Data Science in Economics
About us
Welcome to our website!
The Chair of Data Science in Economics at the Faculty of Economics at Ruhr University Bochum works on analyses with structured and unstructured data sets, Big Data, Machine Learning, Artificial Intelligence, as well as on research questions on Digital Transformation, Innovation, Regional, Labour and International Economics and other fields of application in Economics.
In research and in the courses taught at the Chair, we are programming in Python, R, Stata, among others.
Contact
For any questions about the Chair's lectures, seminars, or other events, please always contact us at
ls-dsecon@ruhr-uni-bochum.de.
Only if you want to make specific inquiries, please contact the relevant person directly.
Exam for "Machine Learning and Programming in Python"
There will be an exam for the lecture on "Machine Learning and Programming in Python" (Master/ PhD) on the 29.7.2024, 8-10 am. Students who have been formally accepted as participants of this course in the Winter Semester 2023/2024 may take part in this exam, too. Please consider and follow the registration deadlines in FlexNow.
Exam for "Grundlagen in Data Science"
There will be a second exam for the Bachelor's lecture on "Grundlagen in Data Science" on 1.8.2024, from 12-14 pm ("Nachschreibtermin"). Please follow the registration deadlines as given in FlexNow.
Courses in the summer term 2024
please see the course information on this website, in the university calendar and in Moodle
Courses in the winter term 2024/2025
please see the course information on this website, in the university calendar and in Moodle
Dates for viewing exams
Grundlagen in Data Science: Monday, 25.3. 14:00-16:00 and Friday, 5.4. 14:00-16:00. Please write an email to dsecon-itc@ruhr-uni-bochum.de to register for the exam review.
Machine Learning and Programming in Python: tba
Dates for seminar paper review
Bachelorseminar in Data Science: Tuesday, 26.3., 14:00-16:00.
Seminar Digitale Transformation und ökonomische Entwicklung: Tuesday, 26.3., 14:00-16:00.
Seminar zu Wachstum, Nachhaltigkeit und Transformation: Tuesday, 26.3., 14:00-16:00.
Please write an email at ls-dsecon@rub.de if you would like to get an appointment for a review of your seminar paper
Team
Prof. Dr. Astrid Krenz
Chair of the department, Lehrstuhlinhaberin, Professor, Professorin
Xenia Zhang
Research assistant, Scientific assistant
Frauke Schneider
Research assistant, Scientific assistant
Kim Michelle Wirth
Student assistant
Nhat Quang Huynh
Research assistant, Scientific assistant
Nhi Phuong Ta
Research assistant, Scientific assistant
Jammila Laâguidi
Research assistant, Scientific assistant
Teaching
Information on:
Topics for Bachelor and Master theses
Teaching offers
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Übung Machine Learning and Programming in Python (Master/PhD)
Übung
2 contact hours
SS
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Tutorium zu Grundlagen in Data Science (Bachelor)
Tutorium
1 contact hours
irreg.
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Wachstum, Nachhaltigkeit und Transformation (Bachelor)
Seminar
2 contact hours
irreg.
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Machine Learning and Programming in Python (Master, PhD)
Lecture
2 contact hours
SS
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Grundlagen in Data Science (Bachelor)
Lecture
2 contact hours
WS
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Übung zu Grundlagen in Data Science (Bachelor)
Übung
2 contact hours
WS
Next dates
April 03, 2024
Application for Machine Learning and Programming in Python
April 08, 2024
Application for the Bachelorseminar in Data Science
April 08, 2024
Application for Seminar zu Digitale Transformation und ökonomische Entwicklung
April 08, 2024
Application for Seminar Wachstum, Nachhaltigkeit und Transformation
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