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Probability Calculus and Statistics (5 cr)

Code: TX00EY20-3002

General information


Enrollment
06.05.2024 - 18.08.2024
Registration for the implementation has ended.
Timing
19.08.2024 - 13.10.2024
Implementation has ended.
Number of ECTS credits allocated
5 cr
Local portion
5 cr
Mode of delivery
On-campus
Unit
(2019-2024) School of ICT
Campus
Myllypurontie 1
Teaching languages
Finnish
Seats
0 - 35
Degree programmes
Information and Communication Technology
Teachers
Mikko Pere
Course
TX00EY20

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

Time Topic Location
Mon 19.08.2024 time 13:00 - 16:00
(3 h 0 min)
Todennäköisyyslaskenta ja tilastomatematiikka TX00EY20-3002
MPA5027 Oppimistila
Tue 20.08.2024 time 09:00 - 12:00
(3 h 0 min)
Todennäköisyyslaskenta ja tilastomatematiikka TX00EY20-3002
MPA5027 Oppimistila
Mon 26.08.2024 time 13:00 - 16:00
(3 h 0 min)
Todennäköisyyslaskenta ja tilastomatematiikka TX00EY20-3002
MPA5027 Oppimistila
Tue 27.08.2024 time 09:00 - 12:00
(3 h 0 min)
Todennäköisyyslaskenta ja tilastomatematiikka TX00EY20-3002
MPA5027 Oppimistila
Mon 02.09.2024 time 13:00 - 16:00
(3 h 0 min)
Todennäköisyyslaskenta ja tilastomatematiikka TX00EY20-3002
MPA5027 Oppimistila
Tue 03.09.2024 time 09:00 - 12:00
(3 h 0 min)
Todennäköisyyslaskenta ja tilastomatematiikka TX00EY20-3002
MPA5027 Oppimistila
Mon 09.09.2024 time 13:00 - 16:00
(3 h 0 min)
Todennäköisyyslaskenta ja tilastomatematiikka TX00EY20-3002
MPA5027 Oppimistila
Tue 10.09.2024 time 09:00 - 12:00
(3 h 0 min)
Todennäköisyyslaskenta ja tilastomatematiikka TX00EY20-3002
MPA5027 Oppimistila
Mon 16.09.2024 time 13:00 - 16:00
(3 h 0 min)
Todennäköisyyslaskenta ja tilastomatematiikka TX00EY20-3002
MPA5027 Oppimistila
Tue 17.09.2024 time 09:00 - 12:00
(3 h 0 min)
Todennäköisyyslaskenta ja tilastomatematiikka TX00EY20-3002
MPA5027 Oppimistila
Mon 23.09.2024 time 13:00 - 16:00
(3 h 0 min)
Todennäköisyyslaskenta ja tilastomatematiikka TX00EY20-3002
MPA5027 Oppimistila
Tue 24.09.2024 time 09:00 - 12:00
(3 h 0 min)
Todennäköisyyslaskenta ja tilastomatematiikka TX00EY20-3002
MPA5027 Oppimistila
Mon 30.09.2024 time 13:00 - 16:00
(3 h 0 min)
Todennäköisyyslaskenta ja tilastomatematiikka TX00EY20-3002
MPA5027 Oppimistila
Tue 01.10.2024 time 09:00 - 12:00
(3 h 0 min)
Todennäköisyyslaskenta ja tilastomatematiikka TX00EY20-3002
MPA5027 Oppimistila
Mon 07.10.2024 time 13:00 - 16:00
(3 h 0 min)
Todennäköisyyslaskenta ja tilastomatematiikka TX00EY20-3002
MPA5027 Oppimistila
Tue 08.10.2024 time 09:00 - 12:00
(3 h 0 min)
Todennäköisyyslaskenta ja tilastomatematiikka TX00EY20-3002
MPA5019 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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