HCIP 6160: Database Systems for Data Scientists
University of North Carolina, Charlotte
The modeling, programming, integration, and provenance of big data. Focuses on SQL and NoSQL, but may also address other advanced topics. Topics include: (1) modeling/theory: basics of RDBMS and NoSQL, database design; (2) programming: SQL and NoSQL query languages; (3) integration: data warehousing, preprocessing; (4) databases in the Cloud; and (5) provenance: data version control, data lifecycle management.
Average GPA: 3.77
Grade distribution records: 315 students across 29 terms.
Grade distribution
| Grade | Students | Percent |
|---|---|---|
| A | 230 | 73.0% |
| B | 59 | 18.7% |
| C | 5 | 1.6% |
| W | 17 | 5.4% |
Based on 315 student grade records across 29 terms and 18 professors.
Instructors
- Pamela Thompson 124 students, Average GPA 3.80
- Liyue Fan 45 students, Average GPA 3.70
- Stephen Rohrer 42 students, Average GPA 3.86
- Yaorong Ge 31 students, Average GPA 3.79
- Albert Park 14 students, Average GPA 3.79
- Noseong Park 13 students, Average GPA 4.00
- Aaron Lee 8 students, Average GPA 3.14
- George Shaw 8 students, Average GPA 4.00
- Angela Berardinelli 5 students, Average GPA 4.00
- Lixia Yao 5 students, Average GPA 3.50
- Matthew Campbell 4 students, Average GPA 3.50
- Atif Farid Mohammad 3 students, Average GPA 3.67
- David Wilson 2 students, Average GPA 3.50
- Katherine Hanks 2 students, Average GPA 4.00
- Li-Shiang Tsay 2 students, Average GPA 2.50
- Robert Abbott 2 students, Average GPA 4.00
- Shih-Hsiung Chou 2 students, Average GPA 3.00
- Zeinab Riazi 2 students, Average GPA 3.50