Universität Wien
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136080 UE Advanced Python Programming: Data Structures and Algorithms as Models of Professional Assumptions (2025S)

Continuous assessment of course work
Tu 08.04. 09:45-13:00 Ort in u:find Details

Details

max. 25 participants
Language: English

Lecturers

Classes (iCal) - next class is marked with N

  • Tuesday 29.04. 09:45 - 13:00 Ort in u:find Details
  • Tuesday 13.05. 09:45 - 13:00 Ort in u:find Details
  • Tuesday 27.05. 09:45 - 13:00 Ort in u:find Details
  • Saturday 14.06. 09:45 - 14:45 Ort in u:find Details
  • Tuesday 24.06. 09:45 - 13:00 Ort in u:find Details

Information

Aims, contents and method of the course

Methods will be mostly hands on. Based on Code-Snippets, real live and synthetic data, problem descriptions, hand-outs and other provided material students will step by step alone, in pairs and groups solve problems to acquire deeper understanding of approaches, concepts and practices.

Smaller tasks will be done as home work.

Assessment and permitted materials

It is essential, that students have a working python environment in Visual Studio Code and git installed on their computers at the start of the course.

LLM-based Helpers and tools like CoPilot are highly encouraged, but not needed for the course.

Minimum requirements and assessment criteria

The evaluation of the course will be based on the engagement during the course time (70%) and a small project done by each student (30%).

Examination topics

Reading list

Complete list will be handed out at the start of the seminar.

Association in the course directory

DH-S II
Cluster I: Sprache und Literatur

Last modified: Fr 31.01.2025 12:06