300025 SE Computational methods in microbial ecology (2021S)
Prüfungsimmanente Lehrveranstaltung
Labels
DIGITAL
An/Abmeldung
Hinweis: Ihr Anmeldezeitpunkt innerhalb der Frist hat keine Auswirkungen auf die Platzvergabe (kein "first come, first served").
- Anmeldung von Do 11.02.2021 08:00 bis Do 25.02.2021 18:00
- Abmeldung bis Mi 31.03.2021 18:00
Details
max. 20 Teilnehmer*innen
Sprache: Englisch
Lehrende
Termine
The course will be held via distance learning from 13:00 to 16:00 on the following dates:
March 3, 10, 17, 24April 14,21,28
May 5,12
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. A passing grade is >50% of combined assessments.
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 05.05.2021 15:49
- 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