Course - Descriptive Sensory Methods and Statistics and Research Planning - MATV4008
MATV4008 - Descriptive Sensory Methods and Statistics and Research Planning
About
Lessons are not given in the academic year 2023/2024
Course content
Statistics and research planning: -Uncertainty analysis -Hypothesis testing -Simple linear regression -Experimental design with two-level factorial experiments -Analysis of variance (ANOVA) -Nonparametric methods -Use of Excel and 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.
Learning outcome
Statistics and research planning: 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 their work orally and in writing (F5) and be able to follow guidelines for writing the home exam (G2).
Learning methods and activities
Statistics and research planning: Lectures (24 h), exercises (8 h).
Descriptive Sensory Methods: Lectures (12 h), laboratory tests (6 h), seminars (8 h), individual study (40-15 h), group study (15 h) and oral presentation (2 h)
Compulsory assignments
- Four approved exercises in Statistics and research planning
- Participation in one group presentation in Descriptive sensory methods
- Participation in three laboratory exercises in Descriptive sensory methods
Further on evaluation
Statistics and research planning: Four exercises must be approved to access the written exam.
Descriptive sensory methods: To be able to submit the home exam, the two work requirements (participation as an assessor in the three sensory tests and the group presentation) must be approved.
Each grade (written exam in Statistics and research planning, assignment/work in Descriptive sensory methods) counts 50% of the total grade in the course. Both the written exam and the home exam must be passed in order to pass the course.
New/postponed written exam: In august
New/postponed home exam: By appointment with the lecturers
Specific conditions
Admission to a programme of study is required:
Biotechnology (MBIOT5)
Biotechnology (MSBIOTECH)
Chemical Engineering and Biotechnology (MTKJ)
Food Science, Technology and Sustainability (FTMAMAT)
Recommended previous knowledge
Knowledge in statistics corresponding to MATV2002 - Statistics and sensory methods, are recommended
Required previous knowledge
Admission to the course requires that you are enrolled as a student at NTNU, Trondheim. The course is compulsory for the master's students in Food Science, Technology and Sustainability (FTMAMAT)
Course materials
Statistics and research planning:
-Probability and Statistics for Engineers and Scientists (9th Edition) by Ronald E. Walpole.
Descriptive Sensory Methods:
-Lawless, H. T., & Heymann, H. (2010). Sensory evaluation of food: principles and practices (2 ed.). New York: Springer. (online Oria) - Delarue, J., Lawlor, J., Rogeaux, M., & Ares, G. (2015).
-Delarue, J., Lawlor, J. B., Rogeaux, M., & Ares, G. (2015). Rapid sensory profiling techniques and related methods : applications in new product development and consumer research: Vol. Number 274. Woodhead Publishing.
-Papers and lectures available on Blackboard
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Credit reductions
| Course code | Reduction | From | To |
|---|---|---|---|
| TBT4506 | 3.7 | AUTUMN 2020 | |
| TBT4507 | 3.7 | AUTUMN 2020 |
No
Version: 1
Credits:
7.5 SP
Study level: Second degree level
No
Language of instruction: English, Norwegian
Location: Trondheim
- Technological subjects
Department with academic responsibility
Department of Biotechnology and Food Science
Examination
Examination arrangement: Aggregate score
- Term Status code Evaluation Weighting Examination aids Date Time Examination system Room *
- Autumn NY School exam 50/100 D 2023-11-29 09:00 INSPERA
-
Room Building Number of candidates SL111+SL210 Sluppenvegen 14 2 - Autumn NY Home examination 50/100 INSPERA
-
Room Building Number of candidates
- * The location (room) for a written examination is published 3 days before examination date. If more than one room is listed, you will find your room at Studentweb.
For more information regarding registration for examination and examination procedures, see "Innsida - Exams"