Module: Molecular Biology and Data Analysis in Microbiology (4613-410)

Persons:

• Dr. Amélia Camarinha da Silva (verantwortlich)

Degree Program:

• Agricultural Sciences - Agricultural Engineering (Master, since 01.04.2019)
  3. Semester, elective
• Agricultural Sciences - Agricultural Engineering (Master, since 01.04.2019)
  3. Semester, elective
• Agricultural Sciences - Soil Science (Master, since 01.10.2014)
  3. Semester, elective
• Agricultural Sciences - Major: Crop Production Systems (Master, since 01.10.2015)
  3. Semester, elective
• Agricultural Sciences - Animal Sciences (Master, since 01.10.2015)
  3. Semester, semi-elective
• Agricultural Sciences - Animal Sciences (Master, since 01.04.2019)
  3. Semester, semi-elective

Sprache:

English

ECTS:

6 credits

Frequency:

every winter semester

Length of the Module:

1 semester

Final examination:

Written exam (50%) + seminar presentation and extended abstract (50%)

Workload:

56 h presence + 104 h preparation at home + exam = 160 h workload

Professional competences:

a) Plan, execute and interpret experiments;
b) Learn routine techniques in molecular biology (PCR, gel electrophoresis of agarose, sequencing)
c) Familiarization with databases of genomic information and bioinformatics tools (Blast, RDP, Mothur, QIIME, etc.) to characterize microbial communities
d) Improve oral and written communication and
e) Critical thinking.
At the end of the module the students will understand and explain the core concepts of molecular biology. They will learn about the most up to date genomic methods used in microbiome characterization and to apply bioinformatic programs to perform microbiome data analysis.

Key competences:

Through the lectures and exam preparation the students learn how to acquire and structure knowledge and information and to have a critical and analytical thinking. During the practical course the students will have the opportunity to implement what they have learned in the lectures, strength their knowledge, to work independently in the laboratory and in the computer with specific software, to improve their skills in critical thinking and problem solving. The written skills will be trained in the extended abstract and their oral presentation skills in the oral presentation of a specific scientific publication.

Comments:

Registration of the participation is required and has to be made at ILIAS. Participants have to choose one of the given topics for the seminar at the first lecture date. The list of topics will be posted at ILIAS before.

eLearning:

Course in ILIAS

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