TU Wien:Experiment Design for Data Science VU (Rauber)

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Vortragende	Allan Hanbury• Bettina Manuela Johanna Kern• Peter Knees• Andreas Rauber
ECTS	3,0
Letzte Abhaltung	2024W
Sprache	English
Mattermost	experiment-design-for-data-science • Register • Mattermost-Infos
Links	tiss:188992, eLearning

Zuordnungen
Masterstudium Data Science	Modul FDS/FD - Fundamentals of Data Science - Foundations (Pflichtfach)
Masterstudium Business Informatics	Modul DA/EXT - Data Analytics Extension (Gebundenes Wahlfach)
Katalog Freie Wahlfächer
Katalog Freie Wahlfächer

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Data Exploration and Multiple-Choice Test (Assignment 1): The first assignment focuses on exploring a given dataset. Students analyze the data to uncover interesting patterns and insights. Following this, there is a multiple-choice test based on the data exploration. The test score determines the team assignments for the second task. This assignment is to be completed individually (not group work).
Reproducing Experiments from an Assigned Paper (Assignment 2): For the second assignment, students are randomly assigned a paper (no selection option). The task is to reproduce the experiments and results described in the paper. The difficulty of this task can vary depending on the paper assigned. This is a group assignment (teams of five). Groups present their progress during the semester to receive feedback. Deliverables include the code and a report.

Notes to Assigment 2:

Easy: The paper provides all datasets and code, making it a matter of downloading and running the experiments.
Hard: The paper does not provide code or datasets, requiring the group to implement everything from scratch