Probability Calculus and Statistics (5 cr)
Code: TX00EY20-3008
General information
- Enrollment
-
02.12.2024 - 14.01.2025
Registration for the implementation has ended.
- Timing
-
13.01.2025 - 16.03.2025
Implementation has ended.
- Number of ECTS credits allocated
- 5 cr
- Mode of delivery
- On-campus
- Unit
- (2019-2024) School of ICT
- Campus
- Myllypurontie 1
- Teaching languages
- Finnish
- Seats
- 0 - 35
- Degree programmes
- Information and Communication Technology
Implementation has 16 reservations. Total duration of reservations is 48 h 0 min.
| Time | Topic | Location |
|---|---|---|
|
Mon 13.01.2025 time 13:00 - 16:00 (3 h 0 min) |
Todennäköisyyslaskenta ja tilastomatematiikka TX00EY20-3008 |
MPA5027
Oppimistila
|
|
Thu 16.01.2025 time 13:00 - 16:00 (3 h 0 min) |
Todennäköisyyslaskenta ja tilastomatematiikka TX00EY20-3008 |
MPA5027
Oppimistila
|
|
Mon 20.01.2025 time 13:00 - 16:00 (3 h 0 min) |
Todennäköisyyslaskenta ja tilastomatematiikka TX00EY20-3008 |
MPA5027
Oppimistila
|
|
Thu 23.01.2025 time 13:00 - 16:00 (3 h 0 min) |
Todennäköisyyslaskenta ja tilastomatematiikka TX00EY20-3008 |
MPA5027
Oppimistila
|
|
Mon 27.01.2025 time 13:00 - 16:00 (3 h 0 min) |
Todennäköisyyslaskenta ja tilastomatematiikka TX00EY20-3008 |
MPA5027
Oppimistila
|
|
Thu 30.01.2025 time 13:00 - 16:00 (3 h 0 min) |
Todennäköisyyslaskenta ja tilastomatematiikka TX00EY20-3008 |
MPA5027
Oppimistila
|
|
Mon 03.02.2025 time 13:00 - 16:00 (3 h 0 min) |
Todennäköisyyslaskenta ja tilastomatematiikka TX00EY20-3008 |
MPA5027
Oppimistila
|
|
Thu 06.02.2025 time 13:00 - 16:00 (3 h 0 min) |
Todennäköisyyslaskenta ja tilastomatematiikka TX00EY20-3008 |
MPA5027
Oppimistila
|
|
Mon 10.02.2025 time 13:00 - 16:00 (3 h 0 min) |
Todennäköisyyslaskenta ja tilastomatematiikka TX00EY20-3008 |
MPA5027
Oppimistila
|
|
Thu 13.02.2025 time 13:00 - 16:00 (3 h 0 min) |
Todennäköisyyslaskenta ja tilastomatematiikka TX00EY20-3008 |
MPA5027
Oppimistila
|
|
Mon 24.02.2025 time 13:00 - 16:00 (3 h 0 min) |
Todennäköisyyslaskenta ja tilastomatematiikka TX00EY20-3008 |
MPA5027
Oppimistila
|
|
Thu 27.02.2025 time 13:00 - 16:00 (3 h 0 min) |
Todennäköisyyslaskenta ja tilastomatematiikka TX00EY20-3008 |
MPA5027
Oppimistila
|
|
Mon 03.03.2025 time 13:00 - 16:00 (3 h 0 min) |
Todennäköisyyslaskenta ja tilastomatematiikka TX00EY20-3008 |
MPA5027
Oppimistila
|
|
Thu 06.03.2025 time 13:00 - 16:00 (3 h 0 min) |
Todennäköisyyslaskenta ja tilastomatematiikka TX00EY20-3008 |
MPA5027
Oppimistila
|
|
Mon 10.03.2025 time 13:00 - 16:00 (3 h 0 min) |
Todennäköisyyslaskenta ja tilastomatematiikka TX00EY20-3008 |
MPA5027
Oppimistila
|
|
Thu 13.03.2025 time 13:00 - 16:00 (3 h 0 min) |
Todennäköisyyslaskenta ja tilastomatematiikka TX00EY20-3008 |
MPA5018
Oppimistila
|
Objective
The student
• is familiar with different scales and their characteristic statistical numbers and will be able to determine them on the basis of data
• is familiar with the basics of statistical testing, knows basic concepts related to probability and is able to apply them in probability distribution.
Content
• Population and random sample
• Scales
• Statistical numbers
• Concept of probability
• Conditional probability and independence
• Discrete and continuous probability distribution
• Correlation and regression
• Statistical inference
Evaluation scale
0-5
Assessment criteria, satisfactory (1)
The student
• has achieved the objectives of the course to a satisfactory level
• is able to identify and define the concepts, models and in the subject area of the course
• has completed the learning tasks required for the course to the minimum standard.
Assessment criteria, good (3)
The student
• has achieved the objectives of the course well
• is able to identify, define and use the concepts, models and tools in the subject area of the course
• has completed the learning tasks of the course at a good level.
Assessment criteria, excellent (5)
The student
• has achieved the objectives of the course with excellent marks
• is able to identify, define and use and apply the concepts and models in the subject area of the course in a variety of ways
• has completed the learning tasks of the course at an excellent level.
Assessment criteria, approved/failed
The student
• has achieved the objectives of the course to a satisfactory level
• is able to identify and define the concepts, models and in the subject area of the course
• has completed the learning tasks required for the course to the minimum standard.
Objective
The student
• is familiar with different scales and their characteristic statistical numbers and will be able to determine them on the basis of data
• is familiar with the basics of statistical testing, knows basic concepts related to probability and is able to apply them in probability distribution.
Content
• Population and random sample
• Scales
• Statistical numbers
• Concept of probability
• Conditional probability and independence
• Discrete and continuous probability distribution
• Correlation and regression
• Statistical inference