CRI-3318 is a statistics course for criminology students. The first part of the course starts by presenting the central limit theorem and the rationale behind hypothesis testing. Standard T statistics are then covered, along with multiple comparison tests of means, and nonparametric tests. The second part of the course includes bivariate correlations and a discussion on causality versus correlation. More advanced statistical techniques are then presented, including linear, logistic regressions and factor analysis. Every course has a theoretical and a practical angle. Students need to successfully conduct each analysis presented, using the R statistical software and the RMarkdown provided by the professor.

The seminar includes two angles: a theoretical angle and a practical angle. First, it introduces a range of criminological theories developed to this date to explain economic crimes. On the practical side, students work on contemporary issues (presented below) related to economic crime. Such issues are determined by organizations working in the field of prevention. During the semester, students present the results of their work to representatives of the organizations. The result of their work is also published online on this [page](https://www.econcrimelab.com/courses/economic-crime). However, note that the reports are written in French.

This course deepens students' knowledge of the various forms of economic crime, ranging from occupational fraud to collusion and tax evasion. Then, the course presents the roles of various regulatory agencies (beyond police agencies) working to detect and/or prevent economic crime. Students are also asked to perform practical exercises to learn about the various tools and databases available online.