DSC 550: Master's Project - fall
Prerequisite: Completed 18 credit hours of graduate coursework in data science major
A team-based learning experience that gives students the opportunity to synthesize prerequisite course material and to conduct real-world analytics projects using large data sets of diverse types and sources. Students work in independent teams to design, implement, and evaluate an appropriate data integration, analysis, and display system. Oral and written reports and ethical aspects are highlighted.
| Class# | Sct | Type | Seats | Units |
| 6114 |
08 |
Research |
5 |
3.00 |
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| Instructor: Gokhan Kul |
Class status: O |
| Prerequisite: Completed 18 credit hours of graduate coursework in data science major |
| Enrollment Section |
| Class instruction mode: In Person
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| Class# | Sct | Type | Seats | Units |
| 6115 |
09 |
Research |
5 |
3.00 |
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| Instructor: Yuchou Chang |
Class status: O |
| Prerequisite: Completed 18 credit hours of graduate coursework in data science major |
| Enrollment Section |
| Class instruction mode: In Person
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| Class# | Sct | Type | Seats | Units |
| 6265 |
13 |
Research |
5 |
0.00 |
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| Instructor: Amir Akhavan Masoumi |
Class status: O |
| Prerequisite: Completed 18 credit hours of graduate coursework in data science major |
| Enrollment Section |
| Class instruction mode: In Person
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| Class# | Sct | Type | Seats | Units |
| 6896 |
16 |
Research |
5 |
3.00 |
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| Instructor: Ashokkumar Patel |
Class status: O |
| Prerequisite: Completed 18 credit hours of graduate coursework in data science major |
| Enrollment Section |
| Class instruction mode: In Person
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