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Data Science in Techno-Socio-Economic Systems
Last Updated: 2026-02-05 15:41:47
Abstract
This course introduces how techno-socio-economic systems in our complex society can be better understood with techniques and tools of data science. Students shall learn how the fundamentals of data science are used to give insights into the research of complexity science, computational social science, economics, finance, and others.
Objective
The goal of this course is to qualify students with knowledge on data science to better understand techno-socio-economic systems in our complex societies. This course aims to make students capable of applying the most appropriate and effective techniques of data science under different application scenarios. The course aims to engage students in exciting state-of-the-art scientific tools, methods and techniques of data science. In particular, lectures will be divided into research talks and tutorials. The course shall increase the awareness level of students of the importance of interdisciplinary research. Finally, students have the opportunity to develop their own data science skills based on a data challenge task, they have to solve, deliver and present at the end of the course.
General Information
- Language
- English
- Levels
- DS , MSC
- Frequency
- Yearly recurring
Examination
- Type
- graded semester performance
Registration & Places
- Max Places
- 80
Course Components
| Type | Title | Time & Place | Hours |
|---|---|---|---|
| seminar |
Data Science in Techno-Socio-Economic Systems
Block course: 8th of June to 13th of June 2020
|
|
39 h semesterly |
Offered In
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GESS Science in Perspective (Only the courses listed below will be recognized as "GESS Science in Perspective" courses. Further below you will find courses under the category "Type B courses Reflections about subject specific methods and content" as well as the language courses. During the Bachelor’s degree Students should acquire at least 6 ECTS and during the Master’s degree 2 ECTS. Students who already took a course within their main study program are NOT allowed to take the course again.)
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Type A: Enhancement of Reflection Competence (Suitable for all students. Students who already took a course within their main study program are NOT allowed to take the course again.)
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Type B: Reflection About Subject-Specific Methods and Contents (Subject-specific courses: Recommended for bachelor students after their first-year examination and for all master- or doctoral students. Students who already took a course within their main study program are NOT allowed to take the same course again. All these courses are listed under the category “Typ A”, this means, every student can enroll in these courses.)
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