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290002 PS Spatial Data Science (2022W)
Continuous assessment of course work
Labels
Registration/Deregistration
Note: The time of your registration within the registration period has no effect on the allocation of places (no first come, first served).
- Registration is open from Mo 05.09.2022 09:00 to Mo 19.09.2022 09:00
- Registration is open from We 21.09.2022 09:00 to Fr 30.09.2022 12:00
- Deregistration possible until Mo 31.10.2022 23:59
Details
max. 30 participants
Language: English
Lecturers
Classes (iCal) - next class is marked with N
- Monday 07.11. 12:30 - 15:00 GIS-Labor Geo NIG 1.OG
- Monday 14.11. 12:30 - 15:00 GIS-Labor Geo NIG 1.OG
- Monday 21.11. 12:30 - 15:00 GIS-Labor Geo NIG 1.OG
- Monday 28.11. 12:30 - 15:00 GIS-Labor Geo NIG 1.OG
- Monday 05.12. 12:30 - 15:00 GIS-Labor Geo NIG 1.OG
- Monday 12.12. 12:30 - 15:00 GIS-Labor Geo NIG 1.OG
- Monday 09.01. 12:30 - 15:00 GIS-Labor Geo NIG 1.OG
- Monday 16.01. 12:30 - 15:00 GIS-Labor Geo NIG 1.OG
- Monday 23.01. 12:30 - 15:00 GIS-Labor Geo NIG 1.OG
Information
Aims, contents and method of the course
This course will introduce students to Spatial Data Science as a "fourth paradigm" of science. We will also discuss the role of FAIR principles (findability, accessibility, interoperability, and reusability). The course will cover all stages from the initial conceptualization and representation of data to their creation, entry, and cleaning as well as their analysis, e.g., using clustering.The course will start with foundational literature about different kinds of regions in geography and then introduce a novel, data-synthesis-based method to replicate the findings of these classical papers.Topics will include introductory materials in knowledge representation, data engineering, geographic information retrieval, clustering, classification, and so on. We will also touch on several application areas, such as social sensing and place recommendations.Students will then develop their own experiments (as a series of assignments) and present them during the class.
Assessment and permitted materials
Active participation, assignments, final presentation
Minimum requirements and assessment criteria
Interest in the representation and analysis of data. We are also happy to invite students outside of geoinformation to participate.
Examination topics
Immanent examination character:
• Ongoing active participation (10%)
• Assignments (60%)
• Presentation/ report (30%)A positive conclusion is given from an overall rating of 51%.
• Ongoing active participation (10%)
• Assignments (60%)
• Presentation/ report (30%)A positive conclusion is given from an overall rating of 51%.
Reading list
Association in the course directory
(MK2-c-PI) (MK1-W2-PI)
Last modified: Tu 11.10.2022 08:50