300025 SE Computational methods in microbial ecology (2021S)
Continuous assessment of course work
Labels
REMOTE
Registration/Deregistration
Note: The time of your registration within the registration period has no effect on the allocation of places (no first come, first served).
- Registration is open from Th 11.02.2021 08:00 to Th 25.02.2021 18:00
- Deregistration possible until We 31.03.2021 18:00
Details
max. 20 participants
Language: English
Lecturers
Classes
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
Aims, contents and method of the course
Assessment and permitted materials
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.
Minimum requirements and assessment criteria
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.
Examination topics
This course will consist of theoretical lectures, discussion of selected scientific papers and practical exercises (mainly using the computers of the participants).
Reading list
Will be provided throughout the course on the e-learning platform.
Association in the course directory
MMEI II-2.2, MMB W-2, MMB W-3,
Last modified: We 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