188.992 Experiment Design for Data Science
This course is in all assigned curricula part of the STEOP.
This course is in at least 1 assigned curriculum part of the STEOP.

2021W, VU, 2.0h, 3.0EC


  • Semester hours: 2.0
  • Credits: 3.0
  • Type: VU Lecture and Exercise
  • Format: Distance Learning

Learning outcomes

After successful completion of the course, students are able to discuss legal and ethical aspects of the use of data, formulate a problem for solving it using Data Science approaches, design rigorous Data Science experiments, and interpret the results of complex data analyses.

Subject of course

The following topics are covered in the lectures:

  • Introduction to Data Science
  • Data and the data lifecycle
  • Conceptual Experiment design
  • Workflow paradigms
  • Data management, reproducibilty and traceability
  • Experiment error analysis and statistical testing
  • Advanced experiment design

In addition, two exercises will be done.


The effort breakdown is:

9 2-hour lectures: 18h
Exercise 1: 10h
Exercise 2 (incl presentation): 30h
Exam preparation: 16h
Exam: 1h
SUM: 75h



Teaching methods

Lectures, exercises

Mode of examination


Additional information

Dates (all online via Zoom, Thu, 14:15-15:45)

First Meeting / Introduction to data science: Thu, Oct 14, 14:15-15:45

Zoom Meeting: https://tuwien.zoom.us/j/93329349139?pwd=ZHFaY2d5WG9rZDBkc3NFbmx0Skp2QT09

Meeting ID: 933 2934 9139, Password: 4cZkN8Kc

BLOCK Data Science

  • Introduction to data science - data science process -Hanbury
  • Data and the data lifecycle, ethical and legal aspects -Hanbury

BLOCK Conceptual Experiment Design

  • Planning and Execution of Experiments, hypotheses, Data collection -Knees
  • ML basics, Evaluation -Knees
  • Workflow paradigms and environments  -Schindler, Knees
  • Experiment Error Analysis and Statistical Testing 1 -Knees
  • Experiment Error Analysis and Statistical Testing 2 -Knees
  • Exercise 1 (individual): Design an experimental workflow for a given dataset 

BLOCK Reproducibility and traceability

  • Reproducibility and traceability 1 -Rauber
  • Reproducibility and traceability 2 -Rauber
  • Exercise 2 (in groups): Reproduce experimental results from a paper

January 2022 Intermediate Group Presentations of Exercise 2

January 2022 Written Exam (online)

March 2022 Exam repeat



Course dates

Thu14:15 - 15:4514.10.2021 - 20.01.2022 Zoom (Link on TUWEL)Lecture (online)
Experiment Design for Data Science - Single appointments
Thu14.10.202114:15 - 15:45 Zoom (Link on TUWEL)Lecture (online)
Thu21.10.202114:15 - 15:45 Zoom (Link on TUWEL)Lecture (online)
Thu28.10.202114:15 - 15:45 Zoom (Link on TUWEL)Lecture (online)
Thu04.11.202114:15 - 15:45 Zoom (Link on TUWEL)Lecture (online)
Thu11.11.202114:15 - 15:45 Zoom (Link on TUWEL)Lecture (online)
Thu18.11.202114:15 - 15:45 Zoom (Link on TUWEL)Lecture (online)
Thu25.11.202114:15 - 15:45 Zoom (Link on TUWEL)Lecture (online)
Thu02.12.202114:15 - 15:45 Zoom (Link on TUWEL)Lecture (online)
Thu09.12.202114:15 - 15:45 Zoom (Link on TUWEL)Lecture (online)
Thu16.12.202114:15 - 15:45 Zoom (Link on TUWEL)Lecture (online)
Thu13.01.202214:15 - 15:45 Zoom (Link on TUWEL)Lecture (online)
Thu20.01.202214:15 - 15:45 Zoom (Link on TUWEL)Lecture (online)

Examination modalities

2 Exercises, Exam


DayTimeDateRoomMode of examinationApplication timeApplication modeExam
Thu14:00 - 16:0026.01.2023Sem.R. DA grün 03 A written15.12.2022 00:00 - 25.01.2023 16:00TISSWritten Exam
Thu14:00 - 16:0026.01.2023Hörsaal 6 - RPL written15.12.2022 00:00 - 25.01.2023 16:00TISSWritten Exam
Thu14:00 - 16:0026.01.2023GM 8/9 - Hörsaal des Internationalen Wiener Motorensymposiums written15.12.2022 00:00 - 25.01.2023 16:00TISSWritten Exam
Thu16:00 - 18:0030.03.2023 Zoom (same Link as Lecture)written07.03.2023 00:00 - 29.03.2023 12:00TISSWritten Exam (alternative date)

Course registration

Begin End Deregistration end
01.09.2021 00:00 24.10.2021 23:59 24.10.2021 23:59



No lecture notes are available.