Digital Forensics and Machine Learning

Catalog description

Overview of information security forensics activities. Topics include: digital forensics investigative basics and digital forensics examination criteria. Course includes hands-on lab activities where machine learning concepts are applied, and students learn the basics of digital forensics techniques and how machine learning could be used in the context of processing data. Prerequisite(s): ( CSCI 3371 >=C or CSCI 3271 >=C) and ( MATH 3280 >=C) Lecture Hours: 3 Repeatability: May not be repeated for credit. Grade Mode: Normal, Audit College Restrictions: School of Comp & Cyber Science Campus Restrictions: Main Campus Schedule Type (Primary): Lecture/Unsupervised Lab/Clinic Schedule Type (Additional): Asynchronous Instruction Click here for the Schedule of Classes.