraction
4. 23.15 Debugging Strategies
3A-AP-14
Use lists to simplify solutions, generalizing computational problems instead of repeatedly using simple variables.
1. 8.1 Tuples
2. 8.2 Lists
3. 8.3 For Loops and Lists
4. 8.4 List Methods
5. 9.1 2d Lists
6. 9.2 List Comprehensions
7. 9.3 Packing and Unpacking
8. 9.4 Dictionaries
9. 9.5 Equivalence vs. Identity
10. 12.1 Classes and Objects
11. 12.5 Class Variables vs. Instance Variables
12. 16.1 Project: Who Said It?
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. 12.5 Class Variables vs. Instance Variables
2. 23.14 Control Structures Example
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. 2.19 Putting Together Control Structures
2. 16.1 Project: Who Said It?
3A-AP-17
Decompose problems into smaller components through systematic analysis, using constructs such as procedures, modules, and/or objects.
1. 2.10 Top Down Design
2. 12.1 Classes and Objects
3. 12.5 Class Variables vs. Instance Variables
4. 12.6 Inheritance
5. 12.9 Modules
6. 16.1 Project: Who Said It?
7. 23.5 Functions in Karel
8. 23.6 Top Down Design and Decomposition in Karel
3A-AP-18
Create artifacts by using procedures within a program, combinations of data and procedures, or independent but interrelated programs.
1. 2.10 Top Down Design
2. 2.19 Putting Together Control Structures
3. 16.1 Project: Who Said It?
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 Comments
2. 2.13 Parameters
3. 3.6 Comments
4. 6.2 Functions and Parameters
5. 6.4 Functions and Return Values
6. 7.1 Indexing
7. 7.2 Slicing
8. 7.3 Immutability
9. 7.4 Strings and For Loops
10. 7.5 The in Keyword
11. 7.6 String Methods
12. 8.1 Tuples
13. 8.2 Lists
14. 8.3 For Loops and Lists
15. 8.4 List Methods
16. 9.1 2d Lists
17. 9.2 List Comprehensions
18. 9.3 Packing and Unpacking
19. 9.4 Dictionaries
20. 9.5 Equivalence vs. Identity
21. 12.1 Classes and Objects
22. 12.2 Methods
23. 12.3 Built-In Methods
24. 12.4 Operator Overloading
25. 12.5 Class Variables vs. Instance Variables
26. 12.6 Inheritance
27. 12.7 Hidden Attributes
28. 12.8 Namespaces
29. 12.9 Modules
30. 16.1 Project: Who Said It?
31. 23.7 Commenting Your Code
3A-CS-01
Explain how abstractions hide the underlying implementation details of computing systems embedded in everyday objects.
1. 23.8 Abstraction
2. 23.9 Super Karel
3. 23.17 Ultra Karel
3A-CS-02
Compare levels of abstraction and interactions between application software, system software, and hardware layers.
1. 23.8 Abstraction
2. 23.17 Ultra Karel
3A-CS-03
Develop guidelines that convey systematic troubleshooting strategies that others can use to identify and fix errors.
1. 23.15 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.