Theoretical Foundations:

• Introduction to data science
• Supervised and unsupervised learning
• Data science methods (e.g., clustering, decision trees, artificial neural networks)
• Performance metrics

Cybersecutrity Applications:

• Spam detection
• Phishing detection
• Intrusion detection
• Access-control prediction
• Denial of Service (DoS) prediction
• Vulnerability/malware prediction
• Adversarial machine learning