Probability and Statistics (3 cr)
Code: TT00EM35-3019
General information
- Enrollment
-
07.07.2022
Registration for the implementation has ended.
- Timing
-
01.08.2024 - 17.10.2024
Implementation has ended.
- Number of ECTS credits allocated
- 3 cr
- Virtual portion
- 3 cr
- Mode of delivery
- Online
- Unit
- (2019-2024) School of ICT
- Campus
- Karaportti 2
- Teaching languages
- Finnish
- Seats
- 0 - 5000
- Degree programmes
- Information and Communication Technology
- Teachers
- Mika Hyyryläinen
- Virve Prami
- Teacher in charge
- Janne Salonen
- Groups
-
hakijan_työpöydältä_poistetut_toteutuksetImplementation which has been removed from hakijan työpöytä
- Course
- TT00EM35
Objective
After completion of this course the student understands how hard it is to know anything with certainty. The student is able to identify a question or problem in the field of probability and statistics, collect relevant data, analyse it and form a conclusion based on the analysis.
Content
- Probability and statistics
- Discrete mathematics
Location and time
Because course is 100% online (Self-Study) course, study place and timetable is up to Student her-/himself.
Materials
Can be find on study environment.
Teaching methods
100% online (Self-Study) course.
Employer connections
N/A
Exam schedules
Can be find on study environment.
International connections
N/A
Completion alternatives
N/A
Student workload
Up to Student her-/himself.
Content scheduling
Up to Student her-/himself.
Evaluation scale
Hyväksytty/Hylätty
Assessment criteria, approved/failed
To get credits, Student have to do at least 80% of course.
Assessment methods and criteria
When you have done at least 80% of tasks, please send email to viopesupport@metropolia.fi.
Further information
100% online (Self-Study) course.
Objective
After completion of this course the student understands how hard it is to know anything with certainty. The student is able to identify a question or problem in the field of probability and statistics, collect relevant data, analyse it and form a conclusion based on the analysis.
Content
- Probability and statistics
- Discrete mathematics
Further information
100% online (Self-Study) course.