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Computer Science Standards




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Showing 21 - 30 of 41 Standards

Standard Identifier: 6-8.IC.24

Grade Range: 6–8
Concept: Impacts of Computing
Subconcept: Safety, Law, & Ethics
Practice(s): Communicating About Computing (7.2)

Standard:
Compare tradeoffs between allowing information to be public and keeping information private and secure.

Descriptive Statement:
While it is valuable to establish, maintain, and strengthen connections between people online, security attacks often start with intentionally or unintentionally providing personal information online. Students identify situations where the value of keeping information public outweighs privacy concerns, and vice versa. They also recognize practices such as phishing and social engineering and explain best practices to defend against them. For example, students could discuss the benefits of artists and designers displaying their work online to reach a broader audience. Students could also compare the tradeoffs of making a shared file accessible to anyone versus restricting it to specific accounts. (CA CCSS for ELA/Literacy SL.6.1, SL.7.1, SL.8.1) Alternatively, students could discuss the benefits and dangers of the increased accessibility of information available on the internet, and then compare this to the advantages and disadvantages of the introduction of the printing press in society. (HSS.7.8.4)

Standard Identifier: 9-12.AP.12

Grade Range: 9–12
Concept: Algorithms & Programming
Subconcept: Algorithms
Practice(s): Developing and Using Abstractions, Creating Computational Artifacts (4.2, 5.1)

Standard:
Design algorithms to solve computational problems using a combination of original and existing algorithms.

Descriptive Statement:
Knowledge of common algorithms improves how people develop software, secure data, and store information. Some algorithms may be easier to implement in a particular programming language, work faster, require less memory to store data, and be applicable in a wider variety of situations than other algorithms. Algorithms used to search and sort data are common in a variety of software applications. For example, students could design an algorithm to calculate and display various sports statistics and use common sorting or mathematical algorithms (e.g., average) in the design of the overall algorithm. Alternatively, students could design an algorithm to implement a game and use existing randomization algorithms to place pieces randomly in starting positions or to control the "roll" of a dice or selection of a "card" from a deck.

Standard Identifier: 9-12.AP.16

Grade Range: 9–12
Concept: Algorithms & Programming
Subconcept: Modularity
Practice(s): Recognizing and Defining Computational Problems (3.2)

Standard:
Decompose problems into smaller subproblems through systematic analysis, using constructs such as procedures, modules, and/or classes.

Descriptive Statement:
Decomposition enables solutions to complex problems to be designed and implemented as more manageable subproblems. Students decompose a given problem into subproblems that can be solved using existing functionalities, or new functionalities that they design and implement. For example, students could design a program for supporting soccer coaches in analyzing their teams' statistics. They decompose the problem in terms of managing input, analysis, and output. They decompose the data organization by designing what data will be stored per player, per game, and per team. Team players may be stored as a collection. Data per team player may include: number of shots, misses, saves, assists, penalty kicks, blocks, and corner kicks. Students design methods for supporting various statistical analyses and display options. Students design output formats for individual players or coaches.

Standard Identifier: 9-12.AP.17

Grade Range: 9–12
Concept: Algorithms & Programming
Subconcept: Modularity
Practice(s): Developing and Using Abstractions, Creating Computational Artifacts (4.3, 5.2)

Standard:
Create computational artifacts using modular design.

Descriptive Statement:
Computational artifacts are created by combining and modifying existing computational artifacts and/or by developing new artifacts. To reduce complexity, large programs can be designed as systems of interacting modules, each with a specific role, coordinating for a common overall purpose. Students should create computational artifacts with interacting procedures, modules, and/or libraries. For example, students could incorporate a physics library into an animation of bouncing balls. Alternatively, students could integrate open-source JavaScript libraries to expand the functionality of a web application. Additionally, students could create their own game to teach Spanish vocabulary words using their own modular design (e.g., including methods to: control scoring, manage wordlists, manage access to different game levels, take input from the user, etc.).

Standard Identifier: 9-12.CS.1

Grade Range: 9–12
Concept: Computing Systems
Subconcept: Devices
Practice(s): Developing and Using Abstractions (4.1)

Standard:
Describe ways in which abstractions hide the underlying implementation details of computing systems to simplify user experiences.

Descriptive Statement:
An abstraction is a representation of an idea or phenomenon that hides details irrelevant to the question at hand. Computing systems, both stand alone and embedded in products, are often integrated with other systems to simplify user experiences. For example, students could identify geolocation hardware embedded in a smartphone and describe how this simplifies the users experience since the user does not have to enter her own location on the phone. Alternatively, students might select an embedded device such as a car stereo, identify the types of data (e.g., radio station presets, volume level) and procedures (e.g., increase volume, store/recall saved station, mute) it includes, and explain how the implementation details are hidden from the user.

Standard Identifier: 9-12.CS.2

Grade Range: 9–12
Concept: Computing Systems
Subconcept: Hardware & Software
Practice(s): Developing and Using Abstractions (4.1)

Standard:
Compare levels of abstraction and interactions between application software, system software, and hardware.

Descriptive Statement:
At its most basic level, a computer is composed of physical hardware on which software runs. Multiple layers of software are built upon various layers of hardware. Layers manage interactions and complexity in the computing system. System software manages a computing device's resources so that software can interact with hardware. Application software communicates with the user and the system software to accomplish its purpose. Students compare and describe how application software, system software, and hardware interact. For example, students could compare how various levels of hardware and software interact when a picture is to be taken on a smartphone. Systems software provides low-level commands to operate the camera hardware, but the application software interacts with system software at a higher level by requesting a common image file format (e.g., .png) that the system software provides.

Standard Identifier: 9-12.DA.8

Grade Range: 9–12
Concept: Data & Analysis
Subconcept: Storage
Practice(s): Developing and Using Abstractions (4.1)

Standard:
Translate between different representations of data abstractions of real-world phenomena, such as characters, numbers, and images.

Descriptive Statement:
Computers represent complex real-world concepts such as characters, numbers, and images through various abstractions. Students translate between these different levels of data representations. For example, students could convert an HTML (Hyper Text Markup Language) tag for red font into RGB (Red Green Blue), HEX (Hexadecimal Color Code), HSL (Hue Saturation Lightness), RGBA( Red Green Blue Alpha), or HSLA (Hue Saturation Lightness and Alpha) representations. Alternatively, students could convert the standard representation of a character such as ! into ASCII or Unicode.

Standard Identifier: 9-12.DA.9

Grade Range: 9–12
Concept: Data & Analysis
Subconcept: Storage
Practice(s): Recognizing and Defining Computational Problems (3.3)

Standard:
Describe tradeoffs associated with how data elements are organized and stored.

Descriptive Statement:
People make choices about how data elements are organized and where data is stored. These choices affect cost, speed, reliability, accessibility, privacy, and integrity. Students describe implications for a given data organziation or storage choice in light of a specific problem. For example, students might consider the cost, speed, reliability, accessibility, privacy, and integrity tradeoffs between storing photo data on a mobile device versus in the cloud. Alternatively, students might compare the tradeoffs between file size and image quality of various image file formats and how choice of format may be infuenced by the device on which it is to be accessed (e.g., smartphone, computer).

Standard Identifier: 9-12.IC.28

Grade Range: 9–12
Concept: Impacts of Computing
Subconcept: Safety, Law, & Ethics
Practice(s): Communicating About Computing (7.3)

Standard:
Explain the beneficial and harmful effects that intellectual property laws can have on innovation.

Descriptive Statement:
Laws and ethics govern aspects of computing such as privacy, data, property, information, and identity. Students explain the beneficial and harmful effects of intellectual property laws as they relate to potential innovations and governance. For example, students could explain how patents protect inventions but may limit innovation. Alternatively, students could explain how intellectual property laws requiring that artists be paid for use of their media might limit the choice of songs developers can use in their computational artifacts.

Standard Identifier: 9-12.IC.29

Grade Range: 9–12
Concept: Impacts of Computing
Subconcept: Safety, Law, & Ethics
Practice(s): Communicating About Computing (7.2)

Standard:
Explain the privacy concerns related to the collection and generation of data through automated processes.

Descriptive Statement:
Data can be collected and aggregated across millions of people, even when they are not actively engaging with or physically near the data collection devices. Students recognize automated and non-evident collection of information and the privacy concerns they raise for individuals. For example, students could explain the impact on an individual when a social media site's security settings allows for mining of account information even when the user is not online. Alternatively, students could discuss the impact on individuals of using surveillance video in a store to track customers. Additionally, students could discuss how road traffic can be monitored to change signals in real time to improve road efficiency without drivers being aware and discuss policies for retaining data that identifies drivers' cars and their behaviors.

Showing 21 - 30 of 41 Standards


Questions: Curriculum Frameworks and Instructional Resources Division | CFIRD@cde.ca.gov | 916-319-0881