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.

2022W, VU, 2.0h, 3.0EC

Properties

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

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

Immanent

Additional information

Hybrid Lectures Zoom Link: https://tuwien.zoom.us/j/93329349139?pwd=ZHFaY2d5WG9rZDBkc3NFbmx0Skp2QT09 (Meeting ID: 933 2934 9139, Password: 4cZkN8Kc)

06.10.2022 14:15-15:45 (In-situ) – Hanbury: Introduction to Course and Data Science
13.10.2022 14:15-15:45 (Hybrid) – Knees: Data Science Experiments
20.10.2022 14:15-15:45 (In-situ) – Hanbury: Introduction to Ethical and Legal Aspects

27.10.2022 14:15-15:45 (Hybrid) – Knees: Experimental Designs I
03.11.2022 14:15-15:45 (Hybrid) – Knees: Experimental Designs II
10.11.2022 14:15-15:45 (Hybrid) – Knees: Experimental Designs III
17.11.2022 14:15-15:45 (In-situ) – Schindler: Hands-on Data Science Workflow

24.11.2022 14:15-15:45 (In-situ) – Rauber: Reproducibility
01.12.2022 14:15-15:45 (In-situ) – Rauber: Data Management
15.12.2022 14:15-15:45 (In-situ) (Backup date -- might not be needed)
22.12.2022 14:15-15:45 (In-situ) (Backup date -- might not be needed)

12.01.2023 14:15-15:45 (In-situ) Project Presentations
19.01.2023 14:15-15:45 (In-situ) Project Presentations

26.01.2023 14:00-15:30 (In-situ) Written Exam

March 2022 Exam repeat

Lecturers

Institute

Course dates

DayTimeDateLocationDescription
Thu14:00 - 16:0006.10.2022 - 19.01.2023FH 8 Nöbauer HS - MATH Lecture (in-situ)
Experiment Design for Data Science - Single appointments
DayDateTimeLocationDescription
Thu06.10.202214:00 - 16:00FH 8 Nöbauer HS - MATH Lecture (in-situ) – Hanbury: Introduction to Course and Data Science
Thu13.10.202214:00 - 16:00FH 8 Nöbauer HS - MATH Lecture (Hybrid Zoom + FH8) – Knees: Data Science Experiments
Thu20.10.202214:00 - 16:00FH 8 Nöbauer HS - MATH Lecture (in-situ) – Hanbury: Introduction to Ethical and Legal Aspects
Thu27.10.202214:00 - 16:00FH 8 Nöbauer HS - MATH Lecture (Hybrid Zoom + FH8) – Knees: Experimental Designs I
Thu03.11.202214:00 - 16:00FH 8 Nöbauer HS - MATH Lecture (Hybrid Zoom + FH8) – Knees: Experimental Designs II
Thu10.11.202214:00 - 16:00FH 8 Nöbauer HS - MATH Lecture (Hybrid Zoom + FH8) – Knees: Experimental Designs III
Thu17.11.202214:00 - 16:00FH 8 Nöbauer HS - MATH Lecture (in-situ) – Schindler: Hands-on Data Science Workflow
Thu24.11.202214:00 - 16:00FH 8 Nöbauer HS - MATH Lecture (in-situ) – Rauber: Reproducibility
Thu01.12.202214:00 - 16:00FH 8 Nöbauer HS - MATH Lecture (in-situ) – Rauber: Data Management
Thu15.12.202214:00 - 16:00FH 8 Nöbauer HS - MATH (Backup date -- might not be needed)
Thu22.12.202214:00 - 16:00FH 8 Nöbauer HS - MATH (Backup date -- might not be needed)
Thu12.01.202314:00 - 16:00FH 8 Nöbauer HS - MATH Project Presentations
Thu19.01.202314:00 - 16:00FH 8 Nöbauer HS - MATH Project Presentations

Examination modalities

2 Exercises, Exam

Course registration

Begin End Deregistration end
31.08.2022 00:00 23.10.2022 23:59 23.10.2022 23:59

Curricula

Literature

No lecture notes are available.

Language

English