Probability and StatisticsLaajuus (3 cr)
Code: TT00ES94
Credits
3 op
Teaching language
- English
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
Assessment criteria, approved/failed
To get credits, Student have to do at least 80% of course.
Further information
Course is 100% online (Sefl-Study) course and course environment is Metropolia's Viope environment.
Enrollment
02.07.2024 - 31.07.2024
Timing
01.08.2024 - 31.07.2025
Number of ECTS credits allocated
3 op
Virtual portion
3 op
Mode of delivery
Distance learning
Teaching languages
- English
Degree programmes
- Information and Communication Technology
Teachers
- Janne Salonen
Groups
-
VIOPE_NonStop7VIOPE_NonStop7
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
Evaluation scale
Hyväksytty/Hylätty
Assessment criteria, approved/failed
To get credits, Student have to do at least 80% of course.
Further information
Course is 100% online (Sefl-Study) course and course environment is Metropolia's Viope environment.
Timing
16.04.2024 - 31.12.2025
Number of ECTS credits allocated
3 op
Virtual portion
3 op
Mode of delivery
Distance learning
Unit
School of ICT
Campus
Karaportti 2
Teaching languages
- English
Seats
0 - 5000
Degree programmes
- Information and Communication Technology
Teachers
- Virve Prami
Teacher in charge
Janne Salonen
Groups
-
VIOPE_2025_MAKSULLINEN_JARJESTELMAOpen UAS 2025
-
VIOPE_2024_MAKSULLINEN_JARJESTELMAViope TiVi (NonStop), year 2024
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.
Timing
01.01.2024 - 31.12.2027
Number of ECTS credits allocated
3 op
Virtual portion
3 op
Mode of delivery
Distance learning
Unit
School of ICT
Campus
Karaportti 2
Teaching languages
- English
Seats
0 - 10000
Degree programmes
- Degree Programme in Information Technology
Teachers
- Mika Hyyryläinen
Groups
-
IT_path_180_ectsInformation Technology, Open path 180 ECTS
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.
Further information
ENROLLING
Open UAS and CampusOnline Student via https://hakija.oma.metropolia.fi/
Metropolia's Degree Student: https://vw4.viope.com/login?org=metropolia
- Register to system -> Click the link “Enroll on the course”
- Choose any course of (NonStop).
- Fill the others fields
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.
Timing
01.01.2024 - 31.07.2025
Number of ECTS credits allocated
3 op
Virtual portion
3 op
Mode of delivery
Distance learning
Unit
School of ICT
Campus
Karaportti 2
Teaching languages
- English
Seats
0 - 5000
Degree programmes
- Information and Communication Technology
Teachers
- Mika Hyyryläinen
- Virve Prami
Teacher in charge
Janne Salonen
Groups
-
VIOPE_2024_MAKSULLINEN_JARJESTELMAViope TiVi (NonStop), year 2024
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.
Enrollment
02.07.2024 - 31.07.2024
Timing
01.01.2024 - 31.07.2024
Number of ECTS credits allocated
3 op
Virtual portion
3 op
Mode of delivery
Distance learning
Teaching languages
- English
Degree programmes
- Information and Communication Technology
Teachers
- Janne Salonen
Groups
-
VIOPE_NonStop6VIOPE_NonStop6
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
Evaluation scale
Hyväksytty/Hylätty
Assessment criteria, approved/failed
To get credits, Student have to do at least 80% of course.
Further information
Course is 100% online (Sefl-Study) course and course environment is Metropolia's Viope environment.
Enrollment
02.07.2024 - 31.07.2024
Timing
01.01.2024 - 31.07.2024
Number of ECTS credits allocated
3 op
Virtual portion
3 op
Mode of delivery
Distance learning
Teaching languages
- English
Degree programmes
- Information and Communication Technology
Teachers
- Janne Salonen
Groups
-
Viope_nonstop_9Viope_nonstop_9
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
Evaluation scale
Hyväksytty/Hylätty
Assessment criteria, approved/failed
To get credits, Student have to do at least 80% of course.
Further information
Course is 100% online (Sefl-Study) course and course environment is Metropolia's Viope environment.
Enrollment
02.07.2024 - 31.07.2024
Timing
01.01.2024 - 31.07.2024
Number of ECTS credits allocated
3 op
Virtual portion
3 op
Mode of delivery
Distance learning
Unit
School of ICT
Teaching languages
- English
Degree programmes
- Information and Communication Technology
Teachers
- Janne Salonen
Teacher in charge
Janne Salonen
Groups
-
Viope_nonstop_11Viope_nonstop_11
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
Evaluation scale
Hyväksytty/Hylätty
Assessment criteria, approved/failed
To get credits, Student have to do at least 80% of course.
Further information
Course is 100% online (Sefl-Study) course and course environment is Metropolia's Viope environment.
Enrollment
02.07.2024 - 31.07.2024
Timing
01.01.2024 - 31.07.2024
Number of ECTS credits allocated
3 op
Virtual portion
3 op
Mode of delivery
Distance learning
Unit
School of ICT
Campus
Karaportti 2
Teaching languages
- English
Degree programmes
- Information and Communication Technology
Teachers
- Janne Salonen
Teacher in charge
Janne Salonen
Groups
-
Viope_nonstop_12Viope_nonstop_12
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
Evaluation scale
Hyväksytty/Hylätty
Assessment criteria, approved/failed
To get credits, Student have to do at least 80% of course.
Further information
Course is 100% online (Sefl-Study) course and course environment is Metropolia's Viope environment.
Enrollment
02.07.2024 - 31.07.2024
Timing
01.01.2024 - 31.07.2024
Number of ECTS credits allocated
3 op
Virtual portion
3 op
Mode of delivery
Distance learning
Unit
School of ICT
Campus
Karaportti 2
Teaching languages
- English
Degree programmes
- Information and Communication Technology
Teachers
- Janne Salonen
Teacher in charge
Janne Salonen
Groups
-
Viope_nonstop_13Viope_nonstop_13
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
Evaluation scale
Hyväksytty/Hylätty
Assessment criteria, approved/failed
To get credits, Student have to do at least 80% of course.
Further information
Course is 100% online (Sefl-Study) course and course environment is Metropolia's Viope environment.
Enrollment
02.07.2023 - 31.07.2023
Timing
01.08.2023 - 31.07.2024
Number of ECTS credits allocated
3 op
Virtual portion
3 op
Mode of delivery
Distance learning
Teaching languages
- English
Degree programmes
- Information and Communication Technology
Teachers
- Janne Salonen
Teacher in charge
Janne Salonen
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
Evaluation scale
Hyväksytty/Hylätty
Assessment criteria, approved/failed
To get credits, Student have to do at least 80% of course.
Further information
Course is 100% online (Sefl-Study) course and course environment is Metropolia's Viope environment.
Timing
31.12.2022
Number of ECTS credits allocated
3 op
Virtual portion
3 op
Mode of delivery
Distance learning
Unit
School of ICT
Campus
Karaportti 2
Teaching languages
- English
Seats
0 - 1000
Degree programmes
- Information and Communication Technology
Teachers
- Mika Hyyryläinen
Groups
-
VIOPE_NonStop3VIOPE_NonStop3
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.
Further information
ENROLLING
Open UAS Student via https://hakija.oma.metropolia.fi/
CampusOnline Students via eform which can be find via https://campusonline.fi
Metropolia's Degree Student
- Go to https://vw4.viope.com/login?org=metropolia
- Register to system -> Click the link “Enroll on the course”
- Choose any course of (NonStop).
- Fill the others fields
If you have problems with enrolling into this course or questions about it, please contact to viopesupport@metropolia.fi
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.
Timing
31.12.2022
Number of ECTS credits allocated
3 op
Virtual portion
3 op
Mode of delivery
Distance learning
Unit
School of ICT
Campus
Karaportti 2
Teaching languages
- English
Seats
0 - 1000
Degree programmes
- Degree Programme in Information Technology
Teachers
- Mika Hyyryläinen
Groups
-
VIOPE_NonStop3VIOPE_NonStop3
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.
Further information
ENROLLING
Open UAS and CampusOnline Student via https://hakija.oma.metropolia.fi/
Metropolia's Degree Student: https://vw4.viope.com/login?org=metropolia
- Register to system -> Click the link “Enroll on the course”
- Choose any course of (NonStop).
- Fill the others fields
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.
Timing
31.12.2022
Number of ECTS credits allocated
3 op
Virtual portion
3 op
Mode of delivery
Distance learning
Unit
School of ICT
Campus
Karaportti 2
Teaching languages
- English
Seats
0 - 1000
Degree programmes
- Information and Communication Technology
Teachers
- Mika Hyyryläinen
Groups
-
VIOPE_NonStop4VIOPE_NonStop4
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.
Further information
ENROLLING
Open UAS Student via https://hakija.oma.metropolia.fi/
CampusOnline Students via eform which can be find via https://campusonline.fi
Metropolia's Degree Student
- Go to https://vw4.viope.com/login?org=metropolia
- Register to system -> Click the link “Enroll on the course”
- Choose any course of (NonStop).
- Fill the others fields
If you have problems with enrolling into this course or questions about it, please contact to viopesupport@metropolia.fi
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.
Timing
31.12.2022
Number of ECTS credits allocated
3 op
Virtual portion
3 op
Mode of delivery
Distance learning
Unit
School of ICT
Campus
Karaportti 2
Teaching languages
- English
Seats
0 - 1000
Degree programmes
- Information and Communication Technology
Teachers
- Mika Hyyryläinen
Groups
-
VIOPE_NonStop4VIOPE_NonStop4
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.
Further information
ENROLLING
Open UAS Student via https://hakija.oma.metropolia.fi/
CampusOnline Students via eform which can be find via https://campusonline.fi
Metropolia's Degree Student
- Go to https://vw4.viope.com/login?org=metropolia
- Register to system -> Click the link “Enroll on the course”
- Choose any course of (NonStop).
- Fill the others fields
If you have problems with enrolling into this course or questions about it, please contact to viopesupport@metropolia.fi
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.
Timing
31.12.2022
Number of ECTS credits allocated
3 op
Virtual portion
3 op
Mode of delivery
Distance learning
Unit
School of ICT
Campus
Karaportti 2
Teaching languages
- English
Seats
0 - 1000
Degree programmes
- Degree Programme in Information Technology
Teachers
- Mika Hyyryläinen
Groups
-
VIOPE_NonStop4VIOPE_NonStop4
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.
Further information
ENROLLING
Open UAS and CampusOnline Student via https://hakija.oma.metropolia.fi/
Metropolia's Degree Student: https://vw4.viope.com/login?org=metropolia
- Register to system -> Click the link “Enroll on the course”
- Choose any course of (NonStop).
- Fill the others fields
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.
Timing
31.12.2022
Number of ECTS credits allocated
3 op
Virtual portion
3 op
Mode of delivery
Distance learning
Unit
School of ICT
Campus
Karaportti 2
Teaching languages
- English
Seats
0 - 1000
Degree programmes
- Information and Communication Technology
Teachers
- Mika Hyyryläinen
Groups
-
VIOPE_NonStop5VIOPE_NonStop5
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.
Further information
ENROLLING
Open UAS Student via https://hakija.oma.metropolia.fi/
CampusOnline Students via eform which can be find via https://campusonline.fi
Metropolia's Degree Student
- Go to https://vw4.viope.com/login?org=metropolia
- Register to system -> Click the link “Enroll on the course”
- Choose any course of (NonStop).
- Fill the others fields
If you have problems with enrolling into this course or questions about it, please contact to viopesupport@metropolia.fi
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.
Timing
31.12.2022
Number of ECTS credits allocated
3 op
Virtual portion
3 op
Mode of delivery
Distance learning
Unit
School of ICT
Campus
Karaportti 2
Teaching languages
- English
Seats
0 - 1000
Degree programmes
- Degree Programme in Information Technology
Teachers
- Mika Hyyryläinen
Groups
-
VIOPE_NonStop5VIOPE_NonStop5
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.
Further information
ENROLLING
Open UAS and CampusOnline Student via https://hakija.oma.metropolia.fi/
Metropolia's Degree Student: https://vw4.viope.com/login?org=metropolia
- Register to system -> Click the link “Enroll on the course”
- Choose any course of (NonStop).
- Fill the others fields
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.
Timing
30.12.2022 - 31.12.2022
Number of ECTS credits allocated
3 op
Virtual portion
3 op
Mode of delivery
Distance learning
Unit
School of ICT
Campus
Karaportti 2
Teaching languages
- English
Seats
0 - 1000
Degree programmes
- Information and Communication Technology
Teachers
- Mika Hyyryläinen
Groups
-
VIOPE_NonStop3VIOPE_NonStop3
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.
Further information
ENROLLING
Open UAS Student via https://hakija.oma.metropolia.fi/
CampusOnline Students via eform which can be find via https://campusonline.fi
Metropolia's Degree Student
- Go to https://vw4.viope.com/login?org=metropolia
- Register to system -> Click the link “Enroll on the course”
- Choose any course of (NonStop).
- Fill the others fields
If you have problems with enrolling into this course or questions about it, please contact to viopesupport@metropolia.fi
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.
Timing
30.12.2022 - 31.12.2022
Number of ECTS credits allocated
3 op
Virtual portion
3 op
Mode of delivery
Distance learning
Unit
School of ICT
Campus
Karaportti 2
Teaching languages
- English
Seats
0 - 1000
Degree programmes
- Information and Communication Technology
Teachers
- Mika Hyyryläinen
Groups
-
VIOPE_NonStop4VIOPE_NonStop4
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.
Further information
ENROLLING
Open UAS Student via https://hakija.oma.metropolia.fi/
CampusOnline Students via eform which can be find via https://campusonline.fi
Metropolia's Degree Student
- Go to https://vw4.viope.com/login?org=metropolia
- Register to system -> Click the link “Enroll on the course”
- Choose any course of (NonStop).
- Fill the others fields
If you have problems with enrolling into this course or questions about it, please contact to viopesupport@metropolia.fi
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.
Timing
30.12.2022 - 31.12.2022
Number of ECTS credits allocated
3 op
Virtual portion
3 op
Mode of delivery
Distance learning
Unit
School of ICT
Campus
Karaportti 2
Teaching languages
- English
Seats
0 - 1000
Degree programmes
- Information and Communication Technology
Teachers
- Mika Hyyryläinen
Groups
-
VIOPE_NonStop4VIOPE_NonStop4
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.
Further information
ENROLLING
Open UAS Student via https://hakija.oma.metropolia.fi/
CampusOnline Students via eform which can be find via https://campusonline.fi
Metropolia's Degree Student
- Go to https://vw4.viope.com/login?org=metropolia
- Register to system -> Click the link “Enroll on the course”
- Choose any course of (NonStop).
- Fill the others fields
If you have problems with enrolling into this course or questions about it, please contact to viopesupport@metropolia.fi
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.
Timing
30.12.2022 - 31.12.2022
Number of ECTS credits allocated
3 op
Virtual portion
3 op
Mode of delivery
Distance learning
Unit
School of ICT
Campus
Karaportti 2
Teaching languages
- English
Seats
0 - 1000
Degree programmes
- Information and Communication Technology
Teachers
- Mika Hyyryläinen
Groups
-
VIOPE_NonStop5VIOPE_NonStop5
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.
Further information
ENROLLING
Open UAS Student via https://hakija.oma.metropolia.fi/
CampusOnline Students via eform which can be find via https://campusonline.fi
Metropolia's Degree Student
- Go to https://vw4.viope.com/login?org=metropolia
- Register to system -> Click the link “Enroll on the course”
- Choose any course of (NonStop).
- Fill the others fields
If you have problems with enrolling into this course or questions about it, please contact to viopesupport@metropolia.fi
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.
Timing
01.08.2022 - 31.12.2023
Number of ECTS credits allocated
3 op
Virtual portion
3 op
Mode of delivery
Distance learning
Unit
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
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.
Timing
01.08.2022 - 31.12.2023
Number of ECTS credits allocated
3 op
Virtual portion
3 op
Mode of delivery
Distance learning
Unit
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
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.
Timing
01.08.2022 - 31.12.2023
Number of ECTS credits allocated
3 op
Virtual portion
3 op
Mode of delivery
Distance learning
Unit
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
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.
Timing
01.08.2022 - 31.12.2023
Number of ECTS credits allocated
3 op
Virtual portion
3 op
Mode of delivery
Distance learning
Unit
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
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.
Timing
01.08.2022 - 31.12.2023
Number of ECTS credits allocated
3 op
Virtual portion
3 op
Mode of delivery
Distance learning
Unit
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
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.
Timing
01.08.2022 - 31.12.2023
Number of ECTS credits allocated
3 op
Virtual portion
3 op
Mode of delivery
Distance learning
Unit
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
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.
Timing
31.07.2022 - 31.12.2022
Number of ECTS credits allocated
3 op
Virtual portion
3 op
Mode of delivery
Distance learning
Unit
School of ICT
Campus
Karaportti 2
Teaching languages
- English
Seats
0 - 1000
Degree programmes
- Information and Communication Technology
Teachers
- Mika Hyyryläinen
Groups
-
VIOPE_NonStop3VIOPE_NonStop3
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.
Further information
ENROLLING
Open UAS Student via https://hakija.oma.metropolia.fi/
CampusOnline Students via eform which can be find via https://campusonline.fi
Metropolia's Degree Student
- Go to https://vw4.viope.com/login?org=metropolia
- Register to system -> Click the link “Enroll on the course”
- Choose any course of (NonStop).
- Fill the others fields
If you have problems with enrolling into this course or questions about it, please contact to viopesupport@metropolia.fi
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.
Timing
01.01.2022 - 31.12.2022
Number of ECTS credits allocated
3 op
Virtual portion
3 op
Mode of delivery
Distance learning
Unit
School of ICT
Campus
Karaportti 2
Teaching languages
- English
Seats
0 - 1000
Degree programmes
- Information and Communication Technology
Teachers
- Mika Hyyryläinen
Groups
-
VIOPE_NonStopViope (NonStop)
-
VIOPE_2022_MAKSULLINEN_JÄRJESTELMÄViope TiVi (NonStop), year
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.
Further information
ENROLLING
Open UAS and CampusOnline Student via https://hakija.oma.metropolia.fi/
Metropolia's Degree Student: https://vw4.viope.com/login?org=metropolia
- Register to system -> Click the link “Enroll on the course”
- Choose any course of (NonStop).
- Fill the others fields
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.
Timing
31.12.2021 - 06.08.2022
Number of ECTS credits allocated
3 op
Virtual portion
3 op
Mode of delivery
Distance learning
Unit
School of ICT
Campus
Karaportti 2
Teaching languages
- English
Seats
0 - 1000
Degree programmes
- Information and Communication Technology
Teachers
- Mika Hyyryläinen
Groups
-
ATX22TVKOpe UAS: NonStop Spring 2022
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.
Further information
ENROLLING
Open UAS and CampusOnline Student via https://hakija.oma.metropolia.fi/
Metropolia's Degree Student: https://vw4.viope.com/login?org=metropolia
- Register to system -> Click the link “Enroll on the course”
- Choose any course of (NonStop).
- Fill the others fields
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.
Timing
15.03.2021 - 31.12.2023
Number of ECTS credits allocated
3 op
Virtual portion
3 op
Mode of delivery
Distance learning
Unit
School of ICT
Campus
Karaportti 2
Teaching languages
- English
Seats
0 - 500
Degree programmes
- Information and Communication Technology
Teacher in charge
Janne Salonen
Groups
-
CareerBoost_TXK_21Career Boost 21 (Tivi)
-
CareerBoost_TXK_22Career Boost 22 (TiVi)
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.