General information

Course name	Seminar: Visual Geodata Mining (VGDM)
Course number	7702
Semester	WS 2022/23
Current number of participants	3
expected number of participants	12
Home institute	Institut für Geographie
participating institutes	Angewandte Geoinformatik
Courses type	Seminar in category Teaching
Next date	Mon., 06.02.2023 14:00 - 15:30, Room: (1003/B)
Online/Digitale Veranstaltung	Veranstaltung wird in Präsenz abgehalten.
Hauptunterrichtssprache	englisch

Lecturers

Prof.Dr. Jukka Matthias Krisp

Course location / Course dates

(1003/B)

Monday: 14:00 - 15:30, weekly (15x)

Fields of study

Fakultät für Angewandte Informatik > Geographie/Erdkunde

Module assignments

Geographie Master Geographie, 2. Version > MSc_Geo_F_NebenfÃ¤cher > GEO-5127 (=MSc_Geo_NF_GI) - Geoinformatik (MScGeo) > Forschungsnahe Themen der Geoinformatik
Geographie Master Geographie PO 2018, 2. Version > Grundlagen: Geographie Methoden > GEO-4257 - Methoden der Geoinformatik > Methoden der Geoinformatik / Methods in Geoinformatics
Master of Education Master of Education, 8. Version > 231 Fachwissenschaftliche Module B in Geographie > GEO-6157 (=MaLA-FW-Geo-19) - Methoden 1 - Angewandte Geoinformatik (MScGeo) > Seminar Angewandte Geoinformatik
Geographie Master Geographie, 2. Version > MSc_Geo_A_Methoden > GEO-6157 (=MScGeo_MT1-AGI) - Methoden 1 - Angewandte Geoinformatik (MScGeo) > Seminar Angewandte Geoinformatik
Austauschstudium - FAI Austauschstudium FAI, 1. Version > FakultÃ¤t fÃ¼r Angewandte Informatik - Master Level > GEO-5129 - Geoinformatik 2 > Vorlesung/Seminar zu Geodatenanalyse
Geoinformatik Master Geoinformatik, 4. Version > MScGI_Module > GEO-5129 (=MScGI_GI2) - Geoinformatik 2 > Vorlesung/Seminar zu Geodatenanalyse

Comment/Description

The course language is English.

IMPORTANT. - The registration is binding. (Anmeldung ist verbindlich.) If you sign up for this course, you will take part.

The course deals with spatial and visual data mining techniques in multivariate data sets. After participating in the event the student are able to:
• understand applications and methods to "visual data mining"
• use methods and applications of "visual spatial data mining"
• assess visual data mining tools (anticipated "GeoViz and GeoDA")
• evaluate methods of "visual spatial data mining"
• understand the overall "visual mining process"

Admission settings

The course is part of admission "Anmeldung gesperrt (global)".

The following rules apply for the admission:

The admission is locked.

Registration mode

The enrolment is binding, participants cannot unsubscribe themselves.