Probability Calculus and Statistics (5 ECTS)
Code: TX00EY20-3003
General information
- Timing
- 01.01.2025 - 31.12.2025
- Implementation is running.
- Number of ECTS credits allocated
- 5 ECTS
- Virtual portion
- 5 ECTS
- 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
Learning outcomes
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
Teaching methods
100% online (Self-Study) course which can be done in own space.
Location and time
Course can be done in own space in Metropolia's Moodle environment.
Learning materials and recommended literature
Online.
Alternative completion methods of implementation
N/A
Internship and working life connections
N/A
Exam dates and retake possibilities
Can be find in Moodle environment.
International connections
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.