Universität Wien

301501 VU Quantitative Skills for Microbiome Science (2025W)

10.00 ECTS (6.00 SWS), SPL 30 - Biologie
Continuous assessment of course work
Moodle
Fr 12.12. 13:15-16:30 Seminarraum 1.3, Biologie Djerassiplatz 1, 1.005, Ebene 1

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).

Details

max. 40 participants
Language: English

Lecturers

Classes (iCal) - next class is marked with N

see German version

  • Friday 03.10. 13:15 - 16:30 Seminarraum 1.3, Biologie Djerassiplatz 1, 1.005, Ebene 1
  • Tuesday 07.10. 13:15 - 16:30 Seminarraum 1.7, Biologie Djerassiplatz 1, 1.010, Ebene 1
  • Friday 10.10. 13:15 - 16:30 Seminarraum 1.3, Biologie Djerassiplatz 1, 1.005, Ebene 1
  • Tuesday 14.10. 13:15 - 16:30 Seminarraum 1.7, Biologie Djerassiplatz 1, 1.010, Ebene 1
  • Friday 17.10. 13:15 - 16:30 Seminarraum 1.3, Biologie Djerassiplatz 1, 1.005, Ebene 1
  • Tuesday 21.10. 13:15 - 16:30 Seminarraum 1.7, Biologie Djerassiplatz 1, 1.010, Ebene 1
  • Friday 24.10. 13:15 - 16:30 Seminarraum 1.3, Biologie Djerassiplatz 1, 1.005, Ebene 1
  • Tuesday 28.10. 13:15 - 16:30 Seminarraum 1.7, Biologie Djerassiplatz 1, 1.010, Ebene 1
  • Friday 31.10. 13:15 - 16:30 Seminarraum 1.3, Biologie Djerassiplatz 1, 1.005, Ebene 1
  • Tuesday 04.11. 13:15 - 16:30 Seminarraum 1.7, Biologie Djerassiplatz 1, 1.010, Ebene 1
  • Friday 07.11. 13:15 - 16:30 Seminarraum 1.3, Biologie Djerassiplatz 1, 1.005, Ebene 1
  • Tuesday 11.11. 13:15 - 16:30 Seminarraum 1.7, Biologie Djerassiplatz 1, 1.010, Ebene 1
  • Wednesday 12.11. 15:00 - 16:30 Seminarraum 1.5, Biologie Djerassiplatz 1, 1.012, Ebene 1
  • Friday 14.11. 13:15 - 16:30 Seminarraum 1.3, Biologie Djerassiplatz 1, 1.005, Ebene 1
  • Tuesday 18.11. 13:15 - 16:30 Seminarraum 1.7, Biologie Djerassiplatz 1, 1.010, Ebene 1
  • Friday 21.11. 13:15 - 16:30 Seminarraum 1.3, Biologie Djerassiplatz 1, 1.005, Ebene 1
  • Tuesday 25.11. 13:15 - 16:30 Seminarraum 1.7, Biologie Djerassiplatz 1, 1.010, Ebene 1
  • Friday 28.11. 13:15 - 16:30 Seminarraum 1.3, Biologie Djerassiplatz 1, 1.005, Ebene 1
  • Tuesday 02.12. 13:15 - 16:30 Seminarraum 1.7, Biologie Djerassiplatz 1, 1.010, Ebene 1
  • Friday 05.12. 13:15 - 16:30 Seminarraum 1.3, Biologie Djerassiplatz 1, 1.005, Ebene 1
  • Tuesday 09.12. 13:15 - 16:30 Seminarraum 1.7, Biologie Djerassiplatz 1, 1.010, Ebene 1
  • Tuesday 16.12. 13:15 - 16:30 Seminarraum 1.7, Biologie Djerassiplatz 1, 1.010, Ebene 1
  • Wednesday 17.12. 15:00 - 16:30 Seminarraum 1.5, Biologie Djerassiplatz 1, 1.012, Ebene 1
  • Friday 19.12. 13:15 - 16:30 Seminarraum 1.3, Biologie Djerassiplatz 1, 1.005, Ebene 1
  • Friday 09.01. 13:15 - 16:30 Seminarraum 1.3, Biologie Djerassiplatz 1, 1.005, Ebene 1
  • Tuesday 13.01. 13:15 - 16:30 Seminarraum 1.7, Biologie Djerassiplatz 1, 1.010, Ebene 1
  • Friday 16.01. 13:15 - 16:30 Seminarraum 1.3, Biologie Djerassiplatz 1, 1.005, Ebene 1
  • Tuesday 20.01. 13:15 - 16:30 Seminarraum 1.7, Biologie Djerassiplatz 1, 1.010, Ebene 1
  • Wednesday 21.01. 15:00 - 16:30 Seminarraum 1.5, Biologie Djerassiplatz 1, 1.012, Ebene 1
  • Friday 23.01. 13:15 - 16:30 Seminarraum 1.3, Biologie Djerassiplatz 1, 1.005, Ebene 1
  • Tuesday 27.01. 13:15 - 16:30 Seminarraum 1.7, Biologie Djerassiplatz 1, 1.010, Ebene 1
  • Friday 30.01. 13:15 - 16:30 Seminarraum 1.3, Biologie Djerassiplatz 1, 1.005, Ebene 1

Information

Aims, contents and method of the course

This course will cover the fundamental quantitative skills required for a broad understanding of microbial ecology and the modern methods that drive research into environmental microbial systems.

This includes mathematical, computational, and theoretical aspects that will allow students to gain a broader and deeper understanding.

Mathematical topics include the basics of single and multivariable calculus, linear algebra, differential equations, and probability theory. These foundations will allow students to engage with more advanced topics covered in the course such as microbial energetics and the biochemistry of diverse metabolism, phylogenetic inference and sequence analysis, as well as hypothesis testing and study design.

To implement the ideas and approaches taught in the course, students will also gain training in modern computer programming and work in High Performance Computing (HPC) environments.

Assessment and permitted materials

Students will be assessed based on participation, quizzes, homeworks, midterm exams, a final project as well as a final oral exam.

Minimum requirements and assessment criteria

Students have to pass midterm exams and the final oral exam , as well as receive a passing grade on the final project.

Examination topics

Content of the course lectures and course exercises.

Reading list

No required reading

Association in the course directory

MMIC 1

Last modified: Tu 02.09.2025 12:07