ITIS 5260: 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, IDS/IPS, machine learning for security; log analysis; event correlation, anomaly detection, cyber threat intelligence, and use of public cybersecurity information resources.
Average GPA: 3.66
Grade distribution records: 175 students across 9 terms.
Grade distribution
| Grade | Students | Percent |
|---|---|---|
| A | 121 | 69.1% |
| B | 35 | 20.0% |
| C | 11 | 6.3% |
| W | 6 | 3.4% |
Based on 175 student grade records across 9 terms and 2 professors.
Instructors
- Bei-Tseng Chu 140 students, Average GPA 3.60
- Joel Amick 35 students, Average GPA 3.91