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Here’s what you should do to get started…

1. Understand what this class is about - please read the What Is This Class and Why? (2025 Edition) page (and maybe the Course Learning Outcomes (CLOs)) which will give you a sense of what this class is about. This isn’t your standard CS class. If this class isn’t for you, someone on the waiting list will be happy to take your spot.
2. Understand how the class will work - look at Policy Overview page to get an idea of the mechanics. The Syllabus has details about policies, but also a bit of the description of the content.
3. Be prepared for class - class attendance is required. Please bring drawing supplies (pens or pencils, in multiple colors - I recommend black + four other colors)

   Attendance is part of class. This class involves in-class experiences. This requires students to be in class - if you are not in class for the in-class experience, you won’t have the in-class experience. If you know that you will miss a lot of classes, or do not intend to come to class “nearly all of the time”, please do not take the class.

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This class is a principles-and-design-oriented exploration of Data Visualization. This posting will explain the content, style and rationale for the class. The class is different from most other CS classes.

Course learning outcomes explain what we are trying to achieve in the course. For the student, it gives you a sense of what I (as instructor) am trying to do. As instructor, it guides the design of the class.

Summary: Use AI tools (ChatGPT, Co-Pilot, etc.) to help you in your learning, not to do the assignments for you. Treat them like another student: you can get them to help you, but you are responsible for your own work. Give them proper credit / attribution. Don’t claim their work as your own.

Seek and Finds are an assignment type that will be part of each module. Students are asked to find a visualization that fits a prompt, and then to answer some questions about it.

This is a Syllabus in the form of the official University Template. It details the course policies. A summary of course policies is available at Policy Overview

More information is on the course web page: https://pages.graphics.cs.wisc.edu/765-25/.

Summarizing the policy related contents of the Syllabus …