Probability and Statistics (3 cr)
Code: TT00ES94-3033
General information
- Timing
-
01.08.2022 - 31.12.2023
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
- English
- Seats
- 0 - 1000
- Degree programmes
- Information and Communication Technology
- Teachers
- Mika Hyyryläinen
- Virve Prami
- Teacher in charge
- Janne Salonen
- Groups
-
VIOPE_NonStop7VIOPE_NonStop7
- Course
- TT00ES94
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
- Population, random sampling, scale
- Statistics
- Probability
- Independence and conditional probability
- Discrete random distributions
- Continuous random distributions
- Correlation and regression
- Statistical testing
Location and time
Because course is 100% online (Self-Study) course, study place and timetable is up to Student her-/himself.
Materials
Online
Teaching methods
100% online (Self-Study) course.
Employer connections
N/A
Exam schedules
Online
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
Course is 100% online (Sefl-Study) course and course environment is Metropolia's Viope environment.
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
- Population, random sampling, scale
- Statistics
- Probability
- Independence and conditional probability
- Discrete random distributions
- Continuous random distributions
- Correlation and regression
- Statistical testing
Further information
Course is 100% online (Sefl-Study) course and course environment is Metropolia's Viope environment.