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UNIT 5: Big Data
One of the most powerful applications of computational thinking relates to the creation and analysis of large data sets. In this unit, students will explore the complete set of processes and techniques that are involved in collecting large volumes of raw data and extracting new and useful information. Students will look at a variety of ways that data scientists use techniques such as statistical analysis, data mining, clustering, classification, and automatic summarization to construct and visualize new knowledge. And finally, using these techniques themselves, students will perform their own analysis on a sample data set to discover new insights, which they will share with the class through a formal, TED-style presentation.
UTeach CS Principles (http://uteachcs.org) is recognized by the College Board as an endorsed provider of curriculum and professional development for AP® Computer Science Principles (AP CSP). This endorsement affirms that all components of UTeach CS Principles' offerings are aligned to the AP Curriculum Framework standards and the AP CSP assessment. Using an endorsed provider affords schools access to resources including an AP CSP syllabus pre-approved by the College Board’s AP Course Audit, and officially recognized professional development that prepares teachers to teach AP CSP.