Module: Molecular Detection of the Vector-Transmitted Bacteriosis of Vascular Strands (4611-220)

Persons:

• Prof. Dr. Michael Kube (verantwortlich)

Degree Program:

• Agricultural Biology (Bachelor, since 01.10.2015)
  6. Semester, elective
• Agricultural Biology (from WS 18/19 on) (Bachelor, since 01.04.2018)
  6. Semester, elective
• Agricultural Biology (from WS 17/18 on) (Bachelor, since 01.10.2017)
  6. Semester, elective
• Agricultural Sciences (from SS 18 on) (Bachelor, since 01.04.2018)
  6. Semester, elective
• Agricultural Sciences (Bachelor, since 01.10.2015)
  6. Semester, elective
• Agricultural Sciences (WS 17/18) (Bachelor, since 01.10.2017)
  6. Semester, elective

Sprache:

German

ECTS:

6 credits

Frequency:

every summer semester

Length of the Module:

1 semester

Compulsory assignment:

Protokolle zur Übung (ohne Benotung)

Final examination:

Klausur (multiple choice); bei weniger als vier Teilnehmern erfolgt die Feststellung der Prüfungsleistung in einzelnen benoteten Prüfungsgesprächen (jeweils 20-30 min)

Length of the examination:

90 minutes

Workload:

6 Credits: 56 h presence + 104 h pre¬paration at home + exam = 160 h workload

Professional competences:

Students who have successfully passed this module will be able to diagnose major bacterial diseases of the vascular system in crops, using different methods for amplifying genetic markers, sequencing and analysing nucleic acids for the characterisation of diseases. Furthermore, they will acquire knowledge on pathogens, virulence factors, hosts, vectors and phytosanitary strategies. For this purpose, they will also have a deep and extensive knowledge of the handling of databases, software and methods for in silico and in vitro analyses of nucleic acids in lectures and exercises.

Key competences:

Scientific working, organizational skills, independent work, critical, analytical thinking, understanding and carrying out experiments according to laboratory protocols, handling of common laboratory equipment, application of common and particular bioinformatic software, ability to communicate and cooperate.

Comments:

Anmeldung via ILIAS erforderlich; Teilnehmeranzahl auf 16 beschränkt (Betreuung und Arbeitsplätze)

eLearning:

Course in ILIAS

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