LLEK10259U Advanced Sensory Methods and Sensometrics
The students will gain insight in how to
perform sensory tests (scope, application, testing
environment and methods) and analysis of sensory and
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).
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.
- Overview over current and advanced analytical and affective sensory test methods, their scopes, applications and data analysis
- 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
- 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.
- Practical exercises
- Theory exercises
- 7,5 ECTS
- Type of assessment
- Written examination, 4 hours under invigilationTypically 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.
- All aids allowed
- Marking scale
- 7-point grading scale
- Censorship form
- No external censorship
More than one internal examiner
- If 10 or fewer register for the re-examination the examination form will be oral.
Criteria for exam assesment
Fullfilment of the learning outcomes