compression, encrypted vs. unencrypted, various image representations). Discuss techniques used to store, process, and retrieve Evaluate the tradeoffs in how data elements are 3A-D-3-20 different amounts of information (e.g., files, databases, 3A-AP-10 organized and where data is stored. data warehouses). Apply basic techniques for locating and collecting small- Create prototypes that use algorithms to solve 3A-D-3-21 and large-scale data sets (e.g., creating and distributing 3A-AP-13 computational problems by leveraging prior student user surveys, accessing real-world data sets). knowledge and personal interests. Debate the social and economic implications associated with ethical and unethical computing practices (e.g., Explain the beneficial and harmful effects that 3A-I-2-22 intellectual property rights, hacktivism, software piracy, 3A-IC-28 intellectual property laws can have on innovation diesel emissions testing scandal, new computers shipped with malware). Compare and contrast information access and Evaluate the social and economic implications of 3A-I-7-23 3A-IC-30 privacy in the context of safety, law, or ethics. distribution rights. Discuss implications of the collection and Explain the privacy concerns related to the collection analysis of information about individuals (e.g., how 3A-I-7-24 3A-IC-29 and generation of data through automated processes businesses, social media, and government collect and that may not be evident to users. use personal data). Describe how computation shares features with art and Demonstrate ways a given algorithm applies to 3A-I-7-25 3A-IC-26 music by translating human intention into an artifact. problems across disciplines.
compression, encrypted vs. unencrypted, various image representations). 3A-D-3-20 Discuss techniques used to store, process, and retrieve different amounts of information (e.g., files, databases, data warehouses). 3A-AP-10 Evaluate the tradeoffs in how data elements are organized and where data is stored. 3A-D-3-21 Apply basic techniques for locating and collecting small- and large-scale data sets (e.g., creating and distributing user surveys, accessing real-world data sets). 3A-AP-13 Create prototypes that use algorithms to solve computational problems by leveraging prior student knowledge and personal interests. 3A-I-2-22 Debate the social and economic implications associated with ethical and unethical computing practices (e.g., intellectual property rights, hacktivism, software piracy, diesel emissions testing scandal, new computers shipped with malware). 3A-IC-28 Explain the beneficial and harmful effects that intellectual property laws can have on innovation 3A-I-7-23 Compare and contrast information access and distribution rights. 3A-IC-30 Evaluate the social and economic implications of privacy in the context of safety, law, or ethics. 3A-I-7-24 Discuss implications of the collection and analysis of information about individuals (e.g., how businesses, social media, and government collect and use personal data). 3A-IC-29 Explain the privacy concerns related to the collection and generation of data through automated processes that may not be evident to users. 3A-I-7-25 Describe how computation shares features with art and music by translating human intention into an artifact. 3A-IC-26 Demonstrate ways a given algorithm applies to problems across disciplines.
Crosswalk-9-10.docx