Hubert Pausch: Catalogue data in Spring Semester 2019

Name Prof. Dr. Hubert Pausch
FieldAnimal Genomics
Address
Professur für Tiergenomik
ETH Zürich, LFW B 58.2
Universitätstrasse 2
8092 Zürich
SWITZERLAND
Telephone+41 44 633 66 81
E-mailhubert.pausch@usys.ethz.ch
URLhttp://www.ag.ethz.ch
DepartmentEnvironmental Systems Science
RelationshipAssociate Professor

NumberTitleECTSHoursLecturers
751-1000-00LInterdisciplinary Project Restricted registration - show details
Only for Master Students in Agricultural Sciences and Food Sciences.

Prerequisite: successful completion of the bachelor programme.
4 credits3UB. Dorn, E. Frossard, C. Hartmann, M. Schuppler, H. Adelmann, J. Baumgartner, E. Buff Keller, T. Dalhaus, M. Erzinger, A. K. Gilgen, A. Grahofer, R. Hüppi, G. Kaufmann, M. Kreuzer, J. Nuessli Guth, L. Nyström, H. Pausch, M. Siegrist, A. Walter
AbstractDie Studierenden der Agrar- und Lebensmittelwissenschaft erarbeiten in interdisziplinären Teams Lösungen für Fragestellungen, welche ihnen von Projektpartnern entlang der Nahrungsmittelwertschöpfungskette gestellt werden. Die Studierenden präsentieren und diskutieren die Lösungen an der Schlussveranstaltung und verfassen einen Projektbericht.
ObjectiveDie Studierenden
- können für Fragestellungen von Partnern aus der Schweizer Nahrungsmittelwertschöpfungskette wissen-schaftlich fundierte und praxistaugliche Lösungen entwickeln.
- könne mit Hilfe von Grundlagen des Projektmanagements die Lösungsentwicklung zielgerichtet und effizient abwickeln sowie steuern.
- kennen Elemente der Teamarbeit und können diese in ihrem Projektteam zur Erarbeitung und Lösungsentwicklung erfolgreich anwenden;
- können die entwickelten Lösungen in mündlicher und schriftlicher Form nachvollziehbar, überzeugend und adressatengerecht präsentieren.
- reflektieren die geleistete Arbeit im Projektteam, mit dem Coach und als Einzelperson und ziehen daraus Kon-sequenzen für ihr weiteres Handeln in Projektteams.
ContentDie Studierenden der Agrar- und Lebensmittelwissenschaften bearbeiten Fragestellungen, welche ihnen von Projektpartnern aus der Praxis entlang der Schweizer Nahrungsmittelwertschöpfungskette gestellt werden. Dabei werden sie von einem Coach beider Studienrichtungen angeleitet und unterstützt. Sie lernen zudem selbstorganisiert ein praxisorientiertes Projekt in Zusammenarbeit mit dem Projektpartner und dem Coach abzuwickeln. Die Studierenden wenden ihre erworbenen fachlichen und überfachlichen Kompetenzen in ihrem Projektteam zur Erarbeitung und Entwicklung von Lösungen für die Fragestellungen des Projektpartners an. Die Studierenden präsentieren und diskutieren die Lösungen an der Schlussveranstaltung mit den Projektpartnern und verfassen einen schriftlichen Projektbericht zuhanden des Projektpartners. Die Studierenden reflektieren die geleistete Projektar-beit sowie ihre Team- und Projektmanagementkompetenzen.

Vorlesungszeit, Selbststudium, externe Projekttage:
Die Lehrveranstaltung findet am Donnerstag während dem Semester von 12:30-15:00 statt. Während der Semesterzeit arbeiten die Studierenden zudem ausserhalb der Vorlesungszeit im Selbststudium an den Projekten. Die externen Projekttage werden vom 17.6.19-20.6.19 im Seminarhaus Herzberg durchgeführt.
Prerequisites / NoticeUnterrichtssprache: Deutsch
751-6003-00LTraining Course in Research Groups (Large) Restricted registration - show details 6 credits13PM. Kreuzer, R. Mandel, E. Mandel, S. Neuenschwander, H. Pausch, S. E. Ulbrich
AbstractThe students will learn the conceptual and methodological background of research in the animal science groups of the Institute of Plant, Animal and Agroecosystem Science. In addition to teaching the theoretical background, the major aim of the course is to integrate the students into the research groups (on job training) and, hence, to focus on the practical application of the knowledge.
Objective- Introduction into the conceptual and methodological basis of research
- Integration of the students into the research groups (on job training)
- Application of the gained knowledge
ContentThe students will be integrated into the research groups’ day-to-day work and will thus deal with all aspects of scientific work. This comprises the planning (conceptually and logistically), execution (data collection, laboratory analyses) and evaluation (statistics, data presentation) of experiments as well as the basics of scientific writing (aim: later publication, Master thesis). The research topics and the range of methodologies vary between the animal science research groups of the Institute of Plant, Animal and Agroecosystem Sciences.
Lecture notesNone
LiteratureSpecific readings after enlisting in a particular research group.
Prerequisites / NoticeThe number of training slots in the various groups is limited. It is therefore highly recommended to contact the group leaders early enough (first come first serve).
The full integration in a research group often means to work on weekends.
The total time budget is equivalent to about 180 hours. Active participation in group meetings (discussion, presentation) and short written reports about the work conducted are required for the 6 credit points. There are no grades, it is only pass or fail.
751-6003-01LTraining Course in Research Groups (Small) Restricted registration - show details 3 credits6PM. Kreuzer, R. Mandel, E. Mandel, S. Neuenschwander, H. Pausch, S. E. Ulbrich
AbstractThe students will learn the conceptual and methodological background of research in the animal science groups of the Institute of Plant, Animal and Agroecosystem Science. In addition to teaching the theoretical background, the major aim of the course is to integrate the students into the research groups (on job training) and, hence, to focus on the practical application of the knowledge.
Objective- Introduction into the conceptual and methodological basis of research
- Integration of the students into the research groups (on job training)
- Application of the gained knowledge
ContentThe students will be integrated into the research groups’ day-to-day work and will thus deal with all aspects of scientific work. This comprises the planning (conceptually and logistically), execution (data collection, laboratory analyses) and evaluation (statistics, data presentation) of experiments as well as the basics of scientific writing (aim: later publication, Master thesis). The research topics and the range of methodologies vary between the animal science research groups of the Institute of Plant, Animal and Agroecosystem Sciences.
Lecture notesNone
LiteratureSpecific readings after enlisting in a particular research group.
Prerequisites / NoticeThe number of training slots in the various groups is limited. It is therefore highly recommended to contact the group leaders early enough (first come first serve).
The full integration in a research group often means to work on weekends.
The total time budget is equivalent to about 90 hours. Active participation in group meetings (discussion, presentation) and short written reports about the work conducted are required for the 3 credit points. There are no grades, it is only pass or fail.
751-6244-00LGenomic Animal Breeding3 credits3GH. Pausch
AbstractMolecular marker-based methods and applications in animal breeding and genetics are introduced by discussing approaches to discover genomic regions associated with monogenic and complex traits, genomic prediction as well as the properties of genomic breeding values. Participants analyse real genomic data with the R-package and thus acquire the skills to carry out own research projects.
ObjectiveAfter the course, students will be able to
- work with widely-used formats of genomic data
- process and interpret raw sequencing and genotyping data
- explain and identify the challenges, opportunities and risks associated with applying molecular marker data in animal breeding and animal genetics
- apply common statistical methods to correlate phenotypes and genotypes
- carry out research projects that involve molecular marker data
Content- Principles of generating, processing and analysing whole-genome sequencing and genotyping data
- Statistical approaches to map quantitative trait loci using genome-wide association studies
- Calculation of genomic relationship and inbreeding coefficients
- Principles of genomic prediction and selection
- Bioinformatics approaches to characterize sequence variation at nucleotide level
- Approaches to identify causal mutations underlying Mendelian traits
- Strategies to consider Mendelian traits in genomic breeding programs
Lecture notesThe slides will be provided in advance of each lecture.
Prerequisites / NoticeLaptop with the R software for exercises
Basic experience with the R environment for statistical computing (a brief introduction into R will be provided upon request)