| Course Title: Scientific Illustration and Data Visualization |
| Start Date: 09/04/2024 End Date: 12/17/2024 |
| Term: Fall Semester 2024 |
| Description: Doing experiments and gathering data are important, but far from the entirety of the scientific process. Understanding and communicating experimental outcomes often heavily rely on our ability to visually represent them. In this course, we will explore best practices for organizing and representing data, and learn how the choices we make influence the message our representations communicate. We will also develop a set of good design principles for scientific figures, and learn to prepare high quality plots and graphics for use in presentations, posters, reports, theses, and papers. |
| Distribution(s): II - Math & Sciences |
| Academic Level Of Course: Undergraduate | Credits:4.00 |
| Faculty | Phone | Email address |
| Kyle Broaders | 413-538-3658 | broaders@mtholyoke.edu |
| Meeting Dates | Method | Meeting days | Meeting times | Building name | Room | Frequency |
| 09/04/2024 - 12/17/2024 | Lecture | Tuesday and Thursday | 10:30AM - 11:45AM | KNDD - Kendade | G06 | Weekly |
| Requisite Courses | ||
| Prereq: 8 credits in a STEM subject. | Take previously | Required |
| Comments |
| Additional Comments |
| Course Tags | ||
| DATA0003 | DATA-SE: Data Science Elective Course | This course is an elective option for the Data Science major. |
| Cross-listed Sections |
| None |
| Course Availability | ||||
| Section status: Closed | Capacity: 16 | Enrollment: 18 | Available: 0 | Waitlist: 0 |
BOOK INFORMATION
| Book List | Required | Publisher Full Price |
| No book purchases are required/recommended for this class. |
| Additional Book Comments |