Universität Wien

570001 PR From omics to AI (2024W)

practical course on processing of large-scale data, classification and generative machine learning (bring your own data to the course)

10.00 ECTS (6.00 SWS), SPL 57 - Doktoratsstudium Biologie mit Schwerpunkt Mikrobiologie und Umweltsyste
Continuous assessment of course work
Moodle
Mo 17.02. 08:00-13:00 Seminarraum 1.7, Biologie Djerassiplatz 1, 1.010, 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. 20 participants
Language: English

Lecturers

Classes (iCal) - next class is marked with N

The first meeting will be held online on Mon Oct 7, 16-17 via Moodle. Participation in the first meeting is mandatory.

  • Tuesday 18.02. 08:00 - 13:00 Seminarraum 1.7, Biologie Djerassiplatz 1, 1.010, Ebene 1
  • Wednesday 19.02. 08:00 - 13:00 Seminarraum 1.7, Biologie Djerassiplatz 1, 1.010, Ebene 1
  • Thursday 20.02. 08:00 - 13:00 Seminarraum 1.7, Biologie Djerassiplatz 1, 1.010, Ebene 1
  • Friday 21.02. 08:00 - 13:00 Seminarraum 1.7, Biologie Djerassiplatz 1, 1.010, Ebene 1
  • Monday 24.02. 08:00 - 13:00 Seminarraum 1.7, Biologie Djerassiplatz 1, 1.010, Ebene 1
  • Tuesday 25.02. 08:00 - 13:00 Seminarraum 1.7, Biologie Djerassiplatz 1, 1.010, Ebene 1
  • Wednesday 26.02. 08:00 - 13:00 Seminarraum 1.7, Biologie Djerassiplatz 1, 1.010, Ebene 1
  • Thursday 27.02. 08:00 - 13:00 Seminarraum 1.7, Biologie Djerassiplatz 1, 1.010, Ebene 1
  • Friday 28.02. 08:00 - 13:00 Seminarraum 1.7, Biologie Djerassiplatz 1, 1.010, Ebene 1

Information

Aims, contents and method of the course

This seminar is a "bring your own data" course. It uses omics data of the participants and will enable the participants to organize and preprocess omics data for machine learning, to turn omics data into features, do develop different types of classifiers and to evaluate their performance. We will also introduce generative AI by examples from sequence analysis.

Assessment and permitted materials

Minimum requirements and assessment criteria

The seminar will not be graded. Successful participation will be assessed from progress presentations and discussion of literature, data and results during the course.

Examination topics

Reading list

Material will be provided during the course.

Association in the course directory

PhD

Last modified: Mo 07.10.2024 08:07