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.

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

Lectures, exercises

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

2 Exercises, Exam