DSC 550: Data Science Practicum
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.
| 2022 Fall |
| Class# | Sct | Type | Seats | Units |
| 10397 |
09 |
Research |
3 |
3.00 |
|
|
|
|
|
|
|
|
| Instructor: Yuchou Chang |
Class status: C |
| Prerequisite: Completed 18 credit hours of graduate coursework in data science major |
| Enrollment Section |
| Class instruction mode: In Person
|
| 2022 Fall |
| Class# | Sct | Type | Seats | Units |
| 12651 |
02 |
Research |
2 |
0.00 |
|
|
|
|
|
|
|
|
| Instructor: Iren Valova |
Class status: O |
| Prerequisite: Completed 18 credit hours of graduate coursework in data science major |
| Enrollment Section |
| Class instruction mode: In Person
|
| 2022 Fall |
| Class# | Sct | Type | Seats | Units |
| 12951 |
01 |
Research |
3 |
3.00 |
|
|
|
|
|
|
|
|
| Instructor: Ming Shao |
Class status: O |
| Prerequisite: Completed 18 credit hours of graduate coursework in data science major |
| Enrollment Section |
| Class instruction mode: In Person
|