Universität Wien

270200 PR Multiomics Data Science (2023S)

6.00 ECTS (6.00 SWS), SPL 27 - Chemie
Continuous assessment of course work
Moodle

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. 10 participants
Language: German

Lecturers

Classes (iCal) - next class is marked with N

This course is divided into two parts:
Part 1 - Multiomics Data Science with Python (max. 12 students):
The lecture starts on Thursday, March 2nd, and is split each week into two parts. Every Thursday (10:15-12:15 SR4) you will have a theory part, whereas on Wednesdays (12:15-13:45 SR4) students will locally program and implement the training exercises. A requirement for this course is to bring your own notebook/laptop.
Part 2 - Multiomics Data Science with common software programs:
This part will take place during the last two weeks of June and is split into two groups, each with 6 student, with two sessions in theory for all 12 students on the 19th and the 21st of June from 10:00 to 12:00 in HS2 and SR1, respectively. Students have to attend at least 90 % of the course.

  • Thursday 02.03. 10:15 - 12:15 Seminarraum 4 Institut Physikalische Chemie HP Währinger Straße 42
  • Wednesday 08.03. 12:15 - 13:45 Seminarraum 4 Institut Physikalische Chemie HP Währinger Straße 42
  • Thursday 09.03. 10:15 - 12:15 Seminarraum 4 Institut Physikalische Chemie HP Währinger Straße 42
  • Wednesday 15.03. 12:15 - 13:45 Seminarraum 4 Institut Physikalische Chemie HP Währinger Straße 42
  • Thursday 16.03. 10:15 - 12:15 Seminarraum 4 Institut Physikalische Chemie HP Währinger Straße 42
  • Wednesday 22.03. 12:15 - 13:45 Seminarraum 4 Institut Physikalische Chemie HP Währinger Straße 42
  • Thursday 23.03. 10:15 - 12:15 Seminarraum 4 Institut Physikalische Chemie HP Währinger Straße 42
  • Wednesday 29.03. 12:15 - 13:45 Seminarraum 4 Institut Physikalische Chemie HP Währinger Straße 42
  • Thursday 30.03. 10:15 - 12:15 Seminarraum 4 Institut Physikalische Chemie HP Währinger Straße 42
  • Wednesday 19.04. 12:15 - 13:45 Seminarraum 4 Institut Physikalische Chemie HP Währinger Straße 42
  • Thursday 20.04. 10:15 - 12:15 Seminarraum 4 Institut Physikalische Chemie HP Währinger Straße 42
  • Wednesday 26.04. 12:15 - 13:45 Seminarraum 4 Institut Physikalische Chemie HP Währinger Straße 42
  • Thursday 27.04. 10:15 - 12:15 Seminarraum 4 Institut Physikalische Chemie HP Währinger Straße 42
  • Wednesday 03.05. 12:15 - 13:45 Seminarraum 4 Institut Physikalische Chemie HP Währinger Straße 42
  • Thursday 04.05. 10:15 - 12:15 Seminarraum 4 Institut Physikalische Chemie HP Währinger Straße 42
  • Wednesday 10.05. 12:15 - 13:45 Seminarraum 4 Institut Physikalische Chemie HP Währinger Straße 42
  • Thursday 11.05. 10:15 - 12:15 Seminarraum 4 Institut Physikalische Chemie HP Währinger Straße 42
  • Wednesday 17.05. 12:15 - 13:45 Seminarraum 4 Institut Physikalische Chemie HP Währinger Straße 42
  • Wednesday 24.05. 12:15 - 13:45 Seminarraum 4 Institut Physikalische Chemie HP Währinger Straße 42
  • Thursday 25.05. 10:15 - 12:15 Seminarraum 4 Institut Physikalische Chemie HP Währinger Straße 42
  • Wednesday 31.05. 12:15 - 13:45 Seminarraum 4 Institut Physikalische Chemie HP Währinger Straße 42
  • Thursday 01.06. 10:15 - 12:15 Seminarraum 4 Institut Physikalische Chemie HP Währinger Straße 42
  • Wednesday 07.06. 12:15 - 13:45 Seminarraum 4 Institut Physikalische Chemie HP Währinger Straße 42
  • Wednesday 14.06. 12:15 - 13:45 Seminarraum 4 Institut Physikalische Chemie HP Währinger Straße 42
  • Thursday 15.06. 10:15 - 12:15 Seminarraum 4 Institut Physikalische Chemie HP Währinger Straße 42
  • Wednesday 21.06. 12:15 - 13:45 Seminarraum 4 Institut Physikalische Chemie HP Währinger Straße 42
  • Thursday 22.06. 10:15 - 12:15 Seminarraum 4 Institut Physikalische Chemie HP Währinger Straße 42
  • Wednesday 28.06. 12:15 - 13:45 Seminarraum 4 Institut Physikalische Chemie HP Währinger Straße 42
  • Thursday 29.06. 10:15 - 12:15 Seminarraum 4 Institut Physikalische Chemie HP Währinger Straße 42

Information

Aims, contents and method of the course

Part 1 - Multiomics Data Science with Python
Basic topics of data analysis of multiomics data will be introduced. These topics are regression, principal component analsyses, clustering time series analyses, classification, and statistical tests among others. The course will be started with an introduction in Python for the application of the mentioned analysis methods.
Part 2 - Multiomics Data Science with common software programs
Large data-sets from high-throughput analysis methods cannot be interpreted manually but need to be processed automatically using accurate and reliable algorithms performed by appropriate software-packages. Here some commonly used software-packages applied for proteomics, transcriptomics and lipidomics will be presented in detail. Furthermore, algorithms supporting data interpretation will be presented.

Assessment and permitted materials

Part 1 - Multiomics Data Science with Python
In the practical part of the course, the students will get exercises which they have to implement on their own during the session. These implementations will be assessed by the course instructor afterwards. The instructor will additionally ask questions according to the implementation. Plagiarism, deception or transcription of co-students is not tolerated and will be scored with 0 points. To successfully pass this course, the students have to gather at least 50% of all points of the practical excercises.
Part 2 - Multiomics Data Science with common software programs
Performance is monitored during the practical course (interest, cooperation), and is furthermore determined on the basis of the quality of the delivered protocol and the acquired knowledge (determined in the closing meeting).

Minimum requirements and assessment criteria

Students need positive grades for each part of the performance (implementation of exercises, interest/cooperation, protocol and closing meeting regarding the acquired knowledge) in order to successfully complete the course.

Examination topics

teaching material from theoretical parts and practical training

Reading list

Association in the course directory

CH-SAS-06

Last modified: Tu 06.08.2024 00:18