Statistical mathematics and error estimates (5 cr)
Code: TX00BT85-3010
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 22 reservations. Total duration of reservations is 38 h 0 min.
| Time | Topic | Location |
|---|---|---|
|
Wed 31.01.2024 time 17:00 - 19:00 (2 h 0 min) |
Matematiikan loppukoe |
MPA4011
Luentosali
|
|
Wed 20.03.2024 time 09:00 - 11:00 (2 h 0 min) |
Tilastomatematiikka ja virhearviolaskenta TX00BT85-3010 |
MPA4015
Luentosali
|
|
Fri 22.03.2024 time 09:00 - 11:00 (2 h 0 min) |
Tilastomatematiikka ja virhearviolaskenta ETÄ |
|
|
Mon 25.03.2024 time 12:00 - 14:00 (2 h 0 min) |
Tilastomatematiikka ja virhearviolaskenta rB |
MPC4011
Oppimistila
|
|
Mon 25.03.2024 time 14:00 - 16:00 (2 h 0 min) |
Tilastomatematiikka ja virhearviolaskenta rA |
MPC4011
Oppimistila
|
|
Wed 03.04.2024 time 09:00 - 11:00 (2 h 0 min) |
Tilastomatematiikka ja virhearviolaskenta TX00BT85-3010 |
MPA6012
Oppimistila
|
|
Mon 08.04.2024 time 12:00 - 14:00 (2 h 0 min) |
Tilastomatematiikka ja virhearviolaskenta rB |
MPC4011
Oppimistila
|
|
Mon 08.04.2024 time 14:00 - 16:00 (2 h 0 min) |
Tilastomatematiikka ja virhearviolaskenta rA |
MPC4011
Oppimistila
|
|
Wed 10.04.2024 time 09:00 - 10:30 (1 h 30 min) |
Tilastomatematiikka ja virhearviolaskenta TX00BT85-3010 |
MPA4015
Luentosali
|
|
Mon 15.04.2024 time 12:00 - 13:30 (1 h 30 min) |
Tilastomatematiikka ja virhearviolaskenta rB |
MPC4011
Oppimistila
|
|
Mon 15.04.2024 time 14:00 - 15:30 (1 h 30 min) |
Tilastomatematiikka ja virhearviolaskenta rA |
MPC4011
Oppimistila
|
|
Tue 16.04.2024 time 11:00 - 12:30 (1 h 30 min) |
Tilastomatematiikka ja virhearviolaskenta TX00BT85-3010 |
MPA5019
Oppimistila
|
|
Fri 19.04.2024 time 09:00 - 10:30 (1 h 30 min) |
Tilastomatematiikka ja virhearviolaskenta ETÄ |
MPA4011
Luentosali
|
|
Fri 19.04.2024 time 11:00 - 12:30 (1 h 30 min) |
Teoriakoe Tilastomatematiikka ja virhearviolaskenta |
MPA4011
Luentosali
|
|
Fri 19.04.2024 time 12:30 - 13:30 (1 h 0 min) |
Teoriakoe jatkuu Tilastomatematiikka ja virhearviolaskenta |
MPA4011
Luentosali
|
|
Mon 22.04.2024 time 12:00 - 14:00 (2 h 0 min) |
Tilastomatematiikka ja virhearviolaskenta rB |
MPA5024
Oppimistila
|
|
Mon 22.04.2024 time 14:00 - 16:00 (2 h 0 min) |
Tilastomatematiikka ja virhearviolaskenta rA |
MPA5023
Oppimistila
|
|
Tue 23.04.2024 time 10:30 - 11:30 (1 h 0 min) |
Tilastomatematiikka ja virhearviolaskenta TX00BT85-3010 |
MPA5023
Oppimistila
|
|
Fri 26.04.2024 time 09:00 - 10:30 (1 h 30 min) |
Tilastomatematiikka ja virhearviolaskenta |
MPA3015
Oppimistila
|
|
Fri 26.04.2024 time 10:30 - 12:00 (1 h 30 min) |
Tilastomatematiikka ja virhearviolaskenta |
MPA3015
Oppimistila
|
|
Mon 29.04.2024 time 12:00 - 14:00 (2 h 0 min) |
Tilastomatematiikka ja virhearviolaskenta rB |
MPA5024
Oppimistila
|
|
Mon 29.04.2024 time 14:00 - 16:00 (2 h 0 min) |
Tilastomatematiikka ja virhearviolaskenta rA |
MPA5024
Oppimistila
|
Objective
The student will be familiar with normal distribution and confidence interval. The student will be able to find an estimate and an error estimate in linear and nonlinear conversion. The student knows the variance covariance matrix.
Content
The concept of probability and expectation. Estimation of probabilities by using samples. Normal probability distributions. Basic statistics (e.g. mean and standard deviation). Confidence interval and basic statistical tests (e.g. to find a systematic error). Linear and nonlinear conversion and variance covariance matrix.
Evaluation scale
0-5
Assessment criteria, satisfactory (1)
The student will be familiar with normal distribution and confidence interval. The student can find a systematic error.
Assessment criteria, good (3)
The student will be able to find an estimate and an error estimate in linear and nonlinear conversion.
Assessment criteria, excellent (5)
The student knows the variance covariance matrix and is able to use it.
Assessment criteria, approved/failed
The student will be familiar with normal distribution and confidence interval. The student can find a systematic error.
Qualifications
Mathematics for Land Surveyors I