CURRICULUM STANDARDS

LESSON

MODULE

STANDARD

Python Hour 12

Using Loops

1B-AP-08 Compare and refine multiple algorithms for the same task and determine which is the most appropriate. (P6.3, P3.3)

Python Hour 1

Meet the Python Terminal

1B-AP-09 Create programs that use variables to store and modify data (P5.2}

Python Hour 2

Variables and Strings

2-AP-11 Create clearly named variables that represent different data types and perform operations on their values. (P5.1, P5.2)

Python Hour 8

Introduction to Collections

2-AP-11 Create clearly named variables that represent different data types and perform operations on their values. (P5.1, P5.2)

Python Hour 12

Using Loops

3A-AP-14 Use lists to simplify solutions, generalizing computational problems instead of repeatedly using simple variables. (P4.1)

Python Hour 16

Data Structure Design

2-AP-11 Create clearly named variables that represent different data types and perform operations on their values. (P5.1, P5.2)

Python Hour 24

Designing Classes

2-AP-11 Create clearly named variables that represent different data types and perform operations on their values. (P5.1, P5.2)

Python Hour 11

While Loops

1A-AP-10 Develop programs with sequences and simple loops, to express ideas or address a problem. (P5.2)

1B-AP-10 Create programs that include sequences, events, loops, and conditionals. (P5.2)

Python Hour 12

Using Loops

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. (P5.2)

1B-AP-17 Describe choices made during program development using code comments, presentations, and demonstrations. (P7.2)

Python Hour 21

Using Loops

1B-AP-10 Create programs that include sequences, events, loops, and conditionals. (P5.2)

Python Hour 5

Functions: Returns and Arguments

2-AP-14 Create procedures with parameters to organize code and make it easier to reuse. (P4.1, P4. 3)

Python Hour 21

Using Loops

2-AP-14 Create procedures with parameters to organize code and make it easier to reuse. (P4.1, P4. 3)

2-AP-13 Decompose problems and subproblems into parts to facilitate the design, implementation, and review of programs. (P3.2)

Python Hour 22

Designing Classes

3A-AP-17 Decompose problems into smaller components through systematic analysis, using constructs such as procedures, modules, and/or objects. (P3.2)

Python Hour 24

Designing Classes

2-AP-14 Create procedures with parameters to organize code and make it easier to reuse. (P4.1, P4. 3)

Python Hour 25

OOP Abstraction

3A-AP-18 Create artifacts by using procedures within a program, combinations of data and procedures, or independent but interrelated programs. (P5.2)

Python Hour 26

Inheritance and Code Reuse

2-AP-14 Create procedures with parameters to organize code and make it easier to reuse. (P4.1, P4. 3)

Python Hour 28

Library Objects

2-AP-14 Create procedures with parameters to organize code and make it easier to reuse. (P4.1, P4. 3)

Python Hour 29

2-AP-13 Decompose problems and subproblems into parts to facilitate the design, implementation, and review of programs. (P3.2)

Python Hour 6

Number Randomness and Comparison

2-AP-16 Incorporate existing code, media, and libraries into original programs, and give attribution. (P4.2, P5.2, P7.3)

Python Hour 21

Using Loops

1A-AP-12 Develop plans that describe a program’s sequence of events, goals, and expected outcomes. (P5.1, P7.2)

Python Hour 28

Library Objects

2-AP-19 Document programs in order to make them easier to follow, test, and debug. (P7.2)

2-AP-16 Incorporate existing code, media, and libraries into original programs, and give attribution. (P4.2, P5.2, P7.3)