Display language
To modulepage Generate PDF

#61438 / #1

Seit WiSe 2020/21

English

Advanced Methods for Geospatial Analysis

6

Kada, Martin

benotet

Mündliche Prüfung

Zugehörigkeit


Fakultät VI

Institut für Geodäsie und Geoinformationstechnik

36331100 FG Methodik der Geoinformationstechnik

Geodesy and Geoinformation Science

Kontakt


H 12

No information

martin.kada@tu-berlin.de

No information

Learning Outcomes

Students understand advanced concepts and methods for the management, processing, analysis, and visualization of geographical data. They are familiar with advanced data structures and algorithms, can apply them to solve geometric and topological problems, and have basic knowledge of spatial statistics. They can model probabilistic concepts for geospatial phenomena and implement them in an object-oriented programming environment (e.g. using Python).

Content

Geometric and topological data structures for 2D/3D geographical data, algorithm design paradigms in geospatial data processing (incremental, divide-and-conquer, plane sweep, etc.), spatial context, crusts and skeletons, Minkowski sums, spatial tessellations, triangulations, spatial arrangements, sorting and searching of geographical data, flow networks, maximum flow, minimum cut, bipartite matching, random fields, linear programming, simplex algorithm, interior-point methods, real-time rendering techniques for 2D/3D geo data, widely used topic-related programming libraries (e.g. for Python).

Module Components

Pflichtgruppe:

All Courses are mandatory.

Course NameTypeNumberCycleLanguageSWSVZ
Advanced Methods for Geospatial AnalysisIV3633 L 9077WiSe/SoSeNo information4

Workload and Credit Points

Advanced Methods for Geospatial Analysis (IV):

Workload descriptionMultiplierHoursTotal
Präsenzzeit15.04.0h60.0h
Vor-/Nachbereitung15.08.0h120.0h
180.0h(~6 LP)
The Workload of the module sums up to 180.0 Hours. Therefore the module contains 6 Credits.

Description of Teaching and Learning Methods

Lectures (50%) and exercises (50%).

Requirements for participation and examination

Desirable prerequisites for participation in the courses:

Successful completion of module Geoinformatics.

Mandatory requirements for the module test application:

This module has no requirements.

Module completion

Grading

graded

Type of exam

Oral exam

Language

English

Duration/Extent

30 Minutes

Duration of the Module

The following number of semesters is estimated for taking and completing the module:
1 Semester.

This module may be commenced in the following semesters:
Sommersemester.

Maximum Number of Participants

This module is not limited to a number of students.

Registration Procedures

No information.

Recommended reading, Lecture notes

Lecture notes

Availability:  unavailable

 

Electronical lecture notes

Availability:  available

 

Literature

Recommended literature
No recommended literature given

Assigned Degree Programs


This module is used in the following Degree Programs (new System):

Studiengang / StuPOStuPOsVerwendungenErste VerwendungLetzte Verwendung
Geodesy and Geoinformation Science (M. Sc.)128WiSe 2020/21SoSe 2024

Students of other degrees can participate in this module without capacity testing.

Miscellaneous

No information