TU Wien:Datenorientierte Programmierparadigmen VU (Hanbury)

From VoWi
Jump to navigation Jump to search


Lecturers Sebastian Böck, Allan Hanbury, Florina Mihaela Piroi, Elmar Kiesling
Department Information Systems Engineering
When winter semester
Language English
Links tiss:188995
Master Data Science Pflichtmodul FDS/FD - Fundamentals of Data Science - Foundations
Masterstudium Computational Science and Engineering Wahlmodul Data Management
Master Business Informatics Wahlmodul DA/COR - Data Analytics Core
Erweiterung Digitale Kompetenzen Wahlmodul Anwendungsfelder der Digitalisierung: Informatik

Mattermost: Channel "datenorientierte-programmierparadigmen"Team invite & account creation linkMattermost-Infos


noch offen, bitte nicht von TISS/u:find oder Homepage kopieren, sondern aus Studierendensicht beschreiben.


Some lectures, 3 assignments to be solved.

Benötigte/Empfehlenswerte Vorkenntnisse[edit]

Some programming knowledge, especially python, is certainly necessary. Data visualization and some statistical knowledge regarding basic testing, correlation, regression models. Little bit about how to handle data (e.g. pandas) and basics about pre-processing, cleaning data. (These things are also explained in the lectures, to some extent).


noch offen


  • 1st assignment (individual): compare diffrent programming paradigms (OOP, Data-Oriented). To be done in using jupyter-notebook on infrastructure of TU (on the web).
  • 2nd assignment (individual): loading data, pre-processing (filling missign values, outlier detection and removal), aggregating and merging data, analyzing data (correlations, etc.), building a model for prediction. Also in jupyter, as above.
  • 3rd assignment (groups of 4): larger project; select from list of topics, collect, organize, process your own data to answer the given problem. Written report and final presentation.

Prüfung, Benotung[edit]

There is no exam, only the 3 assignments. Points earned for these determine your grade.

Dauer der Zeugnisausstellung[edit]

noch offen


noch offen


noch offen


  • Final presentation: there is a strict 10 minutes time limit that is strictly enforced. Make sure that you can fit your presentation into this time slot, less is more here.
  • Start early with the final project (exercise 3), it can be quite some work.

Verbesserungsvorschläge / Kritik[edit]

noch offen


This page has no attachments yet but you can add some.