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Post AP
Lesson 1: Introduction to Data
Standards Alignment
Computer Science Principles
3.1 - People use computer programs to process information to gain insight and knowledge.
3.1.1 - Use computers to process information, find patterns, and test hypotheses about digitally processed information to gain insight and knowledge. [P4]
- 3.1.1B - Digital information can be filtered and cleaned by using computers to process information.
- 3.1.1C - Combining data sources, clustering data, and data classification are part of the process of using computers to process information.
- 3.1.1D - Insight and knowledge can be obtained from translating and transforming digitally represented information.
- 3.1.1E - Patterns can emerge when data is transformed using computational tools.
3.1.3 - Explain the insight and knowledge gained from digitally processed data by using appropriate visualizations, notations, and precise language. [P5]
- 3.1.3D - Transforming information can be effective in communicating knowledge gained from data.
3.2 - Computing facilitates exploration and the discovery of connections in information.
3.2.1 - Extract information from data to discover and explain connections, patterns, or trends. [P1]
- 3.2.1A - Large data sets provide opportunities and challenges for extracting information and knowledge.
- 3.2.1B - Large data sets provide opportunities for identifying trends, making connections in data, and solving problems.
- 3.2.1C - Computing tools facilitate the discovery of connections in information within large data sets.
7.3 - Computing has a global affect -- both beneficial and harmful -- on people and society.
7.3.1 - Analyze the beneficial and harmful effects of computing. [P4]
- 7.3.1H - Aggregation of information, such as geolocation, cookies, and browsing history, raises privacy and security concerns.
- 7.3.1J - Technology enables the collection, use, and exploitation of information about, by, and for individuals, groups, and institutions.
CSTA K-12 Computer Science Standards (2017)
DA - Data & Analysis
- 3B-DA-05 - Use data analysis tools and techniques to identify patterns in data representing complex systems.
- 3B-DA-06 - Select data collection tools and techniques to generate data sets that support a claim or communicate information.
Lesson 2: Good and Bad Data Visualizations
Standards Alignment
Computer Science Principles
1.2 - Computing enables people to use creative development processes to create computational artifacts for creative expression or to solve a problem.
1.2.5 - Analyze the correctness, usability, functionality, and suitability of computational artifacts. [P4]
- 1.2.5A - The context in which an artifact is used determines the correctness, usability, functionality, and suitability of the artifact.
- 1.2.5B - A computational artifact may have weaknesses, mistakes, or errors depending on the type of artifact.
- 1.2.5C - The functionality of a computational artifact may be related to how it is used or perceived.
- 1.2.5D - The suitability (or appropriateness) of a computational artifact may be related to how it is used or perceived.
3.1 - People use computer programs to process information to gain insight and knowledge.
3.1.1 - Use computers to process information, find patterns, and test hypotheses about digitally processed information to gain insight and knowledge. [P4]
- 3.1.1D - Insight and knowledge can be obtained from translating and transforming digitally represented information.
- 3.1.1E - Patterns can emerge when data is transformed using computational tools.
3.1.2 - Collaborate when processing information to gain insight and knowledge. [P6]
- 3.1.2A - Collaboration is an important part of solving data driven problems.
- 3.1.2B - Collaboration facilitates solving computational problems by applying multiple perspectives, experiences, and skill sets.
- 3.1.2C - Communication between participants working on data driven problems gives rise to enhanced insights and knowledge.
- 3.1.2D - Collaboration in developing hypotheses and questions, and in testing hypotheses and answering questions, about data helps participants gain insight and knowledge.
- 3.1.2F - Investigating large data sets collaboratively can lead to insight and knowledge not obtained when working alone.
3.1.3 - Explain the insight and knowledge gained from digitally processed data by using appropriate visualizations, notations, and precise language. [P5]
- 3.1.3A - Visualization tools and software can communicate information about data.
- 3.1.3B - Tables, diagrams, and textual displays can be used in communicating insight and knowledge gained from data.
- 3.1.3C - Summaries of data analyzed computationally can be effective in communicating insight and knowledge gained from digitally represented information.
- 3.1.3D - Transforming information can be effective in communicating knowledge gained from data.
- 3.1.3E - Interactivity with data is an aspect of communicating.
CSTA K-12 Computer Science Standards (2017)
DA - Data & Analysis
- 3B-DA-06 - Select data collection tools and techniques to generate data sets that support a claim or communicate information.
- 3B-DA-07 - Evaluate the ability of models and simulations to test and support the refinement of hypotheses.
IC - Impacts of Computing
- 3A-IC-25 - Test and refine computational artifacts to reduce bias and equity deficits.
Lesson 3: Making Data Visualizations
Standards Alignment
Computer Science Principles
1.2 - Computing enables people to use creative development processes to create computational artifacts for creative expression or to solve a problem.
1.2.5 - Analyze the correctness, usability, functionality, and suitability of computational artifacts. [P4]
- 1.2.5A - The context in which an artifact is used determines the correctness, usability, functionality, and suitability of the artifact.
- 1.2.5B - A computational artifact may have weaknesses, mistakes, or errors depending on the type of artifact.
- 1.2.5C - The functionality of a computational artifact may be related to how it is used or perceived.
- 1.2.5D - The suitability (or appropriateness) of a computational artifact may be related to how it is used or perceived.
3.1 - People use computer programs to process information to gain insight and knowledge.
3.1.1 - Use computers to process information, find patterns, and test hypotheses about digitally processed information to gain insight and knowledge. [P4]
- 3.1.1D - Insight and knowledge can be obtained from translating and transforming digitally represented information.
- 3.1.1E - Patterns can emerge when data is transformed using computational tools.
3.1.2 - Collaborate when processing information to gain insight and knowledge. [P6]
- 3.1.2A - Collaboration is an important part of solving data driven problems.
- 3.1.2B - Collaboration facilitates solving computational problems by applying multiple perspectives, experiences, and skill sets.
- 3.1.2C - Communication between participants working on data driven problems gives rise to enhanced insights and knowledge.
- 3.1.2D - Collaboration in developing hypotheses and questions, and in testing hypotheses and answering questions, about data helps participants gain insight and knowledge.
- 3.1.2F - Investigating large data sets collaboratively can lead to insight and knowledge not obtained when working alone.
3.1.3 - Explain the insight and knowledge gained from digitally processed data by using appropriate visualizations, notations, and precise language. [P5]
- 3.1.3A - Visualization tools and software can communicate information about data.
- 3.1.3B - Tables, diagrams, and textual displays can be used in communicating insight and knowledge gained from data.
- 3.1.3C - Summaries of data analyzed computationally can be effective in communicating insight and knowledge gained from digitally represented information.
- 3.1.3D - Transforming information can be effective in communicating knowledge gained from data.
- 3.1.3E - Interactivity with data is an aspect of communicating.
CSTA K-12 Computer Science Standards (2017)
DA - Data & Analysis
- 3A-DA-11 - Create interactive data visualizations using software tools to help others better understand real-world phenomena.
- 3B-DA-05 - Use data analysis tools and techniques to identify patterns in data representing complex systems.
- 3B-DA-06 - Select data collection tools and techniques to generate data sets that support a claim or communicate information.
- 3B-DA-07 - Evaluate the ability of models and simulations to test and support the refinement of hypotheses.
IC - Impacts of Computing
- 3A-IC-25 - Test and refine computational artifacts to reduce bias and equity deficits.
Lesson 4: Discover a Data Story
Standards Alignment
Computer Science Principles
1.1 - Creative development can be an essential process for creating computational artifacts.
1.1.1 - Apply a creative development process when creating computational artifacts. [P2]
- 1.1.1A - A creative process in the development of a computational artifact can include, but is not limited to, employing nontraditional, nonprescribed techniques; the use of novel combinations of artifacts, tools, and techniques; and the exploration of personal cu
- 1.1.1B - Creating computational artifacts employs an iterative and often exploratory process to translate ideas into tangible form.
1.2 - Computing enables people to use creative development processes to create computational artifacts for creative expression or to solve a problem.
1.2.1 - Create a computational artifact for creative expression. [P2]
- 1.2.1A - A computational artifact is anything created by a human using a computer and can be, but is not limited to, a program, an image, audio, video, a presentation, or a web page file.
- 1.2.1B - Creating computational artifacts requires understanding and using software tools and services.
- 1.2.1C - Computing tools and techniques are used to create computational artifacts and can include, but are not limited to, programming IDEs, spreadsheets, 3D printers, or text editors.
1.2.2 - Create a computational artifact using computing tools and techniques to solve a problem. [P2]
- 1.2.2A - Computing tools and techniques can enhance the process of finding a solution to a problem.
1.2.4 - Collaborate in the creation of computational artifacts. [P6]
- 1.2.4A - A collaboratively created computational artifact reflects effort by more than one person.
1.2.5 - Analyze the correctness, usability, functionality, and suitability of computational artifacts. [P4]
- 1.2.5D - The suitability (or appropriateness) of a computational artifact may be related to how it is used or perceived.
1.3 - Computing can extend traditional forms of human expression and experience.
1.3.1 - Use computing tools and techniques for creative expression. [P2]
- 1.3.1E - Computing enables creative exploration of both real and virtual phenomena.
3.1 - People use computer programs to process information to gain insight and knowledge.
3.1.1 - Use computers to process information, find patterns, and test hypotheses about digitally processed information to gain insight and knowledge. [P4]
- 3.1.1D - Insight and knowledge can be obtained from translating and transforming digitally represented information.
- 3.1.1E - Patterns can emerge when data is transformed using computational tools.
3.1.2 - Collaborate when processing information to gain insight and knowledge. [P6]
- 3.1.2A - Collaboration is an important part of solving data driven problems.
- 3.1.2B - Collaboration facilitates solving computational problems by applying multiple perspectives, experiences, and skill sets.
- 3.1.2C - Communication between participants working on data driven problems gives rise to enhanced insights and knowledge.
- 3.1.2D - Collaboration in developing hypotheses and questions, and in testing hypotheses and answering questions, about data helps participants gain insight and knowledge.
- 3.1.2F - Investigating large data sets collaboratively can lead to insight and knowledge not obtained when working alone.
3.1.3 - Explain the insight and knowledge gained from digitally processed data by using appropriate visualizations, notations, and precise language. [P5]
- 3.1.3A - Visualization tools and software can communicate information about data.
- 3.1.3B - Tables, diagrams, and textual displays can be used in communicating insight and knowledge gained from data.
- 3.1.3C - Summaries of data analyzed computationally can be effective in communicating insight and knowledge gained from digitally represented information.
- 3.1.3D - Transforming information can be effective in communicating knowledge gained from data.
CSTA K-12 Computer Science Standards (2017)
DA - Data & Analysis
- 3A-DA-11 - Create interactive data visualizations using software tools to help others better understand real-world phenomena.
- 3B-DA-05 - Use data analysis tools and techniques to identify patterns in data representing complex systems.
- 3B-DA-06 - Select data collection tools and techniques to generate data sets that support a claim or communicate information.
- 3B-DA-07 - Evaluate the ability of models and simulations to test and support the refinement of hypotheses.
Lesson 5: Cleaning Data
Standards Alignment
Computer Science Principles
1.2 - Computing enables people to use creative development processes to create computational artifacts for creative expression or to solve a problem.
1.2.1 - Create a computational artifact for creative expression. [P2]
- 1.2.1A - A computational artifact is anything created by a human using a computer and can be, but is not limited to, a program, an image, audio, video, a presentation, or a web page file.
- 1.2.1B - Creating computational artifacts requires understanding and using software tools and services.
- 1.2.1C - Computing tools and techniques are used to create computational artifacts and can include, but are not limited to, programming IDEs, spreadsheets, 3D printers, or text editors.
- 1.2.1D - A creatively developed computational artifact can be created by using nontraditional, nonprescribed computing techniques.
- 1.2.1E - Creative expressions in a computational artifact can reflect personal expressions of ideas or interests.
1.2.4 - Collaborate in the creation of computational artifacts. [P6]
- 1.2.4A - A collaboratively created computational artifact reflects effort by more than one person.
- 1.2.4B - Effective collaborative teams consider the use of online collaborative tools.
3.1 - People use computer programs to process information to gain insight and knowledge.
3.1.1 - Use computers to process information, find patterns, and test hypotheses about digitally processed information to gain insight and knowledge. [P4]
- 3.1.1A - Computers are used in an iterative and interactive way when processing digital information to gain insight and knowledge.
- 3.1.1B - Digital information can be filtered and cleaned by using computers to process information.
3.1.2 - Collaborate when processing information to gain insight and knowledge. [P6]
- 3.1.2A - Collaboration is an important part of solving data driven problems.
- 3.1.2B - Collaboration facilitates solving computational problems by applying multiple perspectives, experiences, and skill sets.
- 3.1.2C - Communication between participants working on data driven problems gives rise to enhanced insights and knowledge.
- 3.1.2D - Collaboration in developing hypotheses and questions, and in testing hypotheses and answering questions, about data helps participants gain insight and knowledge.
- 3.1.2E - Collaborating face-to-face and using online collaborative tools can facilitate processing information to gain insight and knowledge.
- 3.1.2F - Investigating large data sets collaboratively can lead to insight and knowledge not obtained when working alone.
3.2 - Computing facilitates exploration and the discovery of connections in information.
3.2.1 - Extract information from data to discover and explain connections, patterns, or trends. [P1]
- 3.2.1A - Large data sets provide opportunities and challenges for extracting information and knowledge.
- 3.2.1B - Large data sets provide opportunities for identifying trends, making connections in data, and solving problems.
- 3.2.1C - Computing tools facilitate the discovery of connections in information within large data sets.
- 3.2.1D - Search tools are essential for efficiently finding information.
- 3.2.1E - Information filtering systems are important tools for finding information and recognizing patterns in the information.
- 3.2.1F - Software tools, including spreadsheets and databases, help to efficiently organize and find trends in information.
3.2.2 - Use large data sets to explore and discover information and knowledge. [P3]
- 3.2.2B - The storing, processing, and curating of large data sets is challenging.
- 3.2.2C - Structuring large data sets for analysis can be challenging.
- 3.2.2G - The effective use of large data sets requires computational solutions.
7.1 - Computing enhances communication, interaction, and cognition.
7.1.2 - Explain how people participate in a problem solving process that scales. [P4]
- 7.1.2C - Human computation harnesses contributions from many humans to solve problems related to digital data and the Web.
- 7.1.2D - Human capabilities are enhanced by digitally enabled collaboration.
CSTA K-12 Computer Science Standards (2017)
DA - Data & Analysis
- 3A-DA-11 - Create interactive data visualizations using software tools to help others better understand real-world phenomena.
- 3B-DA-05 - Use data analysis tools and techniques to identify patterns in data representing complex systems.
- 3B-DA-06 - Select data collection tools and techniques to generate data sets that support a claim or communicate information.
- 3B-DA-07 - Evaluate the ability of models and simulations to test and support the refinement of hypotheses.
IC - Impacts of Computing
- 3A-IC-25 - Test and refine computational artifacts to reduce bias and equity deficits.
Lesson 6: Creating Summary Tables
Standards Alignment
Computer Science Principles
1.1 - Creative development can be an essential process for creating computational artifacts.
1.1.1 - Apply a creative development process when creating computational artifacts. [P2]
- 1.1.1A - A creative process in the development of a computational artifact can include, but is not limited to, employing nontraditional, nonprescribed techniques; the use of novel combinations of artifacts, tools, and techniques; and the exploration of personal cu
- 1.1.1B - Creating computational artifacts employs an iterative and often exploratory process to translate ideas into tangible form.
1.2 - Computing enables people to use creative development processes to create computational artifacts for creative expression or to solve a problem.
1.2.1 - Create a computational artifact for creative expression. [P2]
- 1.2.1A - A computational artifact is anything created by a human using a computer and can be, but is not limited to, a program, an image, audio, video, a presentation, or a web page file.
- 1.2.1B - Creating computational artifacts requires understanding and using software tools and services.
- 1.2.1E - Creative expressions in a computational artifact can reflect personal expressions of ideas or interests.
1.2.4 - Collaborate in the creation of computational artifacts. [P6]
- 1.2.4A - A collaboratively created computational artifact reflects effort by more than one person.
- 1.2.4B - Effective collaborative teams consider the use of online collaborative tools.
3.1 - People use computer programs to process information to gain insight and knowledge.
3.1.1 - Use computers to process information, find patterns, and test hypotheses about digitally processed information to gain insight and knowledge. [P4]
- 3.1.1A - Computers are used in an iterative and interactive way when processing digital information to gain insight and knowledge.
- 3.1.1B - Digital information can be filtered and cleaned by using computers to process information.
- 3.1.1C - Combining data sources, clustering data, and data classification are part of the process of using computers to process information.
- 3.1.1D - Insight and knowledge can be obtained from translating and transforming digitally represented information.
- 3.1.1E - Patterns can emerge when data is transformed using computational tools.
3.1.2 - Collaborate when processing information to gain insight and knowledge. [P6]
- 3.1.2D - Collaboration in developing hypotheses and questions, and in testing hypotheses and answering questions, about data helps participants gain insight and knowledge.
- 3.1.2E - Collaborating face-to-face and using online collaborative tools can facilitate processing information to gain insight and knowledge.
- 3.1.2F - Investigating large data sets collaboratively can lead to insight and knowledge not obtained when working alone.
3.1.3 - Explain the insight and knowledge gained from digitally processed data by using appropriate visualizations, notations, and precise language. [P5]
- 3.1.3A - Visualization tools and software can communicate information about data.
- 3.1.3B - Tables, diagrams, and textual displays can be used in communicating insight and knowledge gained from data.
- 3.1.3C - Summaries of data analyzed computationally can be effective in communicating insight and knowledge gained from digitally represented information.
- 3.1.3D - Transforming information can be effective in communicating knowledge gained from data.
3.2 - Computing facilitates exploration and the discovery of connections in information.
3.2.1 - Extract information from data to discover and explain connections, patterns, or trends. [P1]
- 3.2.1C - Computing tools facilitate the discovery of connections in information within large data sets.
- 3.2.1F - Software tools, including spreadsheets and databases, help to efficiently organize and find trends in information.
CSTA K-12 Computer Science Standards (2017)
DA - Data & Analysis
- 3A-DA-11 - Create interactive data visualizations using software tools to help others better understand real-world phenomena.
- 3B-DA-05 - Use data analysis tools and techniques to identify patterns in data representing complex systems.
- 3B-DA-06 - Select data collection tools and techniques to generate data sets that support a claim or communicate information.
- 3B-DA-07 - Evaluate the ability of models and simulations to test and support the refinement of hypotheses.
IC - Impacts of Computing
- 3A-IC-25 - Test and refine computational artifacts to reduce bias and equity deficits.
Lesson 7: Tell a Data Story
Standards Alignment
Computer Science Principles
1.2 - Computing enables people to use creative development processes to create computational artifacts for creative expression or to solve a problem.
1.2.1 - Create a computational artifact for creative expression. [P2]
- 1.2.1A - A computational artifact is anything created by a human using a computer and can be, but is not limited to, a program, an image, audio, video, a presentation, or a web page file.
- 1.2.1B - Creating computational artifacts requires understanding and using software tools and services.
- 1.2.1C - Computing tools and techniques are used to create computational artifacts and can include, but are not limited to, programming IDEs, spreadsheets, 3D printers, or text editors.
- 1.2.1E - Creative expressions in a computational artifact can reflect personal expressions of ideas or interests.
1.2.2 - Create a computational artifact using computing tools and techniques to solve a problem. [P2]
- 1.2.2A - Computing tools and techniques can enhance the process of finding a solution to a problem.
- 1.2.2B - A creative development process for creating computational artifacts can be used to solve problems when traditional or prescribed computing techniques are not effective.
1.2.5 - Analyze the correctness, usability, functionality, and suitability of computational artifacts. [P4]
- 1.2.5A - The context in which an artifact is used determines the correctness, usability, functionality, and suitability of the artifact.
- 1.2.5B - A computational artifact may have weaknesses, mistakes, or errors depending on the type of artifact.
- 1.2.5C - The functionality of a computational artifact may be related to how it is used or perceived.
- 1.2.5D - The suitability (or appropriateness) of a computational artifact may be related to how it is used or perceived.
3.1 - People use computer programs to process information to gain insight and knowledge.
3.1.3 - Explain the insight and knowledge gained from digitally processed data by using appropriate visualizations, notations, and precise language. [P5]
- 3.1.3A - Visualization tools and software can communicate information about data.
- 3.1.3B - Tables, diagrams, and textual displays can be used in communicating insight and knowledge gained from data.
- 3.1.3C - Summaries of data analyzed computationally can be effective in communicating insight and knowledge gained from digitally represented information.
- 3.1.3D - Transforming information can be effective in communicating knowledge gained from data.
7.3 - Computing has a global affect -- both beneficial and harmful -- on people and society.
7.3.1 - Analyze the beneficial and harmful effects of computing. [P4]
- 7.3.1J - Technology enables the collection, use, and exploitation of information about, by, and for individuals, groups, and institutions.
CSTA K-12 Computer Science Standards (2017)
DA - Data & Analysis
- 3A-DA-11 - Create interactive data visualizations using software tools to help others better understand real-world phenomena.
- 3B-DA-05 - Use data analysis tools and techniques to identify patterns in data representing complex systems.
- 3B-DA-06 - Select data collection tools and techniques to generate data sets that support a claim or communicate information.
- 3B-DA-07 - Evaluate the ability of models and simulations to test and support the refinement of hypotheses.
IC - Impacts of Computing
- 3A-IC-25 - Test and refine computational artifacts to reduce bias and equity deficits.