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
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
|
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