CL.L2:3 - Collaborate with peers, experts and others using collaborative practices such as pair programming, working in project teams and participating in-group active learning activities.
CPP - Computing Practice & Programming
CPP.L2:4 - Demonstrate an understanding of algorithms and their practical application.
CT - Computational Thinking
CT.L2:9 - Interact with content-specific models and simulations (e.g., ecosystems, epidemics, molecular dynamics) to support learning and research.
CT.L3B:8 - Use models and simulations to help formulate, refine, and test scientific hypotheses.
CT.L3B:9 - Analyze data and identify patterns through modeling and simulation.
Computer Science Principles
2.1 - A variety of abstractions built upon binary sequences can be used to represent all digital data.2.1.1 - Describe the variety of abstractions used to represent data. [P3]
2.1.1A - Digital data is represented by abstractions at different levels.
2.1.1B - At the lowest level, all digital data are represented by bits.
2.1.1C - At a higher level, bits are grouped to represent abstractions, including but not limited to numbers, characters, and color.
2.2 - Multiple levels of abstraction are used to write programs or create other computational artifacts2.2.1 - Develop an abstraction when writing a program or creating other computational artifacts. [P2]
2.2.1B - An abstraction extracts common features from specific examples in order to generalize concepts.
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.
3.1.1D - 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.
3.1.3 - 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.
3.1.3E - Interactivity with data is an aspect of communicating.
3.3 - There are trade offs when representing information as digital data.3.3.1 - Analyze how data representation, storage, security, and transmission of data involve computational manipulation of information. [P4]
3.3.1A - Digital data representations involve trade offs related to storage, security, and privacy concerns.
CI.L3A:10 - Describe security and privacy issues that relate to computer networks.
CL - Collaboration
CL.L2:2 - Collaboratively design, develop, publish and present products (e.g., videos, podcasts, websites) using technology resources that demonstrate and communicate curriculum. concepts.
CPP - Computing Practice & Programming
CPP.L3A:9 - Explain the principles of security by examining encryption, cryptography, and authentication techniques.
CPP.L3B:5 - Deploy principles of security by implementing encryption and authentication strategies.
CT - Computational Thinking
CT.L3B:4 - Evaluate algorithms by their efficiency, correctness, and clarity.
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.1.2.2 - 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.
3.3 - There are trade offs when representing information as digital data.3.3.1 - Analyze how data representation, storage, security, and transmission of data involve computational manipulation of information. [P4]
3.3.1B - Security concerns engender tradeoffs in storing and transmitting information.
3.3.1F - Security and privacy concerns arise with data containing personal information.
6.3 - Cybersecurity is an important concern for the Internet and the systems built on it.6.3.1 - Identify existing cybersecurity concerns and potential options to address these issues with the Internet and the systems built on it. [P1]
6.3.1C - Implementing cybersecurity has software, hardware, and human components.
6.3.1H - Cryptography is essential to many models of cybersecurity.
6.3.1I - Cryptography has a mathematical foundation.
6.3.1K - Symmetric encryption is a method of encryption involving one key for encryption and decryption.
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]
7.3.1G - Privacy and security concerns arise in the development and use of computational systems and artifacts.
