CJ 355 - Predictive Policing and Behavioral Analytics

This course examines the use of data-informed strategies to forecast crime and understand offender behavior. Students will explore predictive policing models, crime pattern analysis, and behavioral analytics, applying both quantitative and qualitative data to real-world scenarios. Topics include hot spot analysis, risk terrain modeling, ethical and privacy considerations, and the impact of bias on community trust, as well as emerging tools. Emphasis is placed on integrating criminological theories with advanced analytical tools to improve crime prevention and resource allocation. Semester Credit Hours: 3.00 Contact Hours: 45/00/00/45 Prerequisite: None. Corequisite: None.