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300019 SE Computational methods in microbial ecology (2019S)
Prüfungsimmanente Lehrveranstaltung
Labels
An/Abmeldung
Hinweis: Ihr Anmeldezeitpunkt innerhalb der Frist hat keine Auswirkungen auf die Platzvergabe (kein "first come, first served").
- Anmeldung von Fr 08.02.2019 08:00 bis Do 21.02.2019 18:00
- Abmeldung bis So 31.03.2019 18:00
Details
max. 25 Teilnehmer*innen
Sprache: Englisch
Lehrende
Termine
March 6, 13, 20.
April; 3, 10.
May: 8., 15., 22.
From 13:00-16:00. In the Übungsraum 6, UZA I
Information
Ziele, Inhalte und Methode der Lehrveranstaltung
Art der Leistungskontrolle und erlaubte Hilfsmittel
Regular quizzes and homework assignments. Homeworks contribute 75% to the final grade and quizzes contribute 25%. Participants should bring a laptop for in-class exercises.
Mindestanforderungen und Beurteilungsmaßstab
Minimum requirements: No computer programming knowledge required.Assessment criteria:
Understanding relevant mathematical and computational methods in microbial ecology. Applying these methods to typical problems in microbial ecology and designing experiments. Performing mathematical and computational experiments using typical software programs. Presenting and interpreting the results of mathematical and computational experiments. Understanding and discussing recent scientific literature.
Understanding relevant mathematical and computational methods in microbial ecology. Applying these methods to typical problems in microbial ecology and designing experiments. Performing mathematical and computational experiments using typical software programs. Presenting and interpreting the results of mathematical and computational experiments. Understanding and discussing recent scientific literature.
Prüfungsstoff
This course will consist of theoretical lectures, discussion of selected scientific papers and practical exercises (mainly using the computers of the participants).
Literatur
Will be provided throughout the course on the e-learning platform.
Zuordnung im Vorlesungsverzeichnis
MMEI II-2.2, MMB W-2, MMB W-3,
Letzte Änderung: Mi 20.03.2019 19:28
- Statistics of high-dimensional data
- Estimating diversity and composition of microbial communities
- Databases and resources in microbial ecology
- DNA sequencing in microbial ecology (amplicon sequencing, shotgun metagenomics, metatranscriptomics)
- Computational pipelines for amplicon sequencing: overview, features, evaluation
- Comparison of microbial communities
- Networks in ecology: correlation vs. interaction