Mathematical geodesy (5 cr)
Code: TX00BU05-3008
General information
- Enrollment
-
27.11.2023 - 14.01.2024
Registration for the implementation has ended.
- Timing
-
01.01.2024 - 12.05.2024
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 7 reservations. Total duration of reservations is 14 h 0 min.
| Time | Topic | Location |
|---|---|---|
|
Thu 21.03.2024 time 08:00 - 10:00 (2 h 0 min) |
Matemaattinen geodesia TX00BU05-3008 |
MPA5011
Digitila
|
|
Thu 28.03.2024 time 08:00 - 10:00 (2 h 0 min) |
Matemaattinen geodesia TX00BU05-3008 |
MPA5011
Digitila
|
|
Thu 04.04.2024 time 08:00 - 10:00 (2 h 0 min) |
Matemaattinen geodesia TX00BU05-3008 |
MPA5011
Digitila
|
|
Thu 11.04.2024 time 08:00 - 10:00 (2 h 0 min) |
Matemaattinen geodesia TX00BU05-3008 |
MPA5011
Digitila
|
|
Thu 18.04.2024 time 08:00 - 10:00 (2 h 0 min) |
Matemaattinen geodesia TX00BU05-3008 |
MPA5011
Digitila
|
|
Thu 25.04.2024 time 08:00 - 10:00 (2 h 0 min) |
Matemaattinen geodesia TX00BU05-3008 |
MPA5011
Digitila
|
|
Thu 25.04.2024 time 10:00 - 12:00 (2 h 0 min) |
Matemaattinen geodesia TX00BU05-3008 |
MPA1010
Metropolia-sali
|
Objective
The student makes linear and nonlinear conversions wit error estimates using matrix method
The student solves linear and nonlinear levelling (two unknowns) using programming.
Student will be familiar with the modern programs of adjusting geodetic ground control point networks.
Content
The student makes linear and nonlinear conversions wit error estimates using matrix method
The student solves linear and nonlinear levelling (two unknowns) using programming.
Adjustments that use the least square methods.
Evaluation scale
0-5
Assessment criteria, satisfactory (1)
The student is able to solve linear levelling.
Assessment criteria, good (3)
The student is able to solve nonlinear adjustment using distance or angle measurements.
Assessment criteria, excellent (5)
The student is able to solve nonlinear adjustment using distance and angle measurements.
Assessment criteria, approved/failed
The student is able to solve linear levelling.
Qualifications
Statistical mathematics and error estimates.