Search the California Content Standards

Standard:
Select and use data collection tools and techniques to generate data sets.

Descriptive Statement:
Data collection and organization is essential for obtaining new information insights and revealing new knowledge in our modern world. As computers are able to process larger sets of data, gathering data in an efficient and reliable matter remains important. The choice of data collection tools and quality of the data collected influences how new information, insights, and knowledge will support claims and be communicated. Students devise a reliable method to gather information, use software to extract digital data from data sets, and clean and organize the data in ways that support summaries of information obtained from the data. At this level, students may, but are not required to, create their own data collection tools. For example, students could create a computational artifact that records information from a sonic distance sensor to monitor the motion of a prototype vehicle. Alternatively, students could develop a reliable and practical way to automatically digitally record the number of animals entering a portion of a field to graze. Additionally, students could also find a web site containing data (e.g., race results for a major marathon), scrape the data from the web site using data collection tools, and format the data so it can be analyzed.

Standard:
Use data analysis tools and techniques to identify patterns in data representing complex systems.

Descriptive Statement:
Data analysis tools can be useful for identifying patterns in large amounts of data in many different fields. Computers can help with the processing of extremely large sets of data making very complex systems manageable. Students use computational tools to analyze, summarize, and visualize a large set of data. For example, students could analyze a data set containing marathon times and determine how age, gender, weather, and course features correlate with running times. Alternatively, students could analyze a data set of social media interactions to identify the most influential users and visualize the intersections between different social groups.

Standard:
Evaluate how computational innovations that have revolutionized aspects of our culture might evolve.

Descriptive Statement:
It is important to be able to evaluate current technologies and innovations and their potential for future impact on society. Students describe how a given computational innovation might change in the future and impacts these evolutions could have on society, economy, or culture. For example, students could consider ways in which computers may support education (or healthcare) in the future, or how developments in virtual reality might impact arts and entertainment. Alternatively, students could consider how autonomous vehicles will affect individuals' car ownership and car use habits as well as industries that employ human drivers (e.g., trucking, taxi service).

Standard:
Debate laws and regulations that impact the development and use of software.

Descriptive Statement:
Laws and regulations influence what software gets developed and how society benefits or does not. For example, students could debate the pros and cons of changes to regulations around net neutrality: Many believe that mandating that Internet service providers (ISPs) maintain net neutrality facilitates competition between Internet-based content providers and supports consumer choice, but others believe such regulations represent government overreach. Alternatively, students could debate the impacts of different copyright rules in various countries and impacts on economy, society, and culture: Long-lasting copyrights in the United States enable creators to profit from their works but also prevent works from entering the public domain where they can be freely used and adapted to create new works.

Standard:
Explain how the characteristics of the Internet influence the systems developed on it.

Descriptive Statement:
The design of the Internet includes hierarchy and redundancy to help it scale reliably. An end-to-end architecture means that key functions are placed at endpoints in the network (i.e., an Internet user's computer and the server hosting a website) rather than in the middle of the network. Open standards for transmitting information across the Internet help fuel its growth. This design philosophy impacts systems and technologies that integrate with the Internet. Students explain how Internet-based systems depend on these characteristics. For example, students could explain how having common, standard protocols enable products and services from different developers to communicate. Alternatively, students could describe how the end-to-end architecture and redundancy in routing enables Internet users to access information and services even if part of the network is down; the information can still be routed from one end to another through a different path.

Standard:
Analyze cryptographic techniques to model the secure transmission of information.

Descriptive Statement:
Cryptography is essential to many models of cybersecurity. Open standards help to ensure cryptographic security. Certificate Authorities (CAs) issue digital certificates that validate the ownership of encrypted keys used in secured communications across the Internet. Students encode and decode messages using encryption and decryption methods, and they should understand the different levels of complexity to hide or secure information. For example, students could analyze the relative designs of private key vs. public key encryption techniques and apply the best choice for a particular scenario. Alternatively, students could analyze the design of the Diffie-Helman algorithm to RSA (Rivest–Shamir–Adleman) and apply the best choice for a particular scenario. They could provide a cost-benefit analysis of runtime and ease of cracking for various encryption techniques which are commonly used to secure transmission of data over the Internet.