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Vorlesungsverzeichnis    
 
Die Überschrift Fakultät für Agrarwissenschaften aufklappen  Fakultät für Agrarwissenschaften    
 
Die Überschrift II.Double-Degree Programme   II.Double-Degree Programme "European Master of Animal Breeding and Genetic" (EMABG)    
 
Die Überschrift Block B - Elective compulsory modules aufklappen  Block B - Elective compulsory modules    
 
Die Überschrift a. Study Track   a. Study Track "Integrative Biology"    
 
Die Überschrift Sommersemester aufklappen  Sommersemester    
 
Die Überschrift M.iPAB.0006 Breeding informatics aufklappen  M.iPAB.0006 Breeding informatics    
   
SoSe 2021    740882     Vorlesung mit Übung    4 SWS    ECTS-Punkte: 6     Abteilung Züchtungsinformatik Teilnehmer/-in:   20     Dozent:   Schmitt

Termine

Tag Zeit Turnus Termin fällt aus am Lehrperson Raum
Montag 14:15 bis
15:45
wöch. 12.04.2021 bis
12.07.2021
      Tierzucht- / L09
Mittwoch 16:15 bis
17:45
wöch. 14.04.2021 bis
07.07.2021
      Tierzucht- / L09

Prüfungstermine:

Tag Zeit Turnus Termin fällt aus am Lehrperson Raum
Dienstag 16:15 bis
17:45
Klausur 13.07.2021 bis
13.07.2021
      Tierzucht- / L09
Dienstag 16:15 bis
17:45
Klausur 13.07.2021 bis
13.07.2021
      Tierzucht- / L05
Mittwoch 14:15 bis
15:45
Online-Klausur 13.10.2021 bis
13.10.2021
 



Kommentar:

Contents:
• Design and implementation of databases with mySQL
• Basic data structures
• Programming in R and Perl
• Regular expressions
• Design and implementation of pipelines for data analysis
• Shell scripts on Linux (gawk, sed)
• Relation of genotype - phenotype
• Measures to detect selection signatures
• Basic concepts of bioinformatics

Learning outcome, core skills:
Students deepen their knowledge of informatics methods to evaluate large datasets for
breeding issues.

Examination requirements:
Profound knowledge of informatic methods to evaluate large datasets for breeding
issues.



Voraussetzungen:

Basic knowledge of molecular genetics, statistics,
programing



Leistungsnachweis:

Written examination (90 minutes)


 
Die Überschrift M.iPAB.0008 Molecular and biotechnological methods in plant and animal breeding aufklappen  M.iPAB.0008 Molecular and biotechnological methods in plant and animal breeding    
   
SoSe 2021    740881     Blockveranstaltung    4 SWS    ECTS-Punkte: 6     Abteilung Funktional Breeding - Genetik und Züchterische Verbesserung funktionaler Merkmale Teilnehmer/-in:   20     Zugeordnete Lehrpersonen:   Tetens ,   Falker-Gieske ,   Mott

Termine

Tag Zeit Turnus Termin fällt aus am Lehrperson Raum
keine Angabe 09:00 bis
17:00
Block 06.09.2021 bis
17.09.2021
  Tierärztli / Raum 0.111

Prüfungstermine:

Tag Zeit Turnus Termin fällt aus am Lehrperson Raum
Sonntag 00:00 bis
23:45
Abgabe Hausarbeit 31.10.2021 bis
31.10.2021
 



Kommentar:

Contents:
Sample collection; DNA and RNA isolation; Sanger Sequencing including the usage of
appropriate software programs; Separation and visualization of nucleic acids; qualitative
and quantitative PCR; ELISA assays to determine hormone profiles or as a pregnancy/
non pregnancy testing system; microsatellites; SNP; AFLP; storage of DNA and RNA;
semen evaluation; in vitro generation and genetic analyses of embryos; direct and
indirect transformation; protoplasts, in vitro propagation, androgenesis and gynogenesis;
gene cloning.
Literature: e.g. Current Protocols in molecular biology; A practical guide to basic
laboratory endocrinology: Introduction to Plant Biotechnology

Learning outcome, core skills:
In addition to the theoretical background (Module M.Agr.0131 (Biotechnology and
molecular genetics in plant and animal breeding)), the students should improve their
basic knowledge in biotechnologies and molecular genetics by learning hand-on skills
in the lab. The students should be capable to perform experiments on their own and to
present them in an adequate manner.

Examination requirements:
The examinees should provide detailed information in their protocols including the
biological background of the methods. The examinee should show its independent
ability to conduct experiments in the lab.



Leistungsnachweis:

Protocol (max. 40 pages, 80%) and presentation (about 10 minutes,
20%)


 
Die Überschrift M.iPAB.0016 Applied effective R programming in animal breeding and genetics aufklappen  M.iPAB.0016 Applied effective R programming in animal breeding and genetics    
   
SoSe 2021    740817     Vorlesung mit Übung    2 SWS    ECTS-Punkte: 3     Leitung Department für Nutztierwissenschaften Teilnehmer/-in:   30     Zugeordnete Lehrpersonen:   Simianer ,   Reimer ,   Geibel

Termine

Tag Zeit Turnus Termin fällt aus am Lehrperson Raum
Freitag 12:45 bis
13:45
wöch. 16.04.2021 bis
16.07.2021
  Tierzucht- / L09

Prüfungstermine:

Tag Zeit Turnus Termin fällt aus am Lehrperson Raum
Sonntag 08:00 bis
18:00
Abgabe Hausarbeit 24.10.2021 bis
24.10.2021
 



Kommentar:

Contents:
Effective usage of the programming language R applied to animal breeding and genetics
examples. This includes detailed knowledge about the use of different data types
and objects in R, automation and optimization of workflows, connection to third party
software.
• Data input/ output
• Matrix algebra in R
• Effective data management
• Profiling/ Benchmarking
• String modifications
• Parallelization
• Running self-executable R scripts via the command line

Learning outcome, core skills:
The students will be able to efficiently use the programing language R on big animal
datasets and to implement automated workflows for animal data analysis. They also will
be enabled to distribute their implementations to end users.

Examination prerequisites:
Regular attendance of course
Examination requirements:
The term paper must include the code; self-executable application for a predefined task
with focus on efficiency and usability, short description on how the task was solved.



Voraussetzungen:

Basic command of R

Basic knowledge of the programming language R, for
example proven by the successful participation in the
modules
• M.Agr.0141: Data Analysis with R
• B.Agr.0375: Bioinformatik
• B.Agr.0308: Biometrie
or comparable modules or proofs of knowledge.



Leistungsnachweis:

Term paper (max. 30 pages) (max. 30 pages)



Organisatorisches:

Additional notes and regulations:
EMABG students will be taken preferred before all others. iPAB and M.Agr. Animal Science before others.


 
Die Überschrift M.Cp.0016 Practical Statistics and Experimental Design in Agriculture aufklappen  M.Cp.0016 Practical Statistics and Experimental Design in Agriculture    
   
SoSe 2021    740690     Vorlesung mit Übung    4 SWS    ECTS-Punkte: 6     Leitung Department für Nutzpflanzenwissenschaften Abteilung Pflanzenzüchtung Teilnehmer/-in:   30     Zugeordnete Lehrpersonen:   Sharifi ,   Kluth

Termine

Tag Zeit Turnus Termin fällt aus am Lehrperson Raum
Montag 08:15 bis
09:45
wöch. 12.04.2021 bis
12.07.2021
  Tierzucht- / L09
Mittwoch 12:15 bis
14:00
wöch. 14.04.2021 bis
14.07.2021
  Tierzucht- / L09
Mittwoch 14:15 bis
15:45
wöch. 14.04.2021 bis
14.07.2021
  Tierzucht- / L09

Prüfungstermine:

Tag Zeit Turnus Termin fällt aus am Lehrperson Raum
Mittwoch 14:00 bis
17:00
Klausur 14.07.2021 bis
14.07.2021
  Tierzucht- / L06
Mittwoch 16:00 bis
19:00
Klausur 27.10.2021 bis
27.10.2021
  Tierzucht- / L06



Bemerkung :

Inhalte, Kompetenzen

Inhalte:

In the beginning of the course, students are introduced to the basic concepts of statistics like frequency distributions, the normal distribution and hypothesis testing. They are also introduced to software packages like SAS, that are used for the practical exercises.

Regression and correlation analysis are then introduced. Different experimental designs like randomized block, latin square, and split plot are described and analyzed by one-way analysis of variance or as factorial experiments. Generalized Linear Models will be used and multivariate data will by analyzed by cluster and principal component methods.

A large amount of examples and exercises constitute an important aspect of the course, enabling the students to understand and assimilate the theoretical content. Practical analyses of example data sets also provide the students with the required experience and skills for future statistical tasks in the context of Mastertheses.

 

Kompetenzen:

The aim of the course is to familiarize students with the basic concepts of statistics and their application in agricultural science. The second goal is to learn the use of software packages like SAS.



Leistungsnachweis:

Prüfungsanforderungen:

Knowledge of the basic concepts of statistics and their application in agricultural science and in the use of software packages like SAS.

Klausur: 90 Minuten


 
Die Überschrift Wintersemester aufklappen  Wintersemester    
 
Die Überschrift b. Study Track   b. Study Track "Genome Selection"    
 
Die Überschrift Sommersemester aufklappen  Sommersemester    
 
Die Überschrift M.iPAB.0006 Breeding informatics aufklappen  M.iPAB.0006 Breeding informatics    
   
SoSe 2021    740882     Vorlesung mit Übung    4 SWS    ECTS-Punkte: 6     Abteilung Züchtungsinformatik Teilnehmer/-in:   20     Dozent:   Schmitt

Termine

Tag Zeit Turnus Termin fällt aus am Lehrperson Raum
Montag 14:15 bis
15:45
wöch. 12.04.2021 bis
12.07.2021
      Tierzucht- / L09
Mittwoch 16:15 bis
17:45
wöch. 14.04.2021 bis
07.07.2021
      Tierzucht- / L09

Prüfungstermine:

Tag Zeit Turnus Termin fällt aus am Lehrperson Raum
Dienstag 16:15 bis
17:45
Klausur 13.07.2021 bis
13.07.2021
      Tierzucht- / L09
Dienstag 16:15 bis
17:45
Klausur 13.07.2021 bis
13.07.2021
      Tierzucht- / L05
Mittwoch 14:15 bis
15:45
Online-Klausur 13.10.2021 bis
13.10.2021
 



Kommentar:

Contents:
• Design and implementation of databases with mySQL
• Basic data structures
• Programming in R and Perl
• Regular expressions
• Design and implementation of pipelines for data analysis
• Shell scripts on Linux (gawk, sed)
• Relation of genotype - phenotype
• Measures to detect selection signatures
• Basic concepts of bioinformatics

Learning outcome, core skills:
Students deepen their knowledge of informatics methods to evaluate large datasets for
breeding issues.

Examination requirements:
Profound knowledge of informatic methods to evaluate large datasets for breeding
issues.



Voraussetzungen:

Basic knowledge of molecular genetics, statistics,
programing



Leistungsnachweis:

Written examination (90 minutes)


 
Die Überschrift M.iPAB.0008 Molecular and biotechnological methods in plant and animal breeding aufklappen  M.iPAB.0008 Molecular and biotechnological methods in plant and animal breeding    
   
SoSe 2021    740881     Blockveranstaltung    4 SWS    ECTS-Punkte: 6     Abteilung Funktional Breeding - Genetik und Züchterische Verbesserung funktionaler Merkmale Teilnehmer/-in:   20     Zugeordnete Lehrpersonen:   Tetens ,   Falker-Gieske ,   Mott

Termine

Tag Zeit Turnus Termin fällt aus am Lehrperson Raum
keine Angabe 09:00 bis
17:00
Block 06.09.2021 bis
17.09.2021
  Tierärztli / Raum 0.111

Prüfungstermine:

Tag Zeit Turnus Termin fällt aus am Lehrperson Raum
Sonntag 00:00 bis
23:45
Abgabe Hausarbeit 31.10.2021 bis
31.10.2021
 



Kommentar:

Contents:
Sample collection; DNA and RNA isolation; Sanger Sequencing including the usage of
appropriate software programs; Separation and visualization of nucleic acids; qualitative
and quantitative PCR; ELISA assays to determine hormone profiles or as a pregnancy/
non pregnancy testing system; microsatellites; SNP; AFLP; storage of DNA and RNA;
semen evaluation; in vitro generation and genetic analyses of embryos; direct and
indirect transformation; protoplasts, in vitro propagation, androgenesis and gynogenesis;
gene cloning.
Literature: e.g. Current Protocols in molecular biology; A practical guide to basic
laboratory endocrinology: Introduction to Plant Biotechnology

Learning outcome, core skills:
In addition to the theoretical background (Module M.Agr.0131 (Biotechnology and
molecular genetics in plant and animal breeding)), the students should improve their
basic knowledge in biotechnologies and molecular genetics by learning hand-on skills
in the lab. The students should be capable to perform experiments on their own and to
present them in an adequate manner.

Examination requirements:
The examinees should provide detailed information in their protocols including the
biological background of the methods. The examinee should show its independent
ability to conduct experiments in the lab.



Leistungsnachweis:

Protocol (max. 40 pages, 80%) and presentation (about 10 minutes,
20%)


 
Die Überschrift M.iPAB.0016 Applied effective R programming in animal breeding and genetics aufklappen  M.iPAB.0016 Applied effective R programming in animal breeding and genetics    
   
SoSe 2021    740817     Vorlesung mit Übung    2 SWS    ECTS-Punkte: 3     Leitung Department für Nutztierwissenschaften Teilnehmer/-in:   30     Zugeordnete Lehrpersonen:   Simianer ,   Reimer ,   Geibel

Termine

Tag Zeit Turnus Termin fällt aus am Lehrperson Raum
Freitag 12:45 bis
13:45
wöch. 16.04.2021 bis
16.07.2021
  Tierzucht- / L09

Prüfungstermine:

Tag Zeit Turnus Termin fällt aus am Lehrperson Raum
Sonntag 08:00 bis
18:00
Abgabe Hausarbeit 24.10.2021 bis
24.10.2021
 



Kommentar:

Contents:
Effective usage of the programming language R applied to animal breeding and genetics
examples. This includes detailed knowledge about the use of different data types
and objects in R, automation and optimization of workflows, connection to third party
software.
• Data input/ output
• Matrix algebra in R
• Effective data management
• Profiling/ Benchmarking
• String modifications
• Parallelization
• Running self-executable R scripts via the command line

Learning outcome, core skills:
The students will be able to efficiently use the programing language R on big animal
datasets and to implement automated workflows for animal data analysis. They also will
be enabled to distribute their implementations to end users.

Examination prerequisites:
Regular attendance of course
Examination requirements:
The term paper must include the code; self-executable application for a predefined task
with focus on efficiency and usability, short description on how the task was solved.



Voraussetzungen:

Basic command of R

Basic knowledge of the programming language R, for
example proven by the successful participation in the
modules
• M.Agr.0141: Data Analysis with R
• B.Agr.0375: Bioinformatik
• B.Agr.0308: Biometrie
or comparable modules or proofs of knowledge.



Leistungsnachweis:

Term paper (max. 30 pages) (max. 30 pages)



Organisatorisches:

Additional notes and regulations:
EMABG students will be taken preferred before all others. iPAB and M.Agr. Animal Science before others.


 
Die Überschrift M.iPAB.0014 Data Analysis with R aufklappen  M.iPAB.0014 Data Analysis with R    
   
SoSe 2021    740872     Blockveranstaltung    3 SWS    ECTS-Punkte: 2     Abteilung Züchtungsinformatik Teilnehmer/-in:   24     Zugeordnete Lehrpersonen:   Gültas ,   Heinrich ,   Ramzan

Termine

Tag Zeit Turnus Termin fällt aus am Lehrperson Raum
Montag 16:00 bis
18:00
wöch. 12.04.2021 bis
05.07.2021
     

Prüfungstermine:

Tag Zeit Turnus Termin fällt aus am Lehrperson Raum
Montag 09:00 bis
18:00
mdl.Prf. 12.07.2021 bis
12.07.2021
     



Kommentar:

Contents:
The fundamental concepts of the programming package R will be presented and
deepened during practical exercises. Statistical methods will be recapitulated if
necessary. Special emphasis is put on visualization methods.

Learning outcome, core skills:
The students will be able to use methods provided by the statistical package R to
perform the analysis of data sets that are typical in the life sciences. A core skill is the
identification, usage and evaluation of online resources (e.g. packages and data sets).

Examination requirements:
Ability to analyze typical data sets with the statistical package R and interpretation of the
results.



Voraussetzungen:

Knowledge of basic statistics concepts



Leistungsnachweis:

Oral examination (approx. 20 minutes)



Literatur:

Wiki-book "R programming"
https://en.wikibooks.org/wiki/R_Programming
"R for Beginners" by Emanuel Paradis
https://cran.r-project.org/doc/contrib/Paradis-rdebuts_en.pdf
"R tips" by Paul E. Johnson
http://pj.freefaculty.org/R/Rtips.pdf


 
Die Überschrift Wintersemester aufklappen  Wintersemester    
 
Die Überschrift c. Study Track   c. Study Track "Biological and societal context of breeding"    
 
Die Überschrift Sommersemester aufklappen  Sommersemester    
 
Die Überschrift M.iPAB.0016 Applied effective R programming in animal breeding and genetics aufklappen  M.iPAB.0016 Applied effective R programming in animal breeding and genetics    
   
SoSe 2021    740817     Vorlesung mit Übung    2 SWS    ECTS-Punkte: 3     Leitung Department für Nutztierwissenschaften Teilnehmer/-in:   30     Zugeordnete Lehrpersonen:   Simianer ,   Reimer ,   Geibel

Termine

Tag Zeit Turnus Termin fällt aus am Lehrperson Raum
Freitag 12:45 bis
13:45
wöch. 16.04.2021 bis
16.07.2021
  Tierzucht- / L09

Prüfungstermine:

Tag Zeit Turnus Termin fällt aus am Lehrperson Raum
Sonntag 08:00 bis
18:00
Abgabe Hausarbeit 24.10.2021 bis
24.10.2021
 



Kommentar:

Contents:
Effective usage of the programming language R applied to animal breeding and genetics
examples. This includes detailed knowledge about the use of different data types
and objects in R, automation and optimization of workflows, connection to third party
software.
• Data input/ output
• Matrix algebra in R
• Effective data management
• Profiling/ Benchmarking
• String modifications
• Parallelization
• Running self-executable R scripts via the command line

Learning outcome, core skills:
The students will be able to efficiently use the programing language R on big animal
datasets and to implement automated workflows for animal data analysis. They also will
be enabled to distribute their implementations to end users.

Examination prerequisites:
Regular attendance of course
Examination requirements:
The term paper must include the code; self-executable application for a predefined task
with focus on efficiency and usability, short description on how the task was solved.



Voraussetzungen:

Basic command of R

Basic knowledge of the programming language R, for
example proven by the successful participation in the
modules
• M.Agr.0141: Data Analysis with R
• B.Agr.0375: Bioinformatik
• B.Agr.0308: Biometrie
or comparable modules or proofs of knowledge.



Leistungsnachweis:

Term paper (max. 30 pages) (max. 30 pages)



Organisatorisches:

Additional notes and regulations:
EMABG students will be taken preferred before all others. iPAB and M.Agr. Animal Science before others.


 
Die Überschrift M.iPAB.0014 Data Analysis with R aufklappen  M.iPAB.0014 Data Analysis with R    
   
SoSe 2021    740872     Blockveranstaltung    3 SWS    ECTS-Punkte: 2     Abteilung Züchtungsinformatik Teilnehmer/-in:   24     Zugeordnete Lehrpersonen:   Gültas ,   Heinrich ,   Ramzan

Termine

Tag Zeit Turnus Termin fällt aus am Lehrperson Raum
Montag 16:00 bis
18:00
wöch. 12.04.2021 bis
05.07.2021
     

Prüfungstermine:

Tag Zeit Turnus Termin fällt aus am Lehrperson Raum
Montag 09:00 bis
18:00
mdl.Prf. 12.07.2021 bis
12.07.2021
     



Kommentar:

Contents:
The fundamental concepts of the programming package R will be presented and
deepened during practical exercises. Statistical methods will be recapitulated if
necessary. Special emphasis is put on visualization methods.

Learning outcome, core skills:
The students will be able to use methods provided by the statistical package R to
perform the analysis of data sets that are typical in the life sciences. A core skill is the
identification, usage and evaluation of online resources (e.g. packages and data sets).

Examination requirements:
Ability to analyze typical data sets with the statistical package R and interpretation of the
results.



Voraussetzungen:

Knowledge of basic statistics concepts



Leistungsnachweis:

Oral examination (approx. 20 minutes)



Literatur:

Wiki-book "R programming"
https://en.wikibooks.org/wiki/R_Programming
"R for Beginners" by Emanuel Paradis
https://cran.r-project.org/doc/contrib/Paradis-rdebuts_en.pdf
"R tips" by Paul E. Johnson
http://pj.freefaculty.org/R/Rtips.pdf


 
Die Überschrift Wintersemester aufklappen  Wintersemester    
 
Die Überschrift d. Other modules aufklappen  d. Other modules    
 
Die Überschrift Sommersemester aufklappen  Sommersemester    
 
Die Überschrift M.iPAB.0006 Breeding informatics aufklappen  M.iPAB.0006 Breeding informatics    
   
SoSe 2021    740882     Vorlesung mit Übung    4 SWS    ECTS-Punkte: 6     Abteilung Züchtungsinformatik Teilnehmer/-in:   20     Dozent:   Schmitt

Termine

Tag Zeit Turnus Termin fällt aus am Lehrperson Raum
Montag 14:15 bis
15:45
wöch. 12.04.2021 bis
12.07.2021
      Tierzucht- / L09
Mittwoch 16:15 bis
17:45
wöch. 14.04.2021 bis
07.07.2021
      Tierzucht- / L09

Prüfungstermine:

Tag Zeit Turnus Termin fällt aus am Lehrperson Raum
Dienstag 16:15 bis
17:45
Klausur 13.07.2021 bis
13.07.2021
      Tierzucht- / L09
Dienstag 16:15 bis
17:45
Klausur 13.07.2021 bis
13.07.2021
      Tierzucht- / L05
Mittwoch 14:15 bis
15:45
Online-Klausur 13.10.2021 bis
13.10.2021
 



Kommentar:

Contents:
• Design and implementation of databases with mySQL
• Basic data structures
• Programming in R and Perl
• Regular expressions
• Design and implementation of pipelines for data analysis
• Shell scripts on Linux (gawk, sed)
• Relation of genotype - phenotype
• Measures to detect selection signatures
• Basic concepts of bioinformatics

Learning outcome, core skills:
Students deepen their knowledge of informatics methods to evaluate large datasets for
breeding issues.

Examination requirements:
Profound knowledge of informatic methods to evaluate large datasets for breeding
issues.



Voraussetzungen:

Basic knowledge of molecular genetics, statistics,
programing



Leistungsnachweis:

Written examination (90 minutes)


 
Die Überschrift M.iPAB.0008 Molecular and biotechnological methods in plant and animal breeding aufklappen  M.iPAB.0008 Molecular and biotechnological methods in plant and animal breeding    
   
SoSe 2021    740881     Blockveranstaltung    4 SWS    ECTS-Punkte: 6     Abteilung Funktional Breeding - Genetik und Züchterische Verbesserung funktionaler Merkmale Teilnehmer/-in:   20     Zugeordnete Lehrpersonen:   Tetens ,   Falker-Gieske ,   Mott

Termine

Tag Zeit Turnus Termin fällt aus am Lehrperson Raum
keine Angabe 09:00 bis
17:00
Block 06.09.2021 bis
17.09.2021
  Tierärztli / Raum 0.111

Prüfungstermine:

Tag Zeit Turnus Termin fällt aus am Lehrperson Raum
Sonntag 00:00 bis
23:45
Abgabe Hausarbeit 31.10.2021 bis
31.10.2021
 



Kommentar:

Contents:
Sample collection; DNA and RNA isolation; Sanger Sequencing including the usage of
appropriate software programs; Separation and visualization of nucleic acids; qualitative
and quantitative PCR; ELISA assays to determine hormone profiles or as a pregnancy/
non pregnancy testing system; microsatellites; SNP; AFLP; storage of DNA and RNA;
semen evaluation; in vitro generation and genetic analyses of embryos; direct and
indirect transformation; protoplasts, in vitro propagation, androgenesis and gynogenesis;
gene cloning.
Literature: e.g. Current Protocols in molecular biology; A practical guide to basic
laboratory endocrinology: Introduction to Plant Biotechnology

Learning outcome, core skills:
In addition to the theoretical background (Module M.Agr.0131 (Biotechnology and
molecular genetics in plant and animal breeding)), the students should improve their
basic knowledge in biotechnologies and molecular genetics by learning hand-on skills
in the lab. The students should be capable to perform experiments on their own and to
present them in an adequate manner.

Examination requirements:
The examinees should provide detailed information in their protocols including the
biological background of the methods. The examinee should show its independent
ability to conduct experiments in the lab.



Leistungsnachweis:

Protocol (max. 40 pages, 80%) and presentation (about 10 minutes,
20%)


 
Die Überschrift M.iPAB.0016 Applied effective R programming in animal breeding and genetics aufklappen  M.iPAB.0016 Applied effective R programming in animal breeding and genetics    
   
SoSe 2021    740817     Vorlesung mit Übung    2 SWS    ECTS-Punkte: 3     Leitung Department für Nutztierwissenschaften Teilnehmer/-in:   30     Zugeordnete Lehrpersonen:   Simianer ,   Reimer ,   Geibel

Termine

Tag Zeit Turnus Termin fällt aus am Lehrperson Raum
Freitag 12:45 bis
13:45
wöch. 16.04.2021 bis
16.07.2021
  Tierzucht- / L09

Prüfungstermine:

Tag Zeit Turnus Termin fällt aus am Lehrperson Raum
Sonntag 08:00 bis
18:00
Abgabe Hausarbeit 24.10.2021 bis
24.10.2021
 



Kommentar:

Contents:
Effective usage of the programming language R applied to animal breeding and genetics
examples. This includes detailed knowledge about the use of different data types
and objects in R, automation and optimization of workflows, connection to third party
software.
• Data input/ output
• Matrix algebra in R
• Effective data management
• Profiling/ Benchmarking
• String modifications
• Parallelization
• Running self-executable R scripts via the command line

Learning outcome, core skills:
The students will be able to efficiently use the programing language R on big animal
datasets and to implement automated workflows for animal data analysis. They also will
be enabled to distribute their implementations to end users.

Examination prerequisites:
Regular attendance of course
Examination requirements:
The term paper must include the code; self-executable application for a predefined task
with focus on efficiency and usability, short description on how the task was solved.



Voraussetzungen:

Basic command of R

Basic knowledge of the programming language R, for
example proven by the successful participation in the
modules
• M.Agr.0141: Data Analysis with R
• B.Agr.0375: Bioinformatik
• B.Agr.0308: Biometrie
or comparable modules or proofs of knowledge.



Leistungsnachweis:

Term paper (max. 30 pages) (max. 30 pages)



Organisatorisches:

Additional notes and regulations:
EMABG students will be taken preferred before all others. iPAB and M.Agr. Animal Science before others.


 
Die Überschrift M.Cp.0016 Practical  Statistics and Experimental Design in Agriculture aufklappen  M.Cp.0016 Practical Statistics and Experimental Design in Agriculture    
   
SoSe 2021    740690     Vorlesung mit Übung    4 SWS    ECTS-Punkte: 6     Leitung Department für Nutzpflanzenwissenschaften Abteilung Pflanzenzüchtung Teilnehmer/-in:   30     Zugeordnete Lehrpersonen:   Sharifi ,   Kluth

Termine

Tag Zeit Turnus Termin fällt aus am Lehrperson Raum
Montag 08:15 bis
09:45
wöch. 12.04.2021 bis
12.07.2021
  Tierzucht- / L09
Mittwoch 12:15 bis
14:00
wöch. 14.04.2021 bis
14.07.2021
  Tierzucht- / L09
Mittwoch 14:15 bis
15:45
wöch. 14.04.2021 bis
14.07.2021
  Tierzucht- / L09

Prüfungstermine:

Tag Zeit Turnus Termin fällt aus am Lehrperson Raum
Mittwoch 14:00 bis
17:00
Klausur 14.07.2021 bis
14.07.2021
  Tierzucht- / L06
Mittwoch 16:00 bis
19:00
Klausur 27.10.2021 bis
27.10.2021
  Tierzucht- / L06



Bemerkung :

Inhalte, Kompetenzen

Inhalte:

In the beginning of the course, students are introduced to the basic concepts of statistics like frequency distributions, the normal distribution and hypothesis testing. They are also introduced to software packages like SAS, that are used for the practical exercises.

Regression and correlation analysis are then introduced. Different experimental designs like randomized block, latin square, and split plot are described and analyzed by one-way analysis of variance or as factorial experiments. Generalized Linear Models will be used and multivariate data will by analyzed by cluster and principal component methods.

A large amount of examples and exercises constitute an important aspect of the course, enabling the students to understand and assimilate the theoretical content. Practical analyses of example data sets also provide the students with the required experience and skills for future statistical tasks in the context of Mastertheses.

 

Kompetenzen:

The aim of the course is to familiarize students with the basic concepts of statistics and their application in agricultural science. The second goal is to learn the use of software packages like SAS.



Leistungsnachweis:

Prüfungsanforderungen:

Knowledge of the basic concepts of statistics and their application in agricultural science and in the use of software packages like SAS.

Klausur: 90 Minuten


 
Die Überschrift M.iPAB.0012 Journal Club: Key papers in animal and plant breeding aufklappen  M.iPAB.0012 Journal Club: Key papers in animal and plant breeding    
   
SoSe 2021    740814     Vorlesung    4 SWS    ECTS-Punkte: 6     Abteilung Funktional Breeding - Genetik und Züchterische Verbesserung funktionaler Merkmale Teilnehmer/-in:   20     Zugeordnete Lehrpersonen:   Tetens ,   Mott

Termine

Tag Zeit Turnus Termin fällt aus am Lehrperson Raum
Donnerstag 16:15 bis
17:45
14tägl 22.04.2021 bis
15.07.2021
  Tierzucht- / L09

Prüfungstermine:

Tag Zeit Turnus Termin fällt aus am Lehrperson Raum
Mittwoch 00:00 bis
23:45
Abgabe Hausarbeit 01.09.2021 bis
01.09.2021
 



Kommentar:

Contents:
Teaching of methods for collecting and using of scientific contents and papers for a
specific topic. Ability to discuss scientific texts in a deepened substantive way on the
basis of a comprehensive literature review.

Learning outcome, core skills:
Students gain competences in the opening and discussion of a scientific topic by using
the literature in the field of plant and animal breeding. They also obtain skills in oral and
written presentation of their investigation.

Presentation (about 20 minutes) with written outline (max. 10 pages)
Examination prerequisites:



Leistungsnachweis:

Presentation (about 20 minutes) with written outline (max. 10 pages)

Examination prerequisites:
Regular participation in 10 seminars



Organisatorisches:

Regular participation in 10 seminars


 
Die Überschrift M.iPAB.0014 Data Analysis with R aufklappen  M.iPAB.0014 Data Analysis with R    
   
SoSe 2021    740872     Blockveranstaltung    3 SWS    ECTS-Punkte: 2     Abteilung Züchtungsinformatik Teilnehmer/-in:   24     Zugeordnete Lehrpersonen:   Gültas ,   Heinrich ,   Ramzan

Termine

Tag Zeit Turnus Termin fällt aus am Lehrperson Raum
Montag 16:00 bis
18:00
wöch. 12.04.2021 bis
05.07.2021
     

Prüfungstermine:

Tag Zeit Turnus Termin fällt aus am Lehrperson Raum
Montag 09:00 bis
18:00
mdl.Prf. 12.07.2021 bis
12.07.2021
     



Kommentar:

Contents:
The fundamental concepts of the programming package R will be presented and
deepened during practical exercises. Statistical methods will be recapitulated if
necessary. Special emphasis is put on visualization methods.

Learning outcome, core skills:
The students will be able to use methods provided by the statistical package R to
perform the analysis of data sets that are typical in the life sciences. A core skill is the
identification, usage and evaluation of online resources (e.g. packages and data sets).

Examination requirements:
Ability to analyze typical data sets with the statistical package R and interpretation of the
results.



Voraussetzungen:

Knowledge of basic statistics concepts



Leistungsnachweis:

Oral examination (approx. 20 minutes)



Literatur:

Wiki-book "R programming"
https://en.wikibooks.org/wiki/R_Programming
"R for Beginners" by Emanuel Paradis
https://cran.r-project.org/doc/contrib/Paradis-rdebuts_en.pdf
"R tips" by Paul E. Johnson
http://pj.freefaculty.org/R/Rtips.pdf


 
Die Überschrift Wintersemester aufklappen  Wintersemester