ITCS 8190: Cloud Computing for Data Analysis
University of North Carolina, Charlotte
Introduction to the basic principles of cloud computing for dataintensive applications. Focuses on parallel computing using Google's MapReduce paradigm on Linux clusters, and algorithms for large-scale data analysis applications in web search, information retrieval, computational advertising, and business and scientific data analysis. Students read and present research papers on these topics, and implement programming projects using Hadoop, an open source implementation of Google's MapReduce technology, and related NoSQL technologies for analyzing unstructured data.
Average GPA: 3.79
Grade distribution records: 43 students across 15 terms.
Grade distribution
| Grade | Students | Percent |
|---|---|---|
| A | 35 | 81.4% |
| B | 7 | 16.3% |
| C | 1 | 2.3% |
Based on 43 student grade records across 15 terms and 3 professors.
Instructors
- Srinivas Akella 28 students, Average GPA 3.71
- Angelina Tzacheva 13 students, Average GPA 3.92
- Marco Vieira 2 students, Average GPA 4.00