Search result: Catalogue data in Spring Semester 2023
Food Science Bachelor  | ||||||||||||||||||||||||||||||||||||||||||
 ElectivesA list with possible electives will be published separately. | ||||||||||||||||||||||||||||||||||||||||||
| Number | Title | Type | ECTS | Hours | Lecturers | |||||||||||||||||||||||||||||||||||||
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| 551-1174-00L | Systems Biology | W | 5 credits | 2V + 2U | U. Sauer, P. Beltrao, J. Stelling, N. Zamboni | |||||||||||||||||||||||||||||||||||||
| Abstract | The 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. | |||||||||||||||||||||||||||||||||||||||||
| Learning objective | We 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 bioanalytical and statistical 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 Generally, we train critical thinking and active use of knoweldge in application to conrete biological problems. | |||||||||||||||||||||||||||||||||||||||||
| Content | During 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 proteomics 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 notes | Scripts to prepare the lectures will be provided via Moodle | |||||||||||||||||||||||||||||||||||||||||
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| 701-0614-00L | Allergies and Environment | W | 1 credit | 1V | P. Schmid-Grendelmeier | |||||||||||||||||||||||||||||||||||||
| Abstract | Allergic 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. | |||||||||||||||||||||||||||||||||||||||||
| Learning objective | Knowledge of the basics of allergic diseases in humans, especially the so-called atopic diseases. Knowledge of the environmental allergens and the possible mechanisms responsible for the increase in allergic reactions. Knowledge of the interactions between individual genetic predisposition, environmental allergens and other environmental factors such as air pollutants. | |||||||||||||||||||||||||||||||||||||||||
| Content | Basic types of allergic diseases. Concept of atopy and intolerances. Pathophysiology of IgE-mediated reactions including mechanisms of IgE regulation. Epidemiological data regarding the increase of allergies as environmental diseases No. 1 and reasons for this increase. Discussion of the most important inhalant and nutritional allergens such as pollen, house dust mites, fungal spores, food and food additives. | |||||||||||||||||||||||||||||||||||||||||
| Lecture notes | Scripts, leaflets and lecture notes are handed in. | |||||||||||||||||||||||||||||||||||||||||
| Literature | Scripts, leaflets and lecture notes are handed in. Suggested reading: Axel Trautmann und Jörg Kleine-Tebbe: Allergie-Diagnose/Allergie-Therapie Thieme-Verlag. 2 Auflage (2013) ISBN 978-3-13-142181-4 Leaflets: www.ck-care.ch https://www.ck-care.ch/en/information-sheets Edcuatioal short videos: https://www.ck-care.ch/online-campus Link | |||||||||||||||||||||||||||||||||||||||||
| Prerequisites / Notice | Basic knowledge in immunology (T /B cells, immunoglobulins) Interest in clinical symptoms and correlation with Environment and Immune system Possibilty of Master thesis in translational medecine | |||||||||||||||||||||||||||||||||||||||||
| 376-1175-00L | Thermoregulation and Sportswear | W | 1 credit | 1V | R. M. Rossi | |||||||||||||||||||||||||||||||||||||
| Abstract | This 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. | |||||||||||||||||||||||||||||||||||||||||
| Learning objective | The 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. | |||||||||||||||||||||||||||||||||||||||||
| Content | Als 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 notes | wird jeweils vor der Vorlesung elektronisch zur Verfügung gestellt. | |||||||||||||||||||||||||||||||||||||||||
| 252-0840-02L | Application-Oriented Programming with Python | W | 2 credits | 2G | L. E. Fässler, M. Dahinden | |||||||||||||||||||||||||||||||||||||
| Abstract | This course provides important basic concepts for interdisciplinary programming projects with Python. | |||||||||||||||||||||||||||||||||||||||||
| Learning objective | Students learn... - how to encode a problem into a program, test the program, and correct errors. - to understand and improve existing code. - deal with the complexity of real data. - store data in a suitable data structure. - to implement models from the natural sciences as a simulation. - run random experiments and interpret the results. - explain and apply standard algorithms. | |||||||||||||||||||||||||||||||||||||||||
| Content | The following programming concepts are introduced in the lecture: 1. Variables, data types 2. Control structures, logic 3. Sequential data types, search- and sort algorithms, simulating, modelling 4. Functions, modules , simulation and animation 5. Matrices, random experiments, Cellular automata 6. Classes and objects 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. | |||||||||||||||||||||||||||||||||||||||||
| Literature | L. Fässler, M. Dahinden, D. Komm, and D. Sichau: Einführung in die Programmierung mit Python. Begleitunterlagen zum Onlinekurs und zur Vorlesung, 2022. ISBN: 978-3-7562-1004-6. | |||||||||||||||||||||||||||||||||||||||||
| Prerequisites / Notice | No 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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| 701-0245-00L | Evolutionary Analysis | W | 2 credits | 2V | S. Wielgoss, G. Velicer | |||||||||||||||||||||||||||||||||||||
| Abstract | This course introduces important questions about the evolutionary processes involved in the generation and maintenance of biological diversity across all domains of life and how evolutionary science investigates these questions. | |||||||||||||||||||||||||||||||||||||||||
| Learning objective | This course introduces important questions about the evolutionary processes involved in the generation and maintenance of biological diversity across all domains of life and how evolutionary science investigates these questions. The topics covered range from different forms of selection, phylogenetic analysis, population genetics, life history theory, the evolution of sex, social evolution to human evolution. These topics are important for the understanding of a number of evolutionary problems in the basic and applied sciences. | |||||||||||||||||||||||||||||||||||||||||
| Content | Topics likely to be covered in this course include research methods in evolutionary biology, adaptation, evolution of sex, evolutionary transitions, human evolution, infectious disease evolution, life history evolution, macroevolution, mechanisms of evolution, phylogenetic analysis, population dynamics, population genetics, social evolution, speciation and types of selection. | |||||||||||||||||||||||||||||||||||||||||
| Lecture notes | Lecture slides, Papers, and Online Tools | |||||||||||||||||||||||||||||||||||||||||
| Literature | Main Textbook: Evolutionary Analysis Scott Freeman and Jon Herron 5th Edition, English. Minor resource: Evolutionary Parasitology Paul Schmid-Hempel 2nd edition, English. | |||||||||||||||||||||||||||||||||||||||||
| Prerequisites / Notice | The exam is based on lecture, textbook, and provided papers. | |||||||||||||||||||||||||||||||||||||||||
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