290106 PRS Project Seminar Geoinformation (2024W)
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 02.09.2024 08:00 to Mo 16.09.2024 12:00
- Registration is open from Th 19.09.2024 08:00 to Fr 27.09.2024 12:00
- Deregistration possible until Th 31.10.2024 23:59
Details
max. 30 participants
Language: German
Lecturers
Classes (iCal) - next class is marked with N
Monday 07.10.24 14:30 - 17:00 GIS-Labor Geo NIG 1.OG
Monday 21.10.24 14:30 - 17:00 GIS-Labor Geo NIG 1.OG
Monday 04.11.24 14:30 - 17:00 GIS-Labor Geo NIG 1.OG
Monday 18.11.24 14:30 - 17:00 GIS-Labor Geo NIG 1.OG
Monday 02.12.24 14:30 - 17:00 GIS-Labor Geo NIG 1.OG
Monday 16.12.24 14:30 - 17:00 GIS-Labor Geo NIG 1.OG
Monday 13.01.25 14:30 - 17:00 GIS-Labor Geo NIG 1.OG
Monday 27.01.25 14:30 - 17:00 GIS-Labor Geo NIG 1.OG
- Monday 07.10. 14:30 - 17:00 GIS-Labor Geo NIG 1.OG
- Monday 21.10. 14:30 - 17:00 GIS-Labor Geo NIG 1.OG
- Monday 04.11. 14:30 - 17:00 GIS-Labor Geo NIG 1.OG
- Monday 18.11. 14:30 - 17:00 GIS-Labor Geo NIG 1.OG
- Monday 02.12. 14:30 - 17:00 GIS-Labor Geo NIG 1.OG
- N Monday 16.12. 14:30 - 17:00 GIS-Labor Geo NIG 1.OG
- Monday 13.01. 14:30 - 17:00 GIS-Labor Geo NIG 1.OG
- Monday 27.01. 14:30 - 17:00 GIS-Labor Geo NIG 1.OG
Information
Aims, contents and method of the course
Assessment and permitted materials
1) Attendance 10% (students are allowed to miss one unit without excuse).
2) Participation & Process protocol 40% (short presentations on the practical parts, discussions, answering tasks, documentation)
3) Report and presentation (50%).
2) Participation & Process protocol 40% (short presentations on the practical parts, discussions, answering tasks, documentation)
3) Report and presentation (50%).
Minimum requirements and assessment criteria
Point (1) is entirely an individual performance. Point (3) is entirely a group performance. Points (2) is made up of individual and group performances, depending on the task.A positive grade requires an overall score of at least 51%.
Examination topics
Active participation and attendance, the process protocol and given assignments as well as the final report and its presentation are assessed.
Reading list
https://web.stanford.edu/class/archive/cs/cs224n/cs224n.1244/final-projects/SukrutOak.pdf
https://arxiv.org/pdf/2311.00530
https://arxiv.org/pdf/2310.07889
https://arxiv.org/pdf/2401.03630v2
https://medium.com/@rishisharma1510/finding-the-most-efficient-route-with-generative-ai-and-large-language-models-llms-in-python-f4d430ab865b
https://www.heise.de/en/news/MIT-lets-robots-navigate-text-based-with-LLMs-9758944.html
https://sites.google.com/view/lfg-nav/
https://hackernoon.com/navigation-with-large-language-models-implementation-details
https://developers.google.com/maps/documentation/places/web-service/experimental/places-generative
https://www.mdpi.com/2220-9964/13/10/348
https://arxiv.org/pdf/2311.00530
https://arxiv.org/pdf/2310.07889
https://arxiv.org/pdf/2401.03630v2
https://medium.com/@rishisharma1510/finding-the-most-efficient-route-with-generative-ai-and-large-language-models-llms-in-python-f4d430ab865b
https://www.heise.de/en/news/MIT-lets-robots-navigate-text-based-with-LLMs-9758944.html
https://sites.google.com/view/lfg-nav/
https://hackernoon.com/navigation-with-large-language-models-implementation-details
https://developers.google.com/maps/documentation/places/web-service/experimental/places-generative
https://www.mdpi.com/2220-9964/13/10/348
Association in the course directory
(MK4-c-PSE)
Last modified: Mo 07.10.2024 17:26
2. **Data Collection**: Groups identify and gather relevant spatio-temporal data related to their chosen topic.
3. **Data Analysis and Interpretation**: Students analyze the collected data, interpret the results, and draw conclusions.
4. **Development of the Cartographic Product**: Based on their analysis, students develop a visual representation of their findings.
5. **Presentation and Reporting**: Groups present their results to the class and submit a comprehensive scientific report detailing their methodology, analysis, and conclusions.The learning objectives are:1. Apply theories and methods from geoinformation and geovisualization to a practical case study. Students draw on what they have already learned in their studies as well as on newly presented topics.
2. Create and evaluate a narrative cartographic product in small groups.
3. Develop skills in scientific research, data analysis, and report writing.In the implementation of the projects, students are free to choose the data, technologies, methods, and analyses.The lectures include:- **Theoretical Inputs**: Covering storytelling with maps and spatio-temporal data.
- **Methodological Inputs**: Focused on scientific research methods, data analysis techniques, and effective reporting.
- **Guided Group Work Sessions**: Facilitating collaboration and problem-solving within groups.
- **Presentations and Feedback**: Opportunities for groups to present their progress and receive constructive feedback.
- **Independent Work and Consultation**: Providing time for groups to work independently and consult with the instructor as needed.Each group keeps a process protocol in which the progress of the project is documented from the beginning, and weekly assignments are completed to ensure steady progress.