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_NONSTOPCampusOnline implementations (Tivi Nonstop)
- Course
- TX00EY20
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!