Lesson 3.2 Discovering Knowledge from Data

Lesson 3.2 Discovering Knowledge from Data

As in the previous lesson, the goal of this lesson is for students to be able to create a range of visualizations to analyze large complex sets of data and to meaningfully interpret the patterns they uncover. Students use statistics to deepen the meaning of knowledge gained by visualization. The hooks are again conclusions they can draw from data relevant to themselves, including various geographic perspectives on their life and facial recognition of their own features. The lesson uses Excel as well as Python to manipulate and visualize data. Students examine multidimensional data sets using scatter plot arrays and view geographic and social data using heat maps and directed graphs. Students experiment with object recognition and face recognition. Students learn about genetic data while simulating mutations in a population and then investigate genomic data of many species using public scientific database. Finally, student teams choose a question and answer it using large sets of data.