Accident Causation Theory
Accident causation theory is the art and science that seeks to understand the deeper roots of why accidents happen. Understanding accident causation theory is essential in determining why workplace incidents occur and so that we can prevent re-occurrences. Through examples and case studies, students will gain an overview of the most important theories, strengths and weaknesses of each, and learn how to select the best theories and models to better understand why accidents occur.
Course at a glance
- A fully online, asynchronous course accessible through eClass, the University of Alberta’s eLearning management tool.
- Aimed at entry-level and practicing health and safety coordinators, professionals, officers, technicians, supervisors, trainers, management, and administrators.
What you will learn
By the end of this course, you should be able to:
- Understand why theories and models are important in the professional practice of OHS.
- Identify the origin of a particular model (e.g. ergonomics, management, or psychology).
- Describe the main elements of causation theories and models.
- Outline strengths and weaknesses of different models and select the most appropriate model(s) for each situation.
- Understand how each model may be applied to various incidents.
This course has no prerequisites
Students from all educational backgrounds welcome. You can register for this course without applying and enrolling in a program.
Take note:
- Primary reading resource: BCRSP Accident Theory Study Guide, available in a PDF format through eClass.
- Selected readings indicated for each course module are intended to provide you with a point of focus for some the most essential concepts; the primary reading resource, however, should be throroughly reviewed as part of your course activities.
- Graded on a pass or fail basis: a passing grade of 70% or higher is required to receive Completed Requirements (CR) on your transcript.
When will this course be offered?
New course schedules are released each June and November.
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