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2021/22 Taught Postgraduate Module Catalogue

FOOD5472M Sensory Science

20 creditsClass Size: 100

Module manager: Dr Peter Ho
Email: p.ho@leeds.ac.uk

Taught: Semesters 1 & 2 (Sep to Jun) View Timetable

Year running 2021/22

Module replaces

FOOD5600M, FOOD5471M

This module is not approved as an Elective

Module summary

This module will examine techniques used in the analysis of sensory properties, including food texture. It is also aimed at providing practical training in sensory analysis techniques and statistical methods for the analysis of sensory data.

Objectives

On completion of this module students will be better able to:
1) Understand the principles and techniques for sensory measurement and analysis
2) Design, apply and interpret statistically valid sensory analysis methods to assess food quality and consumer preferences
3) Understand the scientific principles and methods for measuring food texture and rheological properties

Learning outcomes
On completion of this module students will be better able to:
1. Understand the basic principles of sensory analysis and the factors that affect sensory perception
2. Design and conduct sensory tests for selecting sensory assessors, sample preparation
3. Apply statistical methods for the analysis and interpretation of sensory data
4. Outline instrumental measurement techniques for food texture and discuss the relationship between
sensory and food texture attributes

Skills outcomes
On completion of this module students will be better able to:
1. use computerised sensory tools to plan and design sensory tests
2. use statistical packages to analyse data from a range of different sensory analysis tests used in quality control, new product development and research.


Syllabus

- Sensory Panels and sensory tests
- The design and analysis of sensory tests
- Methods for measuring food texture and rheological properties in foods and on-line measurements

Teaching methods

Due to COVID-19, teaching and assessment activities are being kept under review - see module enrolment pages for information

Delivery typeNumberLength hoursStudent hours
Computer Class62.0012.00
In Course Assessment41.004.00
Meetings51.005.00
Lectures91.009.00
Practicals41.004.00
Class tests, exams and assessment12.002.00
Private study hours164.00
Total Contact hours36.00
Total hours (100hr per 10 credits)200.00

Private study

The module will be delivery using team-based learning. This requires students to do planned independent study and independent and group learning. The module is divided into 4 main content areas covering the learning outcomes and 1 for introducing the use of the team-based learning methodology. For each of the content areas, students are required to do a pre-assigned reading assignment prior to the first in-course MCQ. The MCQs will be divided into an individual and group MCQ. Feedback on MCQ will be provided immediately after the MCQs and students will work in teams where they can examine their answers and can submit an appeal against the group mark. Teams will be required to provide a written justification as to the reasons why they feel that the answer they provided should be provided with a mark. Independent learning is also required for the planned group assignment, which would allow for the contribution of each member of the team to the group assignment. This is essential as all group work will be peer assessed. Independent learning and private study is also required for the statistics assignment. Students should also consider spending 1 hour as part of their planned private study to prepare for the practical sessions. The remaining private study time should be used for report writing, reading and studying for in-course MCQs and the final exam.

Opportunities for Formative Feedback

Feedback will be provided for each of the 4 subject area as follows. A Team Appeal’s session will be provided after each of the MCQs to allow students to discuss their answers. Answers to the MCQs will be provided. A group assignment for each subject area will be assessed with a 1000 word essay. Practical application (statistical analysis and practical sessions) will be assessed with individual report.

Methods of assessment

Due to COVID-19, teaching and assessment activities are being kept under review - see module enrolment pages for information


Coursework
Assessment typeNotes% of formal assessment
Practical4 reports10.00
In-course MCQ4 MCQ's10.00
In-course MCQ4 group MCQ's10.00
Group Project/Project/DissertationGroup Assignments; 4 1000 word essays10.00
Self/Peer AssessmentSingle online peer assessment form10.00
Total percentage (Assessment Coursework)50.00

Normally resits will be assessed by the same methodology as the first attempt, unless otherwise stated


Exams
Exam typeExam duration% of formal assessment
Online MCQ2 hr 00 mins50.00
Total percentage (Assessment Exams)50.00

Normally resits will be assessed by the same methodology as the first attempt, unless otherwise stated

Reading list

The reading list is available from the Library website

Last updated: 30/06/2021 16:21:41

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