Universität Wien

270240 PR Data Science Introduction in Python (2023W)

3.00 ECTS (3.00 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

  • Monday 02.10. 12:15 - 14:15 Seminarraum 4 Institut Physikalische Chemie HP Währinger Straße 42
  • Thursday 05.10. 10:00 - 12:00 Seminarraum 4 Institut Physikalische Chemie HP Währinger Straße 42
  • Monday 09.10. 12:15 - 14:15 Seminarraum 4 Institut Physikalische Chemie HP Währinger Straße 42
  • Thursday 12.10. 10:00 - 12:00 Seminarraum 4 Institut Physikalische Chemie HP Währinger Straße 42
  • Monday 16.10. 12:15 - 14:15 Seminarraum 4 Institut Physikalische Chemie HP Währinger Straße 42
  • Thursday 19.10. 10:00 - 12:00 Seminarraum 4 Institut Physikalische Chemie HP Währinger Straße 42
  • Monday 23.10. 12:15 - 14:15 Seminarraum 4 Institut Physikalische Chemie HP Währinger Straße 42
  • Monday 30.10. 12:15 - 14:15 Seminarraum 4 Institut Physikalische Chemie HP Währinger Straße 42
  • Monday 06.11. 12:15 - 14:15 Seminarraum 4 Institut Physikalische Chemie HP Währinger Straße 42
  • Thursday 09.11. 10:00 - 12:00 Seminarraum 4 Institut Physikalische Chemie HP Währinger Straße 42
  • Monday 13.11. 12:15 - 14:15 Seminarraum 4 Institut Physikalische Chemie HP Währinger Straße 42
  • Thursday 16.11. 10:00 - 12:00 Seminarraum 4 Institut Physikalische Chemie HP Währinger Straße 42
  • Monday 20.11. 12:15 - 14:15 Seminarraum 4 Institut Physikalische Chemie HP Währinger Straße 42
  • Thursday 23.11. 10:00 - 12:00 Seminarraum 4 Institut Physikalische Chemie HP Währinger Straße 42
  • Monday 27.11. 12:15 - 14:15 Seminarraum 4 Institut Physikalische Chemie HP Währinger Straße 42
  • Thursday 30.11. 10:00 - 12:00 Seminarraum 4 Institut Physikalische Chemie HP Währinger Straße 42
  • Monday 04.12. 12:15 - 14:15 Seminarraum 4 Institut Physikalische Chemie HP Währinger Straße 42
  • Thursday 07.12. 10:00 - 12:00 Seminarraum 4 Institut Physikalische Chemie HP Währinger Straße 42
  • Monday 11.12. 12:15 - 14:15 Seminarraum 4 Institut Physikalische Chemie HP Währinger Straße 42
  • Thursday 14.12. 10:00 - 12:00 Seminarraum 4 Institut Physikalische Chemie HP Währinger Straße 42
  • Monday 08.01. 12:15 - 14:15 Seminarraum 4 Institut Physikalische Chemie HP Währinger Straße 42
  • Thursday 11.01. 10:00 - 12:00 Seminarraum 4 Institut Physikalische Chemie HP Währinger Straße 42
  • Monday 15.01. 12:15 - 14:15 Seminarraum 4 Institut Physikalische Chemie HP Währinger Straße 42
  • Thursday 18.01. 10:00 - 12:00 Seminarraum 4 Institut Physikalische Chemie HP Währinger Straße 42
  • Monday 22.01. 12:15 - 14:15 Seminarraum 4 Institut Physikalische Chemie HP Währinger Straße 42
  • Thursday 25.01. 10:00 - 12:00 Seminarraum 4 Institut Physikalische Chemie HP Währinger Straße 42
  • Monday 29.01. 12:15 - 14:15 Seminarraum 4 Institut Physikalische Chemie HP Währinger Straße 42

Information

Aims, contents and method of the course

In this course, the students will be introduced into the basic concept of programming along the programming language Python as well as into basic data structures and algorithms. Topics will be discussed as representation of information, primitive data types, control structures, functions, concept of classes, inheritance. Advanced data structures will be introduced as lists, queues, sets, dictionaries, and graphs. In the second half of the course, topics such as clustering, classification, regression, or statistical evaluation will be discussed. Methods like k-means, kNN, decision trees, PCA, EM algorithm t-Test, or Benjamini-Hochberg correction will be examined.

Assessment and permitted materials

In the practical part of the course, the students will get exercises that they have to implement on their own during the session. These implementations will be assessed by the course instructor afterward. 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 exams.

Minimum requirements and assessment criteria

50% of the reachable points in the practical course

Examination topics

There is no preliminary knowledge required. Everything will be taught in the course from scratch.

Reading list

Association in the course directory

CH-SAS-07, AN-1, AN-2, BC-1

Last modified: Tu 26.09.2023 09:48