Information and data surround us. They inform what we do, the decisions we make, and what we ask of others. But how can we see what the data is telling us? How can we build graphical approaches that will allow us to make our own decisions—and help others see the patterns we are basing our decisions off of?
By looking at the history of graphical data, and then building our own, we will work at figuring out what graphical representations work best for each type of data. We will look at exemplars (and failures) of graphical representations, looking towards best practices and when to break them.
This is an introductory course that will build our ability to read and interpret graphs, as well as critique choices and methods used to provide information. It will culminate in building a graphical representation for data from our own particular focus. It requires no pre-requisites.
Learning Outcomes:
Delivery Method: Hybrid in-person and remote, with faculty in-person
Prerequisites:None.
Course Level: 2000-level
Credits: 2
Synchronously TBA (2nd seven weeks)
Maximum Enrollment: 16
Course Frequency: One time only
Categories: All courses , Mathematics
Tags: environmental studies , Public Action , public policy , quantitative reasoning , science