(in Polish) Przedmioty do wyboru, dzienne studia II st. (Geoinformatyka, kartografia, teledetekcja) - sem. letni (course group defined by Faculty of Geography and Regional Studies)

Faculty: Faculty of Geography and Regional Studies

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Course group: (in Polish) Przedmioty do wyboru, dzienne studia II st. (Geoinformatyka, kartografia, teledetekcja) - sem. letni

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2023L - Summer semester 2023/24
2024L - Summer semester 2024/25
(there could be semester, trimester or one-year classes)

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2023L

2024L

1900-3-PAD-KT-W

Faculty of Geography and Regional Studies

3D data acquisition and analysi

Wydział Geografii i Studiów Regionalnych

Pozyskiwanie i analiza danych 3D (GPS)

Classes

Summer semester 2023/24

Classes - 25 hours
Lecture - 10 hours

Summer semester 2024/25

Classes - 25 hours
Lecture - 10 hours

Groups

- (in Polish) Przedmioty do wyboru, dzienne studia II st. (Geoinformatyka, kartografia, teledetekcja) - sem. 4

- (in Polish) Przedmioty do wyboru, dzienne studia II st. (Geoinformatyka, kartografia, teledetekcja) - sem. letni

Brief description

Acquiring the skills of working with GPS devices. Getting acquainted with the software which allows the measurements results storage, processing and analysis.

The basics of the theory of geodetic measurements providing the ability to perform correct measurements (GPS systems and spatial reference systems), the methods of geodata acquisition and analysis (servers and websites), using surveying equipment to enhance measurements’ precision.

Course page

1900-3-KwM-GKT-W

Faculty of Geography and Regional Studies

Cartography in media

Wydział Geografii i Studiów Regionalnych

Kartografia w mediach

Classes

Summer semester 2023/24

Seminar - 30 hours

Summer semester 2024/25

Seminar - 10 hours
Project - 20 hours

Groups

- (in Polish) Przedmioty do wyboru, dzienne studia II st. (Geoinformatyka, kartografia, teledetekcja) - sem. 4

- (in Polish) Przedmioty do wyboru, dzienne studia II st. (Geoinformatyka, kartografia, teledetekcja) - sem. letni

- (in Polish) Przedmioty WGSR ogólne opcjonalne, studia II stopnia

Brief description

(in Polish) Celem przedmiotu jest przekazanie praktycznej wiedzy o zasadach opracowywania małoskalowych map tematycznych przeznaczonych do publikacji w Internecie. W ramach przedmiotu studenci przygotowują mapę z opisem i publikują ją w mediach społecznościowych i Internecie.

Course page

1900-3-RPM-KT-W

Faculty of Geography and Regional Studies

City maps elaboration

Wydział Geografii i Studiów Regionalnych

Redakcja planów miast

Classes

Summer semester 2023/24

Classes - 30 hours

Summer semester 2024/25

Classes - 30 hours

Groups

- (in Polish) Przedmioty do wyboru, dzienne studia II st. (Geoinformatyka, kartografia, teledetekcja) - sem. 4

- (in Polish) Przedmioty do wyboru, dzienne studia II st. (Geoinformatyka, kartografia, teledetekcja) - sem. letni

- (in Polish) Przedmioty WGSR ogólne opcjonalne, studia II stopnia

Brief description

In this course, students will learn and put into practice the basic principles of drafting city plans.

Course page

1900-3-FRS-KT-WA

Faculty of Geography and Regional Studies

Field remote sensing data analysis

Wydział Geografii i Studiów Regionalnych

Field remote sensing data analysis

n/a

Classes

Summer semester 2023/24

Seminar - 20 hours

Groups

- (in Polish) Przedmioty do wyboru, dzienne studia II st. (Geoinformatyka, kartografia, teledetekcja) - sem. 4

- (in Polish) Przedmioty do wyboru, dzienne studia II st. (Geoinformatyka, kartografia, teledetekcja) - sem. letni

- (in Polish) Przedmioty w języku angielskim do wyboru na studiach II st. na kierunku MSOŚ (University Centre for Environmental Studies and Sustainable Development)

Brief description

(in Polish) The aim of this course is to prepare students for planning, acquiring and processing field measurements dedicated to remote sensing analysis.

The course will cover such issues as remote sensing data acquisition emphasizing methods of field studies, data preparation (selecting, pre-processing, storing), statistical analysis, processing of the data,

Students will discuss the data processing workflow and plan their own analysis.

Course page