BSEN30060 Quantitative Risk Assessment for Human and Animal Health

Academic Year 2024/2025

In this module you will be introduced to the basics of risk analysis describing each of its components. The methodology component, i.e. risk assessment, will then be described in more detail and will include an introduction to Risk Assessment software. Specific examples will be looked at including project management, public health, environmental (including water quality) and food safety risk assessment. Worked examples will be tailored to accommodate participating student interests (e.g. chemical and microbial risk assessment, environmental contamination, animal and public health issues). Each week you will undertake a practical focused on a specific risk question, intended to focus attention on formulating a risk assessment structure and solution. Focus will be on independent student thinking to design numerical risk assessments, solve food and environmental safety issues, interpret numerical results and provide a series of risk reduction recommendations based on their assessment.

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Curricular information is subject to change

Learning Outcomes:

- 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 Module Content:

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 Hours: 
Student Effort Type Hours
Lectures

24
Tutorial

6
Computer Aided Lab

24
Specified Learning Activities

30
Autonomous Student Learning

34
Total

118
Approaches to Teaching and Learning:
Lectures followed by enquiry and problem-based learning. The Quantitative Risk Assessment module employs diverse learning approaches, blending theoretical lectures with practical exercises. Real-world case studies and group discussions enhance understanding, preparing students for complex risk assessment challenges. 
Requirements, Exclusions and Recommendations

Not applicable to this module.


Module Requisites and Incompatibles
Not applicable to this module.
 
Assessment Strategy  
Description Timing Open Book Exam Component Scale Must Pass Component % of Final Grade
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) n/a Pass/Fail Grade Scale No

0
Exam (In-person): An exam will take place, in a suitable computer lab, at the end of the module n/a Graded Yes

60
Quizzes/Short Exercises: Series of MCQ Quiz's n/a Graded No

40

Carry forward of passed components
Yes
 
Resit In Terminal Exam
Summer Yes - 2 Hour
Please see Student Jargon Buster for more information about remediation types and timing. 
Feedback Strategy/Strategies

• Group/class feedback, post-assessment

How will my Feedback be Delivered?

Formative feedback with weekly review of assignments. Immediate feedback after MCQ quizzes with details on answers including a tentative grade. Final summative assessment.

Risk Analysis- A Quantitative Guide, Third Edition

Author: David Vose
Type: Hardback
ISBN: 9780470512845
Date: 14th March, 2008
Publisher: JOHN WILEY & SONS, INC.
Name Role
Mr Ciaran Monahan Tutor
Rajat Nag Tutor
Xin Wang Tutor