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Probability Calculus and Statistics (5 cr)

Code: TX00EY20-3003

General information


Timing
01.01.2025 - 31.12.2025
Implementation is running.
Number of ECTS credits allocated
5 cr
Local portion
0 cr
Virtual portion
5 cr
Mode of delivery
Online
Unit
School of ICT and Industrial Management
Campus
Karaportti 2
Teaching languages
Finnish
Seats
0 - 5000
Degree programmes
Information and Communication Technology
Teacher in charge
Janne Salonen
Groups
ATX25TV
NonStop virtual studies year 2025
Course
TX00EY20
No reservations found for implementation TX00EY20-3003!

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

Location and time

Course can be done in own space in Metropolia's Moodle environment.

Materials

Online.

Teaching methods

100% online (Self-Study) course which can be done in own space.

Employer connections

N/A

Exam schedules

Can be find in Moodle environment.

International connections

N/A

Completion alternatives

N/A

Student workload

Depends on the student's starting level.

Content scheduling

Can be find via Moodle environment.

Evaluation scale

Hyväksytty/Hylätty

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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