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.

2020W, 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 addtion, two exercises will be done.


The effort breakdown is:

9 2-hour lectures: 18h
Exercise 1: 15h
Exercise 2 (incl presentation): 25h
Exam preparation: 16h
Exam: 1h
SUM: 75h



Teaching methods

Lectures, exercises

Mode of examination


Additional information

Link to Lectures: https://tuwien.zoom.us/j/92384645850?pwd=dk8zSjM2UGEvQlIzUW1DQVNLYy8vQT09
Zoom Meeting ID: 923 8464 5850 Password: 4G8NVs+=


(all online, via Zoom, Thu, 2-4pm c.t.)

08.10.2020 Introduction to data science - data science process -Hanbury
15.10.2020 Data and the data lifecycle, ethical and legal aspects -Hanbury

22.10.2020 Conceptual Experiment Design: Planning and Execution of Experiments, hypotheses, Data collection -Knees

22.10.2020 Exercise 1 (individual) online: Design an experimental workflow for a given dataset
                   Submission Deadline: 15.11.2020

29.10.2020 Conceptual Experiment Design: ML basics -Knees
05.11.2020 Conceptual Experiment Design: Evaluation -Knees

12.11.2020 Workflow paradigms and environments  -Schindler, Knees
26.11.2020 Experiment Error Analysis and Statistical Testing -Knees
03.12.2020 Experiment Error Analysis and Statistical Testing -Knees

03.12.2020 Exercise 2 (in groups) online: Reproduce experimental results from a paper
                   Submission Deadline: 24.01.2021


10.12.2020 Reproducibility and traceability 1 -Rauber
17.12.2020 Reproducibility and traceability 2 -Rauber

07.01.2021 Intermediate Group Presentations of Exercise 2
14.01.2021 Intermediate Group Presentations of Exercise 2

21.01.2021 Written Exam (online)

March 2021 Exam repeat

June 2021 Exam repeat



Course dates

Thu14:00 - 16:0001.10.2020 - 14.01.2021EI 8 Pötzl HS Lecture
Thu14:15 - 15:4508.10.2020 - 14.01.2021 Zoom (Link on TUWEL) (LIVE)Lecture (online)
Experiment Design for Data Science - Single appointments
Thu08.10.202014:15 - 15:45 Zoom (Link on TUWEL)Lecture (online)
Thu15.10.202014:15 - 15:45 Zoom (Link on TUWEL)Lecture (online)
Thu22.10.202014:15 - 15:45 Zoom (Link on TUWEL)Lecture (online)
Thu29.10.202014:15 - 15:45 Zoom (Link on TUWEL)Lecture (online)
Thu05.11.202014:15 - 15:45 Zoom (Link on TUWEL)Lecture (online)
Thu12.11.202014:15 - 15:45 Zoom (Link on TUWEL)Lecture (online)
Thu19.11.202014:15 - 15:45 Zoom (Link on TUWEL)Lecture (online)
Thu26.11.202014:15 - 15:45 Zoom (Link on TUWEL)Lecture (online)
Thu03.12.202014:15 - 15:45 Zoom (Link on TUWEL)Lecture (online)
Thu10.12.202014:15 - 15:45 Zoom (Link on TUWEL)Lecture (online)
Thu17.12.202014:15 - 15:45 Zoom (Link on TUWEL)Lecture (online)
Thu07.01.202114:15 - 15:45 Zoom (Link on TUWEL)Lecture (online)
Thu14.01.202114:15 - 15:45 Zoom (Link on TUWEL)Lecture (online)

Examination modalities

2 Exercises, Exam


DayTimeDateRoomMode of examinationApplication timeApplication modeExam
Thu - 17.06.2021written31.05.2021 12:00 - 13.06.2021 23:59TISS3. Termin

Course registration

Begin End Deregistration end
21.09.2020 00:00 27.12.2020 23:59 26.12.2020 23:59



No lecture notes are available.