Search result: Catalogue data in Spring Semester 2018

Food Science Bachelor Information
Electives (ONLY for Programme Regulations 2016)
A list with possible electives will be published separately.
NumberTitleTypeECTSHoursLecturers
551-1174-00LSystems BiologyW4 credits2V + 2UU. Sauer, K. M. Borgwardt, J. Stelling, N. Zamboni
AbstractThe course teaches computational methods and first hands-on applications by starting from biological problems/phenomena that students in the 4th semester are somewhat familiar with. During the exercises, students will obtain first experience with programming their own analyses/models for data analysis/interpretation.
ObjectiveWe will teach little if any novel biological knowledge or analysis methods, but focus on training the ability of use existing knowledge (for example from enzyme kinetics, regulatory mechanisms or analytical methods) to understand biological problems that arise when considering molecular elements in their context and to translate some of these problems into a form that can be solved by computational methods. Specific goals are:
- understand the limitations of intuitive reasoning
- obtain a first overview of computational approaches in systems biology
- train ability to translate biological problems into computational problems
- solve practical problems by programming with MATLAB
- make first experiences in computational interpretation of biological data
- understand typical abstractions in modeling molecular systems
ContentDuring the first 7 weeks, the will focus on mechanistic modeling. Starting from simple enzyme kinetics, we will move through the dynamics of small pathways that also include regulation and end with flux balance analysis of a medium size metabolic network. During the second 7 weeks, the focus will shift to the analysis of larger data sets, such as metabolomics and transcriptomics that are often generated in biology. Here we will go through multivariate statistical methods that include clustering and principal component analysis, ending with first methods to learn networks from data.
Lecture notesKein Skript
LiteratureThe course is not taught by a particular book, but two books are suggested for further reading:
- Systems Biology (Klipp, Herwig, Kowald, Wierling und Lehrach) Wiley-VCH 2009
- A First Course in Systems Biology (Eberhardt O. Voight) Garland Science 2012
701-0614-00LAllergies and EnvironmentW1 credit1VP. Schmid-Grendelmeier
AbstractAllergic diseases are common and of increasing importance. In this course symptoms and management of allergies such as hay fever, asthma, eczema or food allergy are presesented. The importnat interactions between environmental factors such as air quality, climate, nutrition and form and frequency of allergic diseases will be discussed.
ObjectiveKenntnis der Grundlagen der allergischen Erkrankungen bei Menschen, insbesonders der sogenannten Atopien. Kenntnis der Umweltallergene und der möglichen Mechanismen, welche für die Zunahme der allergischen Reaktionen verantwortlich sind. Kenntnis der Wechselbeziehungen zwischen individueller genetischer Prädisposition, Umweltallergenen und anderen Umweltfaktoren wie Luftschadstoffen.
ContentGrundtypen der allergischen Erkrankungen. Begriff von Atopien und Pseudoallergien. Pathophysiologie IgE-vermittelter Reaktionen inkl. Mechanismen der IgE-Regulation. Epidemiologische Daten über die Zunahme der Allergien als Umweltkrankheiten Nr. 1 und Gründe für ihre Zunahme. Besprechung der wichtigsten inhalativen und nutritiven Allergene wie Pollen, Hausstaubmilben, Pilzsporen, Nahrungsmittel und Nahrungsmittelzusätze.
Lecture notesMerkblätter resp Vorlesungsunterlagen werden abgegeben.
LiteratureAxel Trautmann und Jörg Kleine-Tebbe:
Allergie-Diagnose/Allergie-Therapie
Thieme-Verlag. 2 Auflage (2013)
ISBN 978-3-13-142181-4
376-1175-00LThermoregulation and SportswearW1 credit1VR. M. Rossi
AbstractThis lecture deals with fundamentals of human thermoregulation and treats different topics as the heat transfer of the body, hyper- and hypothermia, acclimatisation as well as thermal comfort and clothing thermal physiology.
ObjectiveThe goal of this lecture is to show the thermoregulatory mechanisms to maintain the body in thermal balance, as well as to treat the different heat exchange mechanisms with the environment and to demonstrate how state-of-the-art sports apparel can help maintaining the performance of the athlete.
ContentAls homöothermes Wesen muss der Mensch seine Körperkerntemperatur in engen Grenzen um 37°C halten. Die Wärmeproduktion muss im Gleichgewicht zur Wärmeabgabe stehen. Der menschliche Körper besitzt verschiedene Mechanismen, um Temperaturschwankungen der Umgebung zu kompensieren, wie z.B. die Vasodilatation und –konstriktion, Schwitzen, oder Frostzittern. Zusätzlich kann die Wahl einer adäquaten Kleidung die Klimaspanne, bei welcher ein Überleben möglich ist, fast beliebig vergrössern.
Zudem werden Grundlagen der Bekleidungsphysiologie präsentiert, und gezeigt, wie funktionelle Bekleidung bei unterschiedlichen Sportarten die thermophysiologischen Funktionen des Körpers unterstützen kann.
Lecture noteswird jeweils vor der Vorlesung elektronisch zur Verfügung gestellt.
252-0840-02LApplication-Oriented Programming Information W2 credits2GL. E. Fässler, M. Dahinden
AbstractThis course provides important basic concepts for interdisciplinary programming projects. The programming language is Python and Matlab.
ObjectiveStudents learn

- how to encode a problem into a program, test the program, and correct errors.
- to understand and improve existing code.
- to implement models from the natural sciences as a simulation.
ContentThe following programming concepts are introduced in the lecture:

1. Variables, data types
2. Condition check, Loops, logics
3. Arrays
4. Functions
5. Matrices
6. Random

In the practical part of the course, students work on small programming projects with a context from natural sciences. Electronic tutorials are available as preparation.
LiteratureL. Fässler, M. Dahinden, D. Komm, and D. Sichau: Einführung in die Programmierung mit Python und Matlab. Begleitunterlagen zum Onlinekurs und zur Vorlesung, 2016. ISBN: 978-3741250842.
Prerequisites / NoticeNo prior knowledge is required for this course.It is based on application-oriented learning. The students spend most of their time working through programming projects with data from natural science and discussing their results with teaching assistants. To learn the programming basics there are electronic tutorials available.
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