Registration Information and Course Format
Program staff process term registrations as they are received. Once registered, students will receive a confirmation email containing their Coyote ID and instructions on how to activate their MyCoyote account. Course content is delivered in Canvas, our learning management system. Courses are provided in asynchronous modality with opportunities for additional scheduled virtual meetings with instructors. All scheduled virtual meetings will take place in the evenings.
Each course syllabus will provide a timeline with assignments, readings, exams, and their respective due dates. Any added virtual sessions will be offered on weekday evenings and will be recorded for those who are unable to attend due to work commitments. Students may meet with instructors during Office Hours or at scheduled times. Courses must be taken in chronological order to take advantage of the scaffolding nature of the content.
2025 Course Schedule
| Term | Session | Course # and Title | Registration Deadline | Course Dates | Census Date |
|---|---|---|---|---|---|
| Spring 2025 | 1 | EECR X4061: Introduction to Data Visualization | 01/14/2025 | 01/21/25 - 03/11/25 | 02/04/2025 |
| Spring 2025 | 2 | EECR X4062: Data Analytics for Visualization |
03/17/2025 |
03/24/25 - 05/09/25 | 04/07/2025 |
| Summer 2025 | 1 | EECR X4063: Infographics and Story Telling for Visualization |
05/27/2025 |
06/02/25 - 07/07/25 | 06/09/2025 |
| Summer 2025 | 2 | EECR X4064: Visualization for Decision Making |
07/01/2025 |
07/09/25 - 08/13/25 | 07/16/2025 |
| Fall 2025 | 1 | EECR X4065: Designing for Data Visualization |
08/18/2025 |
08/25/25 - 10/10/25 | 09/10/2025 |
| Fall 2025 | 2 | EECR X4066: Data Visualization Portfolio |
10/13/2025 |
10/20/25 - 12/05/25 | 11/04/2025 |
Course Topics and Objectives
EECR X4061 and EECR X4062 - Introduction and Analytics
- Identify appropriate data visualization techniques given the requirements imposed by the data.
- Analyze, critique, and revise data visualizations.
- Apply appropriate design principles in the creation of presentations and visualizations.
- Describe the data analytics process, starting with developing an understanding of the purpose of a data mining project.
- Distinguish and develop different data analytics techniques such as prediction, classification, clustering, association rules, and collaborative filtering.
- Solve various data visualization and analytics problems (marketing, production, financial, etc.) using software packages including Tableau, Excel, R, and Python.
EECR X4063 and EECR X4064 - Design and Storytelling
- Identify how to create graphics tailored to a particular audience.
- Introduce basic perception and cognition concepts, and apply those concepts to information visualization designs.
- Gain a firm understanding of infographic design principles as they apply to both static and interactive graphics.
- Introduce mapping & cartography through interactive GIS (Geographical Information System Mapping).
- Develop an understanding of the fundamentals of communication and alignment around concepts required for effective data presentation.
- Provide an overview and develop an introductory level of competency on the use of several available software tools that can be used for data visualization.
EECR X4065 and EECR X4066 - Applied Skills
- Combine the data with the background information (storytelling) that puts the charts, figures, and symbols into context for easy comprehension by decision makers.
- Present key data in a manner that points to sound courses of action.
- Design dashboards for a variety of business applications to generate insights for stakeholders and decision makers .
- Allow for project-based opportunities to identify, understand, analyze, prepare, and present effective visualizations on a variety of topics.
- Emulate a real work environment to solve real world business problems and communicate through storytelling to a non-technical audience.