Probability Calculus and Statistics (5 ECTS)
Code: TX00EY20-3005
General information
- Enrollment
-
05.05.2025 - 17.08.2025
Enrollment is ongoing
Enroll to the implementation in OMA
- Timing
-
20.10.2025 - 14.12.2025
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
- English
- Seats
- 0 - 35
- Degree programmes
- Degree Programme in Information Technology
- Teachers
- Mikko Pere
- Groups
-
ICT23-SWSoftware Engineering
-
tivivaihto_s25Tivi-vaihto, syksy 2025
- Course
- TX00EY20
Implementation has 16 reservations. Total duration of reservations is 48 h 0 min.
Time | Topic | Location |
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Wed 22.10.2025 time 09:00 - 12:00 (3 h 0 min) |
Probability Calculus and Statistics TX00EY20-3005 |
MPA5015
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Thu 23.10.2025 time 09:00 - 12:00 (3 h 0 min) |
Probability Calculus and Statistics TX00EY20-3005 |
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Wed 29.10.2025 time 09:00 - 12:00 (3 h 0 min) |
Probability Calculus and Statistics TX00EY20-3005 |
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Thu 30.10.2025 time 09:00 - 12:00 (3 h 0 min) |
Probability Calculus and Statistics TX00EY20-3005 |
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Wed 05.11.2025 time 09:00 - 12:00 (3 h 0 min) |
Probability Calculus and Statistics TX00EY20-3005 |
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Thu 06.11.2025 time 09:00 - 12:00 (3 h 0 min) |
Probability Calculus and Statistics TX00EY20-3005 |
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Wed 12.11.2025 time 09:00 - 12:00 (3 h 0 min) |
Probability Calculus and Statistics TX00EY20-3005 |
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Thu 13.11.2025 time 09:00 - 12:00 (3 h 0 min) |
Probability Calculus and Statistics TX00EY20-3005 |
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Wed 19.11.2025 time 09:00 - 12:00 (3 h 0 min) |
Probability Calculus and Statistics TX00EY20-3005 |
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Thu 20.11.2025 time 09:00 - 12:00 (3 h 0 min) |
Probability Calculus and Statistics TX00EY20-3005 |
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Wed 26.11.2025 time 09:00 - 12:00 (3 h 0 min) |
Probability Calculus and Statistics TX00EY20-3005 |
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Thu 27.11.2025 time 09:00 - 12:00 (3 h 0 min) |
Probability Calculus and Statistics TX00EY20-3005 |
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Wed 03.12.2025 time 09:00 - 12:00 (3 h 0 min) |
Probability Calculus and Statistics TX00EY20-3005 |
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Thu 04.12.2025 time 09:00 - 12:00 (3 h 0 min) |
Probability Calculus and Statistics TX00EY20-3005 |
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Wed 10.12.2025 time 09:00 - 12:00 (3 h 0 min) |
Probability Calculus and Statistics TX00EY20-3005 |
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Thu 11.12.2025 time 09:00 - 12:00 (3 h 0 min) |
Probability Calculus and Statistics TX00EY20-3005 |
MPA5015
Oppimistila
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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.