CJ 225 - Predictive Policing and Crime Technology

This course introduces students to the foundational concepts, tools, and models used to forecast criminal activity and inform public safety strategies. The course examines major predictive models, their practical applications, and their limitations, while analyzing the ethical challenges posed by algorithmic bias, surveillance, and data-driven decision-making. Students will apply current technologies to real-world scenarios and evaluate their use within legal, regulatory, and constitutional boundaries. The course also investigates research methodologies, data sources, and emerging innovations to prepare students for the future of technology-driven policing. Semester Credit Hours: 3.00 Contact Hours: 45/00/00/45 Prerequisite: None. Corequisite: None.