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Through a wide selection of online classes, the University is able to expand its footprint to learners who unable to attend on-campus programs or seek the flexibility online learning offers.
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Online class listings
The University of Nevada, Reno offers a variety of online classes during the spring, summer, and fall terms.
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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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