STUDENTS PLEASE DO NOT REGISTER UNTIL YOU HAVE BEEN ADVISED. YOU CAN EMAIL Dr. JOAQUIN CARBONARA, or Dr. WENDE MIX.
| COURSE | FORMAT | SESSION | TIME | CRN | FACULTY |
| CIS 512 | In Person: SAMC393 | VS: May 28 to August 9 | Tu 4:30pm -7:10pm | 1149 | Sumanlata Ghosh |
| DSA 610 | Online Synchronous | VS: May 28 to August 9 | M 6:00pm - 8:40pm | 1204 | Betsy McCall |
| GEG 584 | Online Synchronous | ES: May 28 to June 28 | W 6:00pm - 8:40pm | 1580 | Dr. Wende Mix |
Prerequisites:By Advisement; Graduate Standing
Course Description: Introduction to data analysis in Excel, Tableau, and Python; execute queries to extract data from a relational database; Data Science Life Cycle; tools and techniques to perform all the phases of the data science life cycle; Introduction to Machine Learning concepts.
Prerequisites: None.
Course Description: Introduction to a “big picture” understanding of data flow for strategic, data-driven decision making, including data storage, data organization, data gathering and preparation, exploratory data analysis, and meaningful visualizations and communication. Includes hands-on practice. Offered occasionally, beginning spring 2020.
Prerequisites:Instructor permission, programming experience required
Course Description: Introduction to interactive and Web-based mapping. Different approaches to communicating with maps on the Internet; how to create Web-based mapping applications.
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