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BSEN30060

Academic Year 2024/2025

Quantitative Risk Assessment for Human and Animal Health (BSEN30060)

Subject:
Biosystems Engineering
College:
Engineering & Architecture
School:
Biosystems & Food Engineering
Level:
3 (Degree)
Credits:
5
Module Coordinator:
Professor Enda Cummins
Trimester:
Spring
Mode of Delivery:
On Campus
Internship Module:
No
How will I be graded?
Letter grades

Curricular information is subject to change.

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.

About this Module

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
Specified Learning Activities

30
Autonomous Student Learning

34
Lectures

24
Tutorial

6
Computer Aided Lab

24
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 Component Scale Must Pass Component % of Final Grade In Module Component Repeat Offered
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

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

Timetabling information is displayed only for guidance purposes, relates to the current Academic Year only and is subject to change.
Spring Lecture Offering 1 Week(s) - 20, 21, 22, 23, 24, 25, 26, 29, 30, 31, 33 Fri 09:00 - 09:50
Spring Computer Aided Lab Offering 1 Week(s) - 20, 21, 22, 23, 24, 25, 26, 29, 30, 31, 33 Fri 10:00 - 11:50
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