Information Package / Course Catalogue
Advanced Sensory
Course Code: GMP540
Course Type: Area Elective
Couse Group: Second Cycle (Master's Degree)
Education Language: Turkish
Work Placement: N/A
Theory: 3
Prt.: 0
Credit: 3
Lab: 0
ECTS: 8
Objectives of the Course

The aim of this course is to learn new and more advanced sensory testing methods applied to understand the sensory properties of foods and consumers' perception of food.

Course Content

Sensory analysis using trained panels and consumer panels, descriptive sensory analysis techniques, design and implementation of advanced sensory testing methods and examine the relative strengths and weaknesses of different advanced sensory testing methods.

Name of Lecturer(s)
Lec. Edibe Seda ERTEN
Learning Outcomes
1.Evaluate methods used in advanced sensory testing of foods.
2.Compare different sensory evaluation methods to select the most suitable for a food product.
3.Gain knowledge about various statistical methods used in sensory analysis.
4.Critically evaluate literature on recent trends in advanced sensory testing of food.
5.Design a descriptive sensory analysis of a selected food.
6.Design a descriptive sensory analysis of a selected food.
Recommended or Required Reading
1.Lawless, Harry T., and Hildegarde Heymann. Sensory evaluation of food: principles and practices. Springer Science & Business Media, 2010.
2.Moskowitz, Howard R., Jacqueline H. Beckley, and Anna VA Resurreccion. Sensory and consumer research in food product design and development. John Wiley & Sons, 2012.
Weekly Detailed Course Contents
Week 1 - Theoretical
Physiological and psychological basis of sensory functions in humans
Week 2 - Theoretical
Statistical methods used in sensory assesments
Week 3 - Theoretical
Scales used in sensory assessments
Week 4 - Theoretical
Sensory Methods: Difference Tests-General Principles
Week 5 - Theoretical
Advanced Discrimination Tests- Thurstonian model
Week 6 - Theoretical
Advanced Discrimination Tests- Signal Detection Theory
Week 7 - Theoretical
Advanced Discrimination Tests- R-index
Week 8 - Theoretical
Advanced Discrimination Tests- Sequential sensitivity analysis
Week 9 - Theoretical
Descriptive Analysis and Univariate analysis
Week 10 - Theoretical
Descriptive Analysis -Multivariate applications
Week 11 - Theoretical
Descriptive Analysis- Correlation, Regression and Principal Component Analysis
Week 12 - Theoretical
Consumer Tests: Acceptance tests
Week 13 - Theoretical
Consumer Tests: Preference tests
Week 14 - Theoretical
Consemer Tests: Real World applications and data analysis
Assessment Methods and Criteria
Type of AssessmentCountPercent
Midterm Examination1%20
Final Examination1%60
Assignment1%20
Workload Calculation
ActivitiesCountPreparationTimeTotal Work Load (hours)
Lecture - Theory1483154
Assignment113114
Midterm Examination115116
Final Examination115116
TOTAL WORKLOAD (hours)200
Contribution of Learning Outcomes to Programme Outcomes
PÇ-1
PÇ-2
PÇ-3
PÇ-4
PÇ-5
OÇ-1
4
3
2
3
3
OÇ-2
4
3
2
4
3
OÇ-3
4
3
3
4
4
OÇ-4
4
3
2
3
3
OÇ-5
4
3
3
4
3
OÇ-6
4
3
3
4
4
Adnan Menderes University - Information Package / Course Catalogue
2026