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Standards Mapping

for Natrona Computer Programming 1

21

Standards in this Framework

10

Standards Mapped

47%

Mapped to Course

Standard Lessons
L2.AP.PD.05.1
Demonstrate computational fluency in multiple languages.
L2.AP.PD.05.2
Define what a test case is and the types of error a given test case can identify in code.
L1.AP.PD.03
Use debugging tools to identify and fix errors in a program.
  1. 7.1 Printing in Python
  2. 7.5 String Operators
L2.IC.SI.01
Practice grade-level appropriate behavior and responsibilities while participating in an online community. Identify and report inappropriate behavior.
L2.AP.M.03
Demonstrate code reuse by creating programming solutions using libraries and APIs.
  1. 1.4 Modules, Packages & Libraries
L2.AP.PD.07
Modify an existing program to add additional functionality and discuss intended and unintended implications (e.g., breaking other functionality).
L1.AP.C.02
Trace the execution of loops and conditional statements, illustrating output and changes in values of named variables.
  1. 7.8 Comparison Operators
  2. 7.9 Logical Operators
  3. 7.11 For Loops
  4. 7.12 Break and Continue
L1.AP.M.01
Decompose problems into smaller components through systematic analysis, using constructs such as procedures, modules, and/or objects.
  1. 7.14 Functions
  2. 7.15 Functions and Parameters
  3. 7.17 Functions and Return Values
L1.AP.M.02
Create artifacts by using procedures within a program, combinations of data and procedures, or independent but interrelated programs.
  1. 7.14 Functions
  2. 7.15 Functions and Parameters
  3. 7.17 Functions and Return Values
L1.IC.SI.02
Practice grade-level appropriate behavior and responsibilities while participating in an online community. Identify and report inappropriate behavior.
L1.AP.V.01
Use lists to simplify solutions, generalizing computational problems instead of repeatedly using simple variables.
  1. 1.3 Exploring Data Using Python
L1.AP.A.01
Create a prototype that uses algorithms (e.g., searching, sorting, finding shortest distance) to provide a possible solution for a real-world problem relevant to the student.
L1.DA.CVT.01
Create interactive data representations using software tools to help others better understand real-world phenomena (e.g., paper surveys and online data sets).
  1. 2.7 Interpret and Present
L2.DA.CVT.01
Use data analysis tools and techniques to identify patterns in data representing complex systems.
  1. 2.6 Exploring with Visualizations
L1.DA.IM.01
Create computational models that represent the relationships among different elements of data collected from a phenomenon or process.
  1. 3.7 Trends and Correlations
L2.DA.IM.01
Formulate, refine, and test scientific hypotheses using models and simulations.
L2.DA.CVT.02
Select data collection tools and techniques, and use them to generate data sets that support a claim or communicate information.
  1. 2.3 Importing and Filtering Data
L2.AP.PD.05
Develop and use a series of test cases to verify that a program performs according to its design specifications.
L1.AP.A.02
Describe how artificial intelligence algorithms drive many software and physical systems.
L2.AP.PD.03
Develop programs for multiple computing platforms.
L1.AP.PD.06
Evaluate and refine computational artifacts to make them more usable and accessible.