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Spatial Data Analysis (5 cr)

Code: TX00BU12-3008

General information


Enrollment
06.05.2024 - 26.08.2024
Registration for the implementation has ended.
Timing
19.08.2024 - 15.12.2024
Implementation has ended.
Number of ECTS credits allocated
5 cr
Local portion
5 cr
Mode of delivery
On-campus
Unit
(2019-2024) School of Real Estate and Construction
Campus
Myllypurontie 1
Teaching languages
Finnish
Degree programmes
Surveying
Teachers
Matias Ingman
Groups
TXH21S1
Maanmittaustekniikan tutkinto-ohjelma päivä
Course
TX00BU12

Implementation has 14 reservations. Total duration of reservations is 38 h 30 min.

Time Topic Location
Thu 29.08.2024 time 12:30 - 15:00
(2 h 30 min)
Paikkatietoanalyysit TX00BU12-3008
MPA3011 Digitila
Thu 05.09.2024 time 12:30 - 15:00
(2 h 30 min)
Paikkatietoanalyysit TX00BU12-3008
MPA3011 Digitila
Thu 12.09.2024 time 12:30 - 15:30
(3 h 0 min)
Paikkatietoanalyysit TX00BU12-3008
MPA5011 Digitila
Thu 19.09.2024 time 12:30 - 15:30
(3 h 0 min)
Paikkatietoanalyysit TX00BU12-3008
MPA5011 Digitila
Thu 26.09.2024 time 12:30 - 15:30
(3 h 0 min)
Paikkatietoanalyysit TX00BU12-3008
MPA5011 Digitila
Thu 03.10.2024 time 12:30 - 15:30
(3 h 0 min)
Paikkatietoanalyysit TX00BU12-3008
MPA5011 Digitila
Thu 10.10.2024 time 12:30 - 15:30
(3 h 0 min)
Paikkatietoanalyysit TX00BU12-3008
MPA5011 Digitila
Thu 24.10.2024 time 12:30 - 15:30
(3 h 0 min)
Paikkatietoanalyysit TX00BU12-3008
MPA5011 Digitila
Thu 31.10.2024 time 12:30 - 15:30
(3 h 0 min)
Paikkatietoanalyysit TX00BU12-3008
MPA5011 Digitila
Thu 07.11.2024 time 12:30 - 15:30
(3 h 0 min)
Paikkatietoanalyysit TX00BU12-3008
MPA5011 Digitila
Thu 14.11.2024 time 12:30 - 15:30
(3 h 0 min)
Paikkatietoanalyysit TX00BU12-3008
MPA5011 Digitila
Thu 21.11.2024 time 12:30 - 15:30
(3 h 0 min)
Paikkatietoanalyysit TX00BU12-3008
MPA5011 Digitila
Mon 02.12.2024 time 16:15 - 17:45
(1 h 30 min)
Paikkatietoanalyysit TX00BU12-3008 TENTTI
MPA5018 Oppimistila
Thu 05.12.2024 time 12:30 - 14:30
(2 h 0 min)
Paikkatietoanalyysit TX00BU12-3008
MPA5011 Digitila
Changes to reservations may be possible.

Objective

On completion of the course the student will
- understand the meaning of spatial data analysis
- be able to use information technology related solutions in spatial data analysis
- be able to visualize spatial data
- be able to apply statistical methods to spatial data
-understands the structure and principle of spatiandata bases and spatial data management systems

Content

Applications and methods in spatial data analysis; visualization of spatial data.

Evaluation scale

0-5

Assessment criteria, satisfactory (1)

The student knows the principles of different analysis methods and is able to use the common tools for a GIS analysis.

Assessment criteria, good (3)

Student can use the common anasysis methods

Assessment criteria, excellent (5)

Student can use different kind analysis methods and toolsa and can use them creatively in solving problems independently.

Assessment criteria, approved/failed

The student knows the principles of different analysis methods and is able to use the common tools for a GIS analysis.

Qualifications

Geographical Information

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