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

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

Groups: TVT23K-O
Ohjelmistotuotanto

Course: TX00EY20

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

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.