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University of Oldenburg
08.05.2021 21:40:01
Seminar: 1.07.281 Frei wählbares Modul: Big Data and Machine Learning in Social Sciences (Computational Social Science) - Details
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General information

Course name Seminar: 1.07.281 Frei wählbares Modul: Big Data and Machine Learning in Social Sciences (Computational Social Science)
Subtitle (Lehrsprache Englisch)
Course number 1.07.281
Semester Wintersemester 2020/2021
Current number of participants 6
maximum number of participants 25
Home institute Department of Social Sciences
Courses type Seminar in category Teaching
First date Thu., 22.10.2020 10:00 - 12:00, Room: (online)
Type/Form S 2SWS
Lehrsprache englisch
ECTS points 6

Course location / Course dates

(online) Thursday: 10:00 - 12:00, weekly (14x)

Comment/Description

The course focuses on data extraction and machine learning for image and text classification using Python and TensorFlow (https://www. tensorflow.org/). After learning the basic programming skills of Python, students practice data collection via the Twitter API and classify the collected data using machine learning. At the end of the course, students will be familiar with Python and TensorFlow to use this knowledge for their own further research.
The course is held in English. Previous programming knowledge is not required. The seminar is designed for students at various levels with a general interest in digitalization and computational social science.

Admission settings

The course is part of admission "sow935/936 WS".
Settings for unsubscribe:
  • A defined number of seats will be assigned to these courses.
    The seats in the affected courses have been assigned at 25.09.2020 on 00:15. Additional seats may be available via a wait list.
  • The enrolment is possible from 15.09.2020, 16:00 to 09.11.2020, 23:59.
  • The following conditions must be met for enrolment:
    Subject is Sozialwissenschaften and Degree is Master