Search result: Catalogue data in Spring Semester 2019

Food Science Master Information
Major in Human Health, Nutrition and Environment (Progr. Reg. 2017)
This section is only for the Food Science MSc Regulation 2017.
Methodology Subjects
NumberTitleTypeECTSHoursLecturers
752-2110-00LMultivariate Statistical Analysis Restricted registration - show details W3 credits2VC. Hartmann, A. Bearth
AbstractThe course starts by introducing some basic statistical concepts and methods, e.g. data exploration, the idea behind significance testing, and the use of the statistical software SPSS. Based on these fundaments, the following analyses are discussed: regression analysis, factor analysis and variance analysis.
ObjectiveStudents will learn to use multivariate analysis methods and to interpret their results, by means of theory and practice.
ContentThis course provides an introduction into the theories and practice of multivariate analysis methods that are used in the fields of food sensory science, consumer behavior and environmental sciences. The course starts by introducing some basic statistical concepts and methods, e.g. data exploration, the idea behind significance testing, and the use of the statistical software SPSS. Based on these fundaments, the following analyses are discussed: regression analysis, factor analysis and variance analysis. During the course, theoretical lectures alternate with practical sessions in which data are analyzed and their results are interpreted using SPSS.


Agenda

21.02 Introduction to the course and basic concepts of multivariate statistics (Hartmann) in Room HG D5.2

28.02 Data handling and exploration + SPSS Introduction (Hartmann)

07.03 Exercise 1a+b (Hartmann)

14.03 Basic Statistical Tests (Bearth)

21.03 Exercise 2: Basic Statistical Tests (Bearth)

28.03 Regression analysis (Hartmann)

04.04 Exercise 3: Regression analysis (Hartmann)

11.04 Variance Analysis (Bearth)

18.04 Exercise 4: Variance Analysis (Hartmann)

02.05 Reliability Analysis (Bearth)

09.05 Principle Component Analysis (Bearth)

16.05 Exercise 5: PCA and Reliability Analysis (Hartmann)

23.05 EXAM (Room will be announced)
LiteratureField, A. (2013). Discovering Statistics Using SPSS (all Editions). Sage Publications. ISBN: 1-4462-4918-2
Prerequisites / NoticeThis course will be given in English.
752-2310-00LPhysical Characterization of FoodW3 credits2VP. A. Fischer, R. Mezzenga
AbstractIn Physical Characterization of Food introductions into several measuring techniques to study complex colloidal food system are given. Lectures will focus on scattering techniques, interfacial tension measurements, ellipsometry, microscopy, NMR, and thermoanalysis. The measuring principles and its application in the food and related areas will be discussed.
ObjectiveThe basic principles of several frequently used characterization methods and their application will be presented. The course is intended to spread awareness on the capability of physical measuring devices used in food science and related areas as well as provide a guidance for their usage and data interpretation.
ContentLectures will be given on light scattering techniques (4h), interfacial tension measurements (4h), microscopy (4h), small angle scattering (4h), NMR (4h), and thermoanalysis (2h).
Lecture notesNotes will be handed out during the lectures.
LiteratureProvided in the lecture notes
752-6201-00LResearch Methodology in Nutrition Information W3 credits2VI. Herter-Aeberli
AbstractThe lectures cover different methodologies applied in the field of nutrition research including methods to assess mineral/vitamin status, body composition, immunochemical techniques, animal studies, and food sensory science and with a speical focus on theoretical and practical knowledge of dietary assessment studies. The challenge of ethical issues in human studies is illustrated and discussed.
ObjectiveTo get an overview of research methodologies used in the field of nutrition and to become more familiar with some of the most important methods.
ContentThe methodologies include stable isotope techniques, balance studies, body composition assessment, immunochemical techniques, animal studies and food sensory science. The challenge of ethical issues in human studies will be illustrated and discussed.
The theoretical and practical knowledge of dietary assessment methods will be imparted including an assessment of own nutrient intake. The dietary assessments will be evaluated using a nutrient software and statistical analysis.
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