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Probability Calculus and Statistics (5 cr)

Code: TX00EY20-3010

General information


Enrollment
19.03.2025 - 31.12.2025
Enrollment is ongoing
Enroll to the implementation in OMA
Timing
20.03.2025 - 31.12.2026
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 - 500
Degree programmes
Information and Communication Technology
Teachers
Virve Prami
Teacher in charge
Janne Salonen
Groups
CAMPUSONLINE_TIVI_NONSTOP
CampusOnline implementations (Tivi Nonstop)
Course
TX00EY20
No reservations found for implementation TX00EY20-3010!

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 in Metropolia's Moodle environment.

Teaching methods

Course is 100% online (self-study) course which can be done in own pace.

The course includes ten (10) Modules with exercises and a final exam.

Employer connections

N/A

Exam schedules

Online.

Completion alternatives

N/A

Student workload

Depends on Students starting level.

Content scheduling

The Student shall do first all of ten (10) Chapters in order and then pass the Final Exam.

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.

Assessment methods and criteria

The course evaluation is Pass/Fail.

When the student has passed all 10 modules with their exercises and the final exam.

The final exam has approx. 50 multiple choice questions and lasts 180 minutes.

The minimum passing score is 700/1000. If the score falls below that, the test must be repeated. The exam can be repeated 3 times!

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