Descriptive Sensory Methods and Experimental design and data analysis

This course consist of two parts; "Experimental design and data analysis" and "Descriptive sensory methods".

Experimental design and data analysis:-Uncertainty analysis,-Hypothesis testing,-Simple and Multiple linear regression,-Experimental design with two-level factorial experiments,-Analysis of variance (ANOVA),-Nonparametric methods,-IBM SPSS for statistical analysis.

Descriptive sensory methods: -Brief introduction to anatomy and physiology related to sensory science and the use of sensory analysis in research and industry. -Sensory methods (descriptive) and reporting of sensory results -Use of software for sensory analysis -Some statistics and multivariate analysis of sensory data.

Experimental design and data analysis: The students will have comprehensive knowledge and skills in relevant theory, methods, current problems and fields of applications within the chosen topics. The student has knowledge of the basic statistical models and methods used in science and technology. The student can interpret results of hypothesis testing, regression analysis, experimental design, analysis of variance and nonparametric methods. The student can use software for statistical calculations and analyzes.

Descriptive sensory methods: The students will have comprehensive knowledge and skills in descriptive sensory research (K1, K2) and be able to obtain and use literature and research on sensory science (F2, F4). The students can interpret, discuss, present, and evaluate sensory data orally and in writing (F5) and be able to follow guidelines for writing the home exam (G2).

Experimental design and data analysis: Lectures (24 h), exercises (8 h).

Descriptive Sensory Methods: Lectures (12 h), laboratory tests (2-6 h), seminars (8 h), individual study (40-15 h), group study (15 h) and oral presentation (2 h)