ITCS 4122: Visual Analytics
University of North Carolina, Charlotte
Introduces the new field of visual analytics, which provides tools for the interactive visual analysis of large and complex data sets in many application areas. Topics include: visual representation, perception, the analysis process, critical thinking, data transformations, color, interaction, and applications.
Average GPA: 3.44
Grade distribution records: 733 students across 30 terms.
Grade distribution
| Grade | Students | Percent |
|---|---|---|
| A | 476 | 64.9% |
| B | 124 | 16.9% |
| C | 42 | 5.7% |
| D | 18 | 2.5% |
| F | 31 | 4.2% |
| W | 37 | 5.0% |
Based on 733 student grade records across 30 terms and 9 professors.
Instructors
- Jing Yang 321 students, Average GPA 3.54
- Gabriel Terejanu 114 students, Average GPA 3.56
- Atif Farid Mohammad 108 students, Average GPA 3.42
- Laurel Powell 84 students, Average GPA 3.20
- Zachary Wartell 49 students, Average GPA 3.09
- Zhaocong Yang 25 students, Average GPA 3.12
- Wenwen Dou 15 students, Average GPA 3.79
- Aidong Lu 10 students, Average GPA 2.88
- Jianping Fan 7 students, Average GPA 3.80