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Curricular information is subject to change
- Outline the steps to carrying out a risk assessment.
- Describe the principles of quantitative risk assessment (QRA).
- Design a QRA model structure to solve food/environmental safety problem.
- Develop and evaluate a quantitative risk assessment problem using numerical data.
- Discuss, interpret, utilise and explain the meaning of numerical outputs.
Indicative content includes:
1) Introduction to Risk Analysis and Risk Assessment: Definitions and Concepts
2) Principles of Quantitative Risk Assessment
3) Hazard Identification and Characterization
4) Exposure Assessment Techniques
5) Case Studies and Applications in Human, Animal and Environmental Health
6) Future Directions in Quantitative Risk Assessment
7) Practical Exercises and Simulation Models
Student Effort Type | Hours |
---|---|
Lectures | 24 |
Tutorial | 6 |
Computer Aided Lab | 24 |
Specified Learning Activities | 30 |
Autonomous Student Learning | 34 |
Total | 118 |
Not applicable to this module.
Description | Timing | Component Scale | % of Final Grade | ||
---|---|---|---|---|---|
Quizzes/Short Exercises: Series of MCQ Quiz's | Week 4, Week 7, Week 11 | Graded | No | 40 |
No |
Exam (In-person): An exam will take place, in a suitable computer lab, at the end of the module | Week 12 | Graded | Yes | 60 |
Yes |
Portfolio: Portfolio of weekly assignments (assignments must be completed after each class, knowledge and expertise gained is cumulative for each assignment and builds upon learning in previous weeks) | Week 12 | Pass/Fail Grade Scale | No | 0 |
No |
Resit In | Terminal Exam |
---|---|
Summer | Yes - 2 Hour |
• Group/class feedback, post-assessment
Formative feedback with weekly review of assignments. Immediate feedback after MCQ quizzes with details on answers including a tentative grade. Final summative assessment.
Name | Role |
---|---|
Mr Ciaran Monahan | Tutor |
Rajat Nag | Tutor |
Xin Wang | Tutor |