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University of Oldenburg
08.05.2021 21:44:08
Seminar: 1.07.281 Freiwählbares 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 Freiwählbares Modul: Big Data and Machine Learning in Social Sciences (Computational Social Science)
Subtitle (Lehrsprache Englisch)
Course number 1.07.281
Semester Wintersemester 2018/2019
Current number of participants 19
expected number of participants 25
Home institute Department of Social Sciences
Courses type Seminar in category Teaching
First date Thu., 18.10.2018 12:00 - 14:00, Room: A06 4-411
Type/Form S 2SWS
Lehrsprache englisch
ECTS points 6

Course location / Course dates

A06 4-411 Thursday. 18.10.18 12:00 - 14:00
A06 3-313 (OLExS-Labor) Friday. 09.11.18 14:00 - 18:00
Saturday. 10.11.18 09:00 - 15:00
Friday. 07.12.18 14:00 - 18:00
Saturday. 08.12.18 09:00 - 15:00
Friday. 11.01.19 14:00 - 18:00
Saturday. 12.01.19 09:00 - 15:00

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 programing 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 "Anmeldung gesperrt (global)".
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