LLEK10259U  Advanced Sensory Methods and Sensometrics

Volume 2014/2015
Education
MSc Programme in Food Science and Technology
Content

 

The students will gain insight in how to perform sensory tests (scope, application, testing environment and methods) and analysis of sensory and consumer data.

Theory will be combined with tutorials and will cover sensory analysis with trained panels and consumer panels including: analysis of sensory panel performance, descriptive sensory analysis techniques (including classical methods, CATA and emotional mapping), discrimination/similarity testing, temporal methods, fast mapping techniques (Napping, Flash Profile, Consensus Profile, etc.), acceptance tests in relation to external data (MDPref, PREFMAP, L-PLSR) and Conjoint Analysis. The methods will be presented, discussed and assessed for their merits and shortcomings in research, R&D and QC.

Tutorials will include an introduction to R and specific packages in R for sensory analysis. Other tutorials will utilise PanelCheck for sensory panel performance analysis and software for multivariate analysis (PCA and PLSR).

 

Learning Outcome

The course provides an overview of recent and more advanced sensory methods, techniques and data analysis tools. The objective is to learn the student to critically reflect over the design of sensory experiments, the analysis of sensory data, the interpreation and consequences of the outcomes for making decisions in business and research.

Knowledge:
- Overview over current and advanced analytical and affective sensory test methods, their scopes, applications and data analysis

Skills:
- Insight in how to handle sensory product evaluation
- Demonstrate knowledge on experimental sensory test designs and data analysis by univariate and multivariate methods
- Know the applications and limitations of different data analyses
- Ability to select test methods in relation to specific sensory and consumer test objectives
- Ability to interpret results of sensory experiments correctly
- Working knowledge of different statistical software programs

Competences:
- Evaluate the sensory test objective in relation to selecting the appropriate test method and experimental setup
- Reflect over sensory methods and data analysis tools in realistic sensory and consumer evaluation situations

Lecture notes and compendium (latest version). The compendium is available for purchase from Academic Books on Campus.

For the data analysis in this course you need a laptop with Windows based operating system.

Recommended Exploratory Data Analysis - Chemometrics (LLEF10174) and Sensory and Consumer Science (LLEF10198) or equivalent courses.
Lectures, tutorials and practical demonstrations as well as an excursion.
Credit
7,5 ECTS
Type of assessment
Written examination, 4 hours under invigilation
Typically 4-6 questions with sub-questions. The individual weight of the sub-questions may vary, but the percentage is always listed.
Exam registration requirements
Submission and approval of project report.
Aid
All aids allowed
Marking scale
7-point grading scale
Censorship form
No external censorship
More than one internal examiner
Re-exam
If 10 or fewer register for the re-examination the examination form will be oral.
Criteria for exam assesment

Fullfilment of the learning outcomes

  • Category
  • Hours
  • Lectures
  • 40
  • Theory exercises
  • 36
  • Practical exercises
  • 20
  • Preparation
  • 81
  • Excursions
  • 15
  • Exam
  • 4
  • Colloquia
  • 10
  • Total
  • 206