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Root number
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456027 |
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Semester
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HS2022 |
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Type of course
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Block Course |
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Allocation to subject
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Sociology |
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Type of exam
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not defined |
| Title |
Computational social science – accessing and using digital data and technologies |
| Description |
Over the last decade, new forms of data have become widely available through the spread of websites, the digitization of public records, and the proliferation of mobile technologies. This has given rise to a spread of new techniques and technologies to collect and analyze such data. As a result, the field of computational social sciences has emerged, trying to harness the immense opportunities these developments bear for the social sciences. This course is designed as an introduction into this growing field. It has two goals: First, it will provide you with concrete skills to begin leveraging these opportunities for your own work. Drawing on the programming language R, this course will introduce you to important techniques in this field, including techniques to gather data from the web, analyze text, and various forms of machine learning. Second, this course will introduce you to the ethical and methodological considerations that come with using modern, digital forms of data in the social sciences.
Prerequisites:
- Basic familiarity with R or (great) willingness to learn it is advisable.
- Preliminary readings (limited number of core texts/exemplary studies to be distributed via ILIAS shortly before the start of the course)
- Good knowledge of English.
- Compulsory courses of the social sciences from the bachelor study concluded.
Inscription:
from August 15th 2022, 8 pm onwards via ILIAS
Form of Implementation: Online with Zoom |
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ILIAS-Link (Learning resource for course)
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No registration/deregistration in CTS (Admission in ILIAS possible).
ILIAS
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Link to another web site
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| Lecturers |
Dr.
Rudolf Farys, Department of Social Sciences ✉
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PD Dr.
Achim Edelmann, Department of Social Sciences ✉
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ECTS
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6 |
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Recognition as optional course possible
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No |
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Grading
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1 to 6 |
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| Dates |
Friday 14/10/2022 14:15-18:00
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Saturday 15/10/2022 09:15-17:00
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Friday 28/10/2022 14:15-18:00
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Saturday 29/10/2022 09:15-17:00
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Friday 4/11/2022 14:15-18:00
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Saturday 5/11/2022 09:15-17:00
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Tuesday 31/1/2023 23:50-23:55
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Rooms
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| Students please consult the detailed view for complete information on dates, rooms and planned podcasts. |
User:
Öffentlicher Bereich
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