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Root number
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480094 |
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Semester
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FS2025 |
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Type of course
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Lecture |
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Allocation to subject
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Geography |
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Type of exam
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Seminar paper |
| Title |
Applied Geodata Science I |
| Description |
This course introduces the typical data science workflow using various examples of geographical and environmental data. With a strong hands-on component and a series of input lectures, this course introduces the basic concepts of data science and teaches how to conduct each step of the data science workflow. This includes the handling of various data formats, the formulation and fitting of robust statistical models, including basic machine learning algorithms, the effective visualisation and communication of results, and the implementation of reproducible workflows, founded in Open Science principles. The overall course goal is to teach students to tell a story with data.
All tutorials use the R programming language.
Students will work on their own laptops. |
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ILIAS-Link (Learning resource for course)
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Registrations are transmitted from CTS to ILIAS (no admission in ILIAS possible).
ILIAS
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Link to another web site
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| Lecturers |
Prof. Dr.
Benjamin David Stocker, Institute of Geography ✉
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ECTS
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4 |
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Recognition as optional course possible
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Yes |
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Grading
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1 to 6 |
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| Dates |
Monday 14:15-16:00 Weekly
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| Rooms |
Hörsaal 001, Geographie GIUB
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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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