DTSC 1302: Data and Society
University of North Carolina, Charlotte
An introduction to data acquisition, models, and analytic methods for interpreting data and developing hypotheses in the context of the interdisciplinary field of Critical Data Studies.� Critical Data Studies seeks to track, analyze, and transform the use of large data sets across a variety of domains, including the health sciences, security and surveillance technologies, social media, marketing and business, government and public policy, and other uses of aggregative and algorithmic data science.� With resources from Critical Data Studies, students learn how to use statistical methods/tools and scripting programming languages to explore social problems and the ethical implications of collecting and using tabular data.
Average GPA: 3.33
Grade distribution records: 607 students across 5 terms.
Grade distribution
| Grade | Students | Percent |
|---|---|---|
| A | 336 | 55.4% |
| B | 168 | 27.7% |
| C | 47 | 7.7% |
| D | 24 | 4.0% |
| F | 15 | 2.5% |
| W | 4 | 0.7% |
Based on 607 student grade records across 5 terms and 2 professors.
Instructors
- Angela Berardinelli 319 students, Average GPA 3.13
- Marco Scipioni 288 students, Average GPA 3.54