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This module examines how crime is measured, interpreted, and communicated within American society. Students will analyze how crime is portrayed in the news media and assess whether those portrayals accurately reflect crime trends and realities. By comparing media coverage with statistical data from assigned readings, students will explore how public perceptions of crime can be shaped—or distorted—by selective reporting. The module also focuses on how crime data are collected through systems such as the National Crime Victimization Survey (NCVS) and the Uniform Crime Reports (UCR). Students will examine the strengths and limitations of these data sources, including the concept of the “dark figure of crime.” In addition, the module introduces crime forecasting and the use of Bayesian Probability Theory as a tool for addressing gaps in traditional crime statistics. Together, these activities emphasize the importance of critical thinking, data literacy, and informed evaluation of crime information.

• Complete assigned readings or instructional materials.
• Participate in discussions or applied learning activities.
• Complete written, practical, creative, or problem-based assignments.
• Review instructor feedback and module expectations.
• Review all materials carefully before beginning assignments.
• Follow assignment instructions and grading rubrics closely.
• Proofread all submissions before posting or uploading.
• Ask questions early if anything is unclear.