Component overview
The Class Listing Component uses a .xml file to generate a listing of classes by term, student type, and subject.
- Used to display data. Classing Listing components can be used to display data regarding classes exported from PeopleSoft.
- Class Listings use .xml files. Your data will need to be in a .xml format and matching the defined model structure in the source code. Any changes to names must also be made in the source code.
- Consider the complexity of your data. Class Listing components are responsive, but as screen sizes get smaller, tables with many columns become harder for users to read. Consider limiting the number of columns in your tabular data.
- Class Listings: The Class Listing component presents class information in an accessible tabular format which utilizes the FooTable Plugin to create responsive and collapasble tables.
For Class Listings: CLIST: UNIT NAME - Purpose.
- Example: CLIST: NEVADAONLINE - Online Classes
Example #1
Example Class Listing Component utilizing an external file.
Online Class Listings
The University of ÁùºÏ±¦µä, Reno offers a variety of online classes during the spring, summer, and fall terms.
Need help finding a class?
Use the options below to further refine your search
Class List Results
IS 101 - Intro Information Systems
Introductions to microcomputers, computers in business and microcomputer software tools including word processors, spreadsheets and database management systems.
| Term | Type | Class Number | Credits | Start Date | End Date | Instruction Mode | Instructor |
|---|---|---|---|---|---|---|---|
| 2024 Fall | Undergraduate | 80149 | 3 | 08/26/2024 | 12/11/2024 | Web Based (Asynchronous) | Adam Reed |
| 2025 Spring | Undergraduate | 20352 | 3 | 01/21/2025 | 05/06/2025 | Web Based (Asynchronous) | Adam Reed |
IS 301 - Management Info Systms
Introductions to business applications, computers in organizations, systems development theory and practice, application develop methodology, changing technology, and concerns about computer security and privacy.
| Term | Type | Class Number | Credits | Start Date | End Date | Instruction Mode | Instructor |
|---|---|---|---|---|---|---|---|
| 2024 Fall | Undergraduate | 80027 | 3 | 08/26/2024 | 12/11/2024 | Web Based (Asynchronous) | Patricia Guerrero Hernandez |
| 2024 Fall | Undergraduate | 91267 | 3 | 08/26/2024 | 12/11/2024 | Web Based (Asynchronous) | Abel Gbogbolu |
| 2025 Spring | Undergraduate | 20126 | 3 | 01/21/2025 | 05/06/2025 | Web Based (Asynchronous) | David Croasdell |
| 2025 Spring | Undergraduate | 31685 | 3 | 01/21/2025 | 05/06/2025 | Web Based (Asynchronous) | Abel Gbogbolu |
IS 482 - Applied Data Science
An introduction to the most commonly used techniques in data analysis, statistical learning and machine learning. This is an applied data analytics course focusing on the theories and algorithms behind each technique from an application point of view.
| Term | Type | Class Number | Credits | Start Date | End Date | Instruction Mode | Instructor |
|---|---|---|---|---|---|---|---|
| 2024 Fall | Undergraduate | 80211 | 3 | 08/26/2024 | 12/11/2024 | Web Based (Asynchronous) | Arash Barfar |
IS 682 - Applied Data Science
An introduction to the most commonly used techniques in data analysis, statistical learning and machine learning. This is an applied data analytics course focusing on the theories and algorithms behind each technique from an application point of view.
| Term | Type | Class Number | Credits | Start Date | End Date | Instruction Mode | Instructor |
|---|---|---|---|---|---|---|---|
| 2024 Fall | Graduate | 86132 | 3 | 08/26/2024 | 12/11/2024 | Web Based (Asynchronous) | Arash Barfar |
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