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Standards Mapping

for Natrona Computer Programming 1

21

Standards in this Framework

9

Standards Mapped

42%

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. 1.15 Debugging Strategies
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. 1.2 Introduction to Programming With Karel
  2. 1.9 Super Karel
  3. 1.17 Ultra Karel
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. 4.4 If Statements
  2. 4.6 For Loops in Python
  3. 4.7 General For Loops
  4. 4.10 While Loops
  5. 4.11 Loop and a Half
  6. 33.4 Strings and For Loops
L1.AP.M.01
Decompose problems into smaller components through systematic analysis, using constructs such as procedures, modules, and/or objects.
  1. 5.1 Functions and Parameters 1
  2. 5.2 Functions and Parameters 2
  3. 5.3 Functions and Parameters 3
  4. 5.4 Functions and Return Values 1
  5. 5.5 Functions and Return Values 2
L1.AP.M.02
Create artifacts by using procedures within a program, combinations of data and procedures, or independent but interrelated programs.
  1. 5.1 Functions and Parameters 1
  2. 5.2 Functions and Parameters 2
  3. 5.3 Functions and Parameters 3
  4. 5.4 Functions and Return Values 1
  5. 5.5 Functions and Return Values 2
  6. 5.9 Basic Python and Graphics Challenges
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. 7.2 Lists
  2. 7.3 For Loops and Lists
  3. 7.4 List Methods
  4. 7.5 Simulation
  5. 34.1 2d Lists
  6. 34.2 List Comprehensions
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.
  1. 7.2 Lists
  2. 7.3 For Loops and Lists
  3. 7.4 List Methods
  4. 7.5 Simulation
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. 13.2 Visualizing and Interpreting Data
  2. 13.3 Data Collection & Limitations
L2.DA.CVT.01
Use data analysis tools and techniques to identify patterns in data representing complex systems.
  1. 13.2 Visualizing and Interpreting Data
L1.DA.IM.01
Create computational models that represent the relationships among different elements of data collected from a phenomenon or process.
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.
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.