The course will employ a variety of instructional methods to accomplish its objectives, including some of the following: lectures, computer labs as well as practical exercises, and may include guest speakers, audio-visual presentations, and projects/presentations by students.
- The role of the crime and intelligence analyst in operational policing and public safety.
- Transforming raw data into actionable intelligence end-product for criminal justice purposes.
- Role of the crime analyst in addressing the following areas:
- preventing crime at problem places;
- controlling high-activity offenders;
- protecting repeat victims;
- facilitating crime reduction strategies and models; and
- addressing displacement.
- Role of the criminal intelligence analyst in addressing the following areas:
- applying models in intelligence analysis;
- leveraging information sharing systems
- ensuring data integrity and analyzing evidence;
- mining data and recognizing criminal patterns; and
- displaying quantitative information.
At the conclusion of the course the successful student will be able to:
- Describe the history of crime and intelligence analysis and its function
- Explain the difference between crime analysis, criminal intelligence analysis, and competitive analysis
- Explain and apply the different techniques utilized in strategic analysis, administrative analysis and tactical analysis
- Explain the relationship between crime analysis and intelligence analysis in the public safety domain
- Identify the role of analysis in addressing local, national, and trans-national crime
- Apply the intelligence cycle to the work of crime and intelligence analysis
- Explain the relevance and application of information systems to crime and intelligence analysis
- Articulate the relevance of a variety of policing models (e.g. traditional, community-based, intelligence-led, and problem-oriented)
- Comprehend current issues associated with crime and intelligence analysis (e.g. resistance to change and changing paradigms)
- Utilize computer software for statistical and geographic analysis of crime patterns
- Analyze and interpret crime patterns by synthesizing and applying all theoretical and practical knowledge gained in the course
Evaluation will be carried out in accordance with ÌÇÐÄvlog´«Ã½policy. Evaluation will be based on the course objectives. The instructor will provide a written course outline with specific evaluation criteria at the beginning of the semester.
| Mid-term | 30% |
| Mini-Labs (4) | 20% |
| Final Project | 40% |
| Final Quiz | 10% |
| Total | 100% |
Texts and materials will be updated periodically as needed. An example of materials used are:
Boba, Rachel. Crime Analysis with Crime Mapping. Newbury Park, CA: Sage Publications, Inc. 2012, (3rd Ed).
Westphal, Christopher. Data Mining for Intelligence, Fraud & Criminal Detection: Advanced Analytics & Information Sharing Technologies. Boca Raton, FL: CRC Press (Taylor Francis Group), 2009.
Heuer, Richard J. Psychology of Intelligence Analysis. New York, NY: Novinka Books, 2006.
Courses listed here must be completed either prior to or simultaneously with this course:
- No corequisite courses
Courses listed here are equivalent to this course and cannot be taken for further credit:
- No equivalency courses