(Perm Req) An introduction to modern methods used in the detection, investigation and solution of crimes. Practical analysis of evidence in a crime laboratory, including fingerprints and other impressions, firearms ID and ballistics, hairs and fibers, document examination, and use of polygraph. This class is taught using a "blended learning" format divided equally with presentation of online recorded lectures, case studies, webcasts and readings; and practical examination of criminalistics procedures and evidence identification exercises in the CCJS Crime Laboratory. There are lab fees associated with this course.
Course Offerings:
    Fall 2024 Instructor: Unlisted/TBD Co-Instructor: View: Syllabus
This course is designed to assist criminology and criminal justice students explore career opportunities. Topics will include: graduate school, law school, career opportunities in federal, state, local, and public agencies, resume writing, and internships.
Course Offerings:
    Fall 2024 Instructor: Shannon Sibel Co-Instructor: View: Syllabus
This course will analyze the role of criminology and criminal justice in the understanding and control of cannabis use and abuse.
Course Offerings:
    Fall 2024 Instructor: Alan Robertson Lehman Co-Instructor: View: Syllabus
Current concept of criminal justice in relationship to other concepts in the field. Historical perspective. Criminal justice and social control. Operational implications. Systemic aspects. Issues of evaluation.
Course Offerings:
    Fall 2024 Instructor: Brian Johnson Co-Instructor: View: Syllabus
Designed to help criminology students understand and apply three important components of statistics: decriptive statistics (including probability theory), fundamentals of statistical inference, and regression analysis. Course assumes familiarity with basic descriptive statistics. The emphasis of the classes on descriptive statistics is the calculation and interpretation of summary statistical measures for describing raw data. Covers the basic rules of probability and different probabilistic processes that could describe criminal activity. The sessions on fundamentals of statistical inferences are designed to provide background for executing and interpreting hypothesis tests and confidence intervals. The latter portion of the course focuses on regession analysis. Uses the statistical software, Stata.
Course Offerings:
    Fall 2024 Instructor: Sarah Tahamont Co-Instructor: View: Syllabus