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Curricular information is subject to change
After successful completion of this course, students are expected to be able to:
1. Explain the basic principles underlying the measurements of different classes of non-accidental food issues when using specific methodologies.
2. Interpret selected data which demonstrate important aspects of qualitative and quantitative analysis.
3. Develop food investigation strategies which require a diversity of modern methodologies and which must be often used in combination to achieve the desired result in practical use.
The module focuses on the identification and comprehension of food issues using a wide variety of methodologies. The type of methodologies applied can be divided into three key course elements: (A): Intelligence analysis, (B) Product analysis, and (C) Root cause analysis.
Student Effort Type | Hours |
---|---|
Lectures | 24 |
Tutorial | 24 |
Autonomous Student Learning | 72 |
Total | 120 |
Not applicable to this module.
Description | Timing | Component Scale | % of Final Grade | ||
---|---|---|---|---|---|
Group Work Assignment: Assignment Intelligence analysis: Factsheet | n/a | Alternative linear conversion grade scale 40% | No | 10 |
|
Group Work Assignment: Assignment Root cause analysis: Video report | n/a | Alternative linear conversion grade scale 40% | No | 20 |
|
Exam (In-person): In-class test, individual test on the applied food investigation technologies in week 12 | n/a | Alternative linear conversion grade scale 40% | No | 50 |
|
Group Work Assignment: Assignment Product analysis: Infographic poster | n/a | Alternative linear conversion grade scale 40% | No | 20 |
Resit In | Terminal Exam |
---|---|
Spring | No |
• Feedback individually to students, post-assessment
• Group/class feedback, post-assessment
• Peer review activities
Not yet recorded.
Name | Role |
---|---|
Dr Jean-Christophe Jacquier | Lecturer / Co-Lecturer |
Dr Aleksandra Konic Ristic | Lecturer / Co-Lecturer |
Dr Zhijun Wang | Lecturer / Co-Lecturer |