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Probability Calculus and Statistics (5 ECTS)

Code: TX00EY20-3009

General information


Enrollment
05.05.2025 - 17.08.2025
Enrollment is ongoing
Enroll to the implementation in OMA
Timing
18.08.2025 - 19.10.2025
The implementation has not yet started.
Number of ECTS credits allocated
5 ECTS
Mode of delivery
On-campus
Unit
School of ICT and Industrial Management
Campus
Myllypurontie 1
Teaching languages
Finnish
Seats
0 - 35
Degree programmes
Information and Communication Technology
Teachers
Mikko Pere
Groups
TVT23-O
Ohjelmistotuotanto
Course
TX00EY20

Implementation has 16 reservations. Total duration of reservations is 48 h 0 min.

Time Topic Location
Mon 18.08.2025 time 13:00 - 16:00
(3 h 0 min)
Todennäköisyyslaskenta ja tilastomatematiikka TX00EY20-3009
MPA5023 Oppimistila
Tue 19.08.2025 time 13:00 - 16:00
(3 h 0 min)
Todennäköisyyslaskenta ja tilastomatematiikka TX00EY20-3009
MPA5023 Oppimistila
Mon 25.08.2025 time 13:00 - 16:00
(3 h 0 min)
Todennäköisyyslaskenta ja tilastomatematiikka TX00EY20-3009
MPA5023 Oppimistila
Tue 26.08.2025 time 13:00 - 16:00
(3 h 0 min)
Todennäköisyyslaskenta ja tilastomatematiikka TX00EY20-3009
MPA5023 Oppimistila
Mon 01.09.2025 time 13:00 - 16:00
(3 h 0 min)
Todennäköisyyslaskenta ja tilastomatematiikka TX00EY20-3009
MPA5023 Oppimistila
Tue 02.09.2025 time 13:00 - 16:00
(3 h 0 min)
Todennäköisyyslaskenta ja tilastomatematiikka TX00EY20-3009
MPA5023 Oppimistila
Mon 08.09.2025 time 13:00 - 16:00
(3 h 0 min)
Todennäköisyyslaskenta ja tilastomatematiikka TX00EY20-3009
MPA5023 Oppimistila
Tue 09.09.2025 time 13:00 - 16:00
(3 h 0 min)
Todennäköisyyslaskenta ja tilastomatematiikka TX00EY20-3009
MPA5023 Oppimistila
Mon 15.09.2025 time 13:00 - 16:00
(3 h 0 min)
Todennäköisyyslaskenta ja tilastomatematiikka TX00EY20-3009
MPA5023 Oppimistila
Tue 16.09.2025 time 13:00 - 16:00
(3 h 0 min)
Todennäköisyyslaskenta ja tilastomatematiikka TX00EY20-3009
MPA5023 Oppimistila
Mon 22.09.2025 time 13:00 - 16:00
(3 h 0 min)
Todennäköisyyslaskenta ja tilastomatematiikka TX00EY20-3009
MPA5023 Oppimistila
Tue 23.09.2025 time 13:00 - 16:00
(3 h 0 min)
Todennäköisyyslaskenta ja tilastomatematiikka TX00EY20-3009
MPA5023 Oppimistila
Mon 29.09.2025 time 13:00 - 16:00
(3 h 0 min)
Todennäköisyyslaskenta ja tilastomatematiikka TX00EY20-3009
MPA5023 Oppimistila
Tue 30.09.2025 time 13:00 - 16:00
(3 h 0 min)
Todennäköisyyslaskenta ja tilastomatematiikka TX00EY20-3009
MPA5023 Oppimistila
Mon 06.10.2025 time 13:00 - 16:00
(3 h 0 min)
Todennäköisyyslaskenta ja tilastomatematiikka TX00EY20-3009
MPA5023 Oppimistila
Tue 07.10.2025 time 13:00 - 16:00
(3 h 0 min)
Todennäköisyyslaskenta ja tilastomatematiikka TX00EY20-3009
MPA5023 Oppimistila
Changes to reservations may be possible.

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.

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