ITIS 4260: Introduction to Security Analytics
University of North Carolina, Charlotte
Focuses on security related sense-making and decision-making based on data analytics techniques. Topics include:� data cleaning and storage techniques, introduction to R, clustering analysis and statistical inference for security; log analysis; event correlation, anomaly detection, cyber threat intelligence, and use of public cybersecurity information resources.
Average GPA: 2.56
Grade distribution records: 139 students across 9 terms.
Grade distribution
| Grade | Students | Percent |
|---|---|---|
| A | 37 | 26.6% |
| B | 37 | 26.6% |
| C | 23 | 16.5% |
| D | 12 | 8.6% |
| F | 15 | 10.8% |
| W | 8 | 5.8% |
Based on 139 student grade records across 9 terms and 2 professors.
Instructors
- Bei-Tseng Chu 131 students, Average GPA 2.54
- Joel Amick 8 students, Average GPA 2.75