Explores the application of data analytics to the domain of information security. Project-based class using python machine learning libraries to both build and deploy models for both supervised and unsupervised modeling algorithms. Business problem contexts include classifying the likelihood that a file or website is malicious based on either extracted static indicators or dynamic behavioral analysis (predictive analytics), as well as network anomaly detection on organizational network traffic data or on user account usage (unsupervised machine learning). Master of Business Admin (MBAD), MBA w/ Dual Degree (DMBA), Joint Juris Doctor/MBA (JMBA), Profl MBA Program (PMBA) can seek departmental approval to enroll upon demonstration of data networking and modeling capabilities.
instructor(s)
Eargle, David
Primary Instructor
- Spring 2020 / Spring 2021 / Spring 2022
