The following directory lists the graduate courses which the University expects to offer, although the University in no way guarantees that all such courses will be offered in any given academic year, and reserves the right to alter the list if conditions warrant. Click on the links below for a list of courses in that subject area. You may then click “View Classes” to see scheduled classes for individual courses.
5605. Data Visualization and Communication
2.00 credits
Prerequisites: Open only to M.S. Data Science students; others with consent.
Grading Basis: Graded
Data visualization is a form of storytelling that provides an effective way to draw conclusions and share insights, allowing people to express big, complex ideas in simple ways. Utilizing state of the art software, the use of parameters, filters, calculated variables, color, space and motion to visually articulate the data are surveyed. Common pitfalls and ethics issues in visualization design are also considered. This interactive course is designed to help students learn the methods, tools, and techniques to best understand and present complex data so that they can persuasively share results and influence decisions.
Last Refreshed: 26-APR-24 05.20.16.357506 AM
| Term | Class Number | Campus | Instruction Mode | Instructor | Section | Session | Schedule | Enrollment | Location | Credits | Grading Basis | Notes | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1248 11499 1 001 | Fall 2024 | 11499 | Storrs | Online Synchronous | Lingamallu, Prasanthi | 001 | Reg | Mo 5:30pm‑7:10pm |
3/45 | No Room Required - Online | 2.00 | Graded |