Spatial Data Analysis (5 cr)
Code: TX00BU12-3007
General information
- Enrollment
-
02.05.2023 - 04.09.2023
Registration for the implementation has ended.
- Timing
-
01.08.2023 - 17.12.2023
Implementation has ended.
- Number of ECTS credits allocated
- 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
- Course
- TX00BU12
Implementation has 14 reservations. Total duration of reservations is 37 h 30 min.
| Time | Topic | Location |
|---|---|---|
|
Fri 01.09.2023 time 08:00 - 11:00 (3 h 0 min) |
Paikkatietoanalyysit TX00BU12-3007 |
MPA5011
Digitila
|
|
Fri 15.09.2023 time 08:00 - 11:00 (3 h 0 min) |
Paikkatietoanalyysit TX00BU12-3007 |
MPA5011
Digitila
|
|
Fri 22.09.2023 time 08:00 - 11:00 (3 h 0 min) |
Paikkatietoanalyysit TX00BU12-3007 |
MPA5011
Digitila
|
|
Fri 29.09.2023 time 08:00 - 11:00 (3 h 0 min) |
Paikkatietoanalyysit TX00BU12-3007 |
MPA5011
Digitila
|
|
Fri 06.10.2023 time 08:00 - 11:00 (3 h 0 min) |
Paikkatietoanalyysit TX00BU12-3007 |
MPA5011
Digitila
|
|
Fri 13.10.2023 time 08:00 - 11:00 (3 h 0 min) |
Paikkatietoanalyysit TX00BU12-3007 |
MPA5011
Digitila
|
|
Mon 23.10.2023 time 11:00 - 13:30 (2 h 30 min) |
Paikkatietoanalyysit TX00BU12-3007 |
MPA5011
Digitila
|
|
Mon 30.10.2023 time 11:00 - 13:30 (2 h 30 min) |
Paikkatietoanalyysit TX00BU12-3007 |
MPA5011
Digitila
|
|
Mon 06.11.2023 time 11:00 - 13:30 (2 h 30 min) |
Paikkatietoanalyysit TX00BU12-3007 |
MPA5011
Digitila
|
|
Mon 13.11.2023 time 11:00 - 13:30 (2 h 30 min) |
Paikkatietoanalyysit TX00BU12-3007 |
MPA5011
Digitila
|
|
Mon 20.11.2023 time 11:00 - 13:30 (2 h 30 min) |
Paikkatietoanalyysit TX00BU12-3007 |
MPA5011
Digitila
|
|
Mon 27.11.2023 time 11:00 - 13:30 (2 h 30 min) |
Paikkatietoanalyysit TX00BU12-3007 |
MPA5011
Digitila
|
|
Mon 04.12.2023 time 10:45 - 12:45 (2 h 0 min) |
Paikkatietoanalyysit TX00BU12-3007 TENTTI |
MPA5018
Oppimistila
|
|
Mon 04.12.2023 time 11:00 - 13:30 (2 h 30 min) |
Paikkatietoanalyysit TX00BU12-3007 |
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