ITCS 3190: Introduction to Cloud Computing for Data Analysis
University of North Carolina, Charlotte
Introduction to the principles of cloud computing for data science applications. �Focuses on distributed computing, and algorithms for scalable data processing. �Topics include:� parallel processing, information retrieval, knowledge discovery in databases, web search, computational advertising, and scientific data analysis. �Students are expected to bring their laptops to class.
Average GPA: 3.37
Grade distribution records: 957 students across 15 terms.
Grade distribution
| Grade | Students | Percent |
|---|---|---|
| A | 548 | 57.3% |
| B | 228 | 23.8% |
| C | 72 | 7.5% |
| D | 16 | 1.7% |
| F | 36 | 3.8% |
| W | 22 | 2.3% |
Based on 957 student grade records across 15 terms and 5 professors.
Instructors
- Dazhao Cheng 386 students, Average GPA 3.43
- Qiong Cheng 300 students, Average GPA 3.38
- Devansh Desai 132 students, Average GPA 3.11
- Pamela Thompson 90 students, Average GPA 3.33
- Angelina Tzacheva 49 students, Average GPA 3.72