# 31

Standards in this Framework

Standards Mapped

# 35%

Mapped to Course

Standard Lessons
9-12.AP.A.1
Create prototypes that use algorithms to solve computational problems by leveraging prior student knowledge and personal interests.
1. 2.1 Intro to Python with Tracy the Turtle
2. 2.2 Tracy's Grid World
3. 2.3 Turning Tracy
4. 2.4 For Loops
5. 2.5 Turning Tracy Using Angles
7. 2.7 Naming Guidelines
8. 2.8 Functions
9. 2.9 Artistic Effects
10. 2.10 Top Down Design
11. 2.11 Variables
12. 2.12 User Input
13. 2.13 Parameters
14. 2.14 Using i in For Loops
15. 2.15 Extended Loop Control
16. 2.16 If Statements
17. 2.17 If/ Else Statements
18. 2.18 While Loops
19. 2.19 Putting Together Control Structures
20. 3.1 Printing in Python
21. 3.2 Variables and Types
22. 3.3 User Input
23. 3.4 Mathematical Operators
24. 3.5 String Operators
26. 4.1 Booleans
27. 4.2 If Statements
28. 4.3 Comparison Operators
29. 4.4 Logical Operators
30. 5.1 While Loops
31. 5.2 For Loops
32. 5.3 Break and Continue
33. 5.4 Nested Control Structures
34. 6.1 Functions
35. 6.2 Functions and Parameters
36. 6.3 Namespaces in Functions
37. 6.4 Functions and Return Values
38. 6.5 Exceptions
39. 8.1 Tuples
40. 8.2 Lists
41. 8.3 For Loops and Lists
42. 8.4 List Methods
43. 9.1 2d Lists
44. 9.2 List Comprehensions
45. 9.3 Packing and Unpacking
46. 9.4 Dictionaries
47. 10.1 Project: Guess the Word
48. 13.1 Advanced Challenges with Tracy
49. 23.16 Algorithms
50. 23.18 Karel Challenges
9-12.AP.V.1
Demonstrate the use of both linked lists and arrays to simplify solutions, generalizing computational problems instead of repeatedly using simple variables.
1. 8.2 Lists
2. 8.3 For Loops and Lists
3. 8.4 List Methods
4. 9.1 2d Lists
5. 9.2 List Comprehensions
6. 9.3 Packing and Unpacking
9-12.AP.C.1
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. 2.4 For Loops
2. 2.14 Using i in For Loops
3. 2.15 Extended Loop Control
4. 2.16 If Statements
5. 2.17 If/ Else Statements
6. 2.18 While Loops
7. 2.19 Putting Together Control Structures
8. 4.2 If Statements
9. 5.1 While Loops
10. 5.2 For Loops
11. 5.4 Nested Control Structures
12. 8.3 For Loops and Lists
9-12.AP.C.2
Design and iteratively develop computational artifacts for practical intent, personal expression, or to address a societal issue by using events to initiate instructions.
1. 2.12 User Input
2. 2.16 If Statements
3. 2.17 If/ Else Statements
4. 2.18 While Loops
5. 2.19 Putting Together Control Structures
6. 10.1 Project: Guess the Word
7. 13.1 Advanced Challenges with Tracy
9-12.AP.M.1
Decompose problems into smaller components through systematic analysis, using constructs such as procedures, modules, and/or objects.
1. 2.8 Functions
2. 2.10 Top Down Design
3. 2.13 Parameters
4. 6.1 Functions
5. 6.2 Functions and Parameters
6. 6.4 Functions and Return Values
7. 23.6 Top Down Design and Decomposition in Karel
8. 23.8 Abstraction
9-12.AP.M.2
Create artifacts by using procedures within a program, combinations of data and procedures, or independent but interrelated programs.
1. 2.8 Functions
2. 2.13 Parameters
3. 6.1 Functions
4. 6.2 Functions and Parameters
5. 6.4 Functions and Return Values
9-12.AP.PD.1
Systematically design and develop programs for broad audiences by incorporating feedback from users.
9-12.AP.PD.2
Evaluate licenses that limit or restrict use of computational artifacts when using resources such as libraries.
9-12.AP.PD.3
Evaluate and refine computational artifacts to make them more usable by all and accessible to people with disabilities.
9-12.AP.PD.4
Design and develop computational artifacts working in team roles using collaborative tools.
9-12.AP.PD.5
Document design decisions using text, graphics, presentations, and/or demonstrations in the development of complex programs.
2. 2.10 Top Down Design
4. 23.6 Top Down Design and Decomposition in Karel
5. 23.7 Commenting Your Code
6. 23.8 Abstraction
9-12.CS.D.1
Explain how abstractions hide the underlying implementation details of computing systems embedded in everyday objects.
1. 15.3 Abstraction
2. 23.8 Abstraction
9-12.CS.HS.1
Compare levels of abstraction and interactions between application software, system software, and hardware layers.
1. 15.3 Abstraction
2. 23.8 Abstraction
9-12.CS.T.1
Develop guidelines that convey systematic troubleshooting strategies that others can use to identify and fix errors.
2. 2.10 Top Down Design
4. 23.6 Top Down Design and Decomposition in Karel
5. 23.7 Commenting Your Code
6. 23.15 Debugging Strategies
9-12.DA.S.1
Translate between different bit representations of real-world phenomena, such as characters, numbers, and images (e.g., convert hexadecimal colors to decimal percentages, ASCII/Unicode representation).
9-12.DA.S.2
Evaluate the tradeoffs in how data elements are organized and where data is stored.
1. 8.1 Tuples
2. 8.2 Lists
3. 9.1 2d Lists
4. 9.4 Dictionaries
9-12.DA.CVT.1
Create interactive data visualizations or alternative representations using software tools to help others better understand real-world phenomena.
9-12.DA.IM.1
Create computational models that represent the relationships among different elements of data collected from a phenomenon, process, or model.
9-12.IC.C.1
Evaluate the ways computing impacts personal, ethical, social, economic, and cultural practices.
9-12.IC.C.2
Test and refine computational artifacts to reduce bias and equity deficits.
9-12.IC.C.3
Demonstrate ways a given algorithm applies to problems across disciplines.
9-12.IC.C.4
Explain the potential impacts of artificial intelligence on society.
9-12.IC.SI.1
Use tools and methods for collaboration on a project to increase connectivity of people in different cultures and career fields.
9-12.IC.SLE.1
Explain the beneficial and harmful effects that intellectual property laws can have on innovation.
9-12.IC.SLE.2
Explain the privacy concerns related to the collection and generation of data through automated processes that may not be evident to users.
9-12.IC.SLE.3
Evaluate the social and economic implications of privacy in the context of safety, law, or ethics.
9-12.NI.NCO.1
Evaluate the scalability and reliability of networks, by describing the relationship between routers, switches, servers, topology, and addressing.
9-12.NI.C.1
Give examples to illustrate how sensitive data can be affected by malware and other attacks.
9-12.NI.C.2
Recommend security measures to address various scenarios based on factors such as efficiency, feasibility, and ethical impacts.
9-12.NI.C.3
Compare various security measures, considering tradeoffs between the usability and security of a computing system.
9-12.NI.C.4
Explain tradeoffs when selecting and implementing cybersecurity recommendations.