Module Menu

Module I – Foundations of Sensory Science:

Perception and physiology of the senses. Learn how the mind processes sensory information and how we are instruments for sensory testing. Physiological and psychological bases for sensory evaluation and tests with consumers. Conditions, Standards and Procedures ISO, ASTM and ABNT for sensory evaluation: laboratory, recruitment, selection and training of sensory panel. Performance monitoring of the sensory panel.

Module II – Sensometric Step 1:

Statistics applied to sensory measurements. Central tendency and dispersion measures; Binomial distribution; Student’s t test; Chi-square; Correlation and regression; analysis of variance; Multiple comparisons of means. Experimental Statistics. Hypothesis testing. Inference. Types of experimental errors.

Module II – Sensometric Step 2:

Multivariate statistical analysis. Factor analysis methods: Principal Component Analysis (ACP), Correspondence Analysis (AC) and Generalized Procrustes Analysis (APG). Cluster Analysis. Multiple regression analysis. Design of experiments. Response Surface Methodology, optimization of products and processes.

Module III – Sensory Evaluation Methods:

Discriminative Methods. Signal detection theory, R-Index and Thurstonian modeling. Descriptive Methods. Conventional descriptive profile and its variations. Descriptive methods with consumers. Time and intensity measures. Temporal Dominance of Sensations (DTS). Classical Olfactory Evaluation of Perfumery. Instrumental methods and relations with sensory evaluation. Understand when instrumental measurements of sensory properties are warranted. 

Module IV – Consumer Testing Methods:

Qualitative methods. Quantitative affective methods of preference and acceptability, descriptive, among others. Population sampling, recruitment, central location testing, home use and virtual environments. Segmentation studies. Preference maps and the relationship with the sensory characteristics of the products. Projective Maps. Perception Maps. Expectation and context studies and their relationships. Study of Emotions. Methods applied to children. Market research methods associated with sensory research. Consumer data and sensory evaluation data to optimize product sensory, quality and marketing opportunities.

Module V – Consumer Science:

Conjoint Analysis: Definition and Applications in Consumer Research using full factorial designs and data analysis. Emotions and their effects on the choice and consumption of products: explicit methods of data collection, advantages and disadvantages. Expectation and its influence on the perception of sensory attributes, acceptance and emotions. Conducting studies with children: specifics, scales and care in the development of protocols. Quali-Quantitative Methods: definitions, conduction and analysis of data.

Module VI – Scientific Methodology:

Methodology for design of experiments. Elements of an experiment. Classifications of experiments. Basis and monitoring of the stages of development of the Course Conclusion Work (TCC). Qualification criteria for the stages of the work: bibliographic survey, information planning and survey, detailed design, experimental development, data treatment and interpretation of results, qualification and final defense.

Module VII – Sensory Marketing:

Traditional versus experimental marketing. Consumer experience. Memorization. How and where to apply the sensory MKT. The use of multisensory characteristics. Sensory branding.

Module VIII – Neuroscience Applied to Sensory Analysis:

Principles of Neuromarketing. Introduction to Neuroscience. Basic emotions. Objective and psychometric methodologies for measuring emotional impact. Evaluation of the emotional impact and memory on the consumption experience.

Module IX – Sensory Claims Substantiation for Advertising and Labeling

Proof and support of sensory claims. Importance of Briefing and design of the experiment. Brazilian regulatory standards and bodies for substantiating claims (ABNT, ANVISA, CONAR). International procedures and standards. Types of claims. Tests used to support the allegations. Data collection and analysis. Data treatment and interpretation of results.