Engineering Mathematics 2Laajuus (5 cr)
Code: TT00FC39
Credits
5 op
Teaching language
- English
Objective
Vectors and matrices
Special matrices, matrix descriptions
Inverse of a matrix
Linear group of equations
Eigenvalues diagonalization
Fourier transformation
Laplace transformation
Z- transformation
Content
Vectors and matrices
Special matrices, matrix descriptions
Inverse of a matrix
Linear group of equations
Eigenvalues diagonalization
Fourier transformation
Laplace transformation
Z- transformation
Assessment criteria, approved/failed
Pass/Fail. When you have done at least 80% of tasks.
Enrollment
02.07.2024 - 31.07.2024
Timing
01.08.2024 - 31.07.2025
Number of ECTS credits allocated
5 op
Virtual portion
5 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_NonStop7VIOPE_NonStop7
Objective
Vectors and matrices
Special matrices, matrix descriptions
Inverse of a matrix
Linear group of equations
Eigenvalues diagonalization
Fourier transformation
Laplace transformation
Z- transformation
Content
Vectors and matrices
Special matrices, matrix descriptions
Inverse of a matrix
Linear group of equations
Eigenvalues diagonalization
Fourier transformation
Laplace transformation
Z- transformation
Evaluation scale
Hyväksytty/Hylätty
Assessment criteria, approved/failed
Pass/Fail. When you have done at least 80% of tasks.
Timing
16.04.2024 - 31.12.2025
Number of ECTS credits allocated
5 op
Virtual portion
5 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
Vectors and matrices
Special matrices, matrix descriptions
Inverse of a matrix
Linear group of equations
Eigenvalues diagonalization
Fourier transformation
Laplace transformation
Z- transformation
Content
Vectors and matrices
Special matrices, matrix descriptions
Inverse of a matrix
Linear group of equations
Eigenvalues diagonalization
Fourier transformation
Laplace transformation
Z- transformation
Location and time
Online. Course can be done in own pace.
Materials
N/A
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
Pass/Fail. When you have done at least 80% of tasks.
Assessment methods and criteria
Pass after student has done at least 80% of course.
Timing
01.01.2024 - 31.07.2025
Number of ECTS credits allocated
5 op
Virtual portion
5 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
Vectors and matrices
Special matrices, matrix descriptions
Inverse of a matrix
Linear group of equations
Eigenvalues diagonalization
Fourier transformation
Laplace transformation
Z- transformation
Content
Vectors and matrices
Special matrices, matrix descriptions
Inverse of a matrix
Linear group of equations
Eigenvalues diagonalization
Fourier transformation
Laplace transformation
Z- transformation
Location and time
Online. Course can be done in own pace.
Materials
N/A
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
Pass/Fail. When you have done at least 80% of tasks.
Assessment methods and criteria
Pass after student has done at least 80% of course.
Timing
01.01.2024 - 31.07.2024
Number of ECTS credits allocated
5 op
Virtual portion
5 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_9Viope_nonstop_9
Objective
Vectors and matrices
Special matrices, matrix descriptions
Inverse of a matrix
Linear group of equations
Eigenvalues diagonalization
Fourier transformation
Laplace transformation
Z- transformation
Content
Vectors and matrices
Special matrices, matrix descriptions
Inverse of a matrix
Linear group of equations
Eigenvalues diagonalization
Fourier transformation
Laplace transformation
Z- transformation
Evaluation scale
Hyväksytty/Hylätty
Assessment criteria, approved/failed
Pass/Fail. When you have done at least 80% of tasks.
Timing
01.01.2024 - 31.07.2024
Number of ECTS credits allocated
5 op
Virtual portion
5 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_11Viope_nonstop_11
Objective
Vectors and matrices
Special matrices, matrix descriptions
Inverse of a matrix
Linear group of equations
Eigenvalues diagonalization
Fourier transformation
Laplace transformation
Z- transformation
Content
Vectors and matrices
Special matrices, matrix descriptions
Inverse of a matrix
Linear group of equations
Eigenvalues diagonalization
Fourier transformation
Laplace transformation
Z- transformation
Evaluation scale
Hyväksytty/Hylätty
Assessment criteria, approved/failed
Pass/Fail. When you have done at least 80% of tasks.
Timing
01.01.2024 - 31.07.2024
Number of ECTS credits allocated
5 op
Virtual portion
5 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
Vectors and matrices
Special matrices, matrix descriptions
Inverse of a matrix
Linear group of equations
Eigenvalues diagonalization
Fourier transformation
Laplace transformation
Z- transformation
Content
Vectors and matrices
Special matrices, matrix descriptions
Inverse of a matrix
Linear group of equations
Eigenvalues diagonalization
Fourier transformation
Laplace transformation
Z- transformation
Evaluation scale
Hyväksytty/Hylätty
Assessment criteria, approved/failed
Pass/Fail. When you have done at least 80% of tasks.
Timing
01.01.2024 - 31.07.2024
Number of ECTS credits allocated
5 op
Virtual portion
5 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
Vectors and matrices
Special matrices, matrix descriptions
Inverse of a matrix
Linear group of equations
Eigenvalues diagonalization
Fourier transformation
Laplace transformation
Z- transformation
Content
Vectors and matrices
Special matrices, matrix descriptions
Inverse of a matrix
Linear group of equations
Eigenvalues diagonalization
Fourier transformation
Laplace transformation
Z- transformation
Evaluation scale
Hyväksytty/Hylätty
Assessment criteria, approved/failed
Pass/Fail. When you have done at least 80% of tasks.
Timing
01.01.2024 - 31.07.2024
Number of ECTS credits allocated
5 op
Virtual portion
5 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_NonStop6VIOPE_NonStop6
Objective
Vectors and matrices
Special matrices, matrix descriptions
Inverse of a matrix
Linear group of equations
Eigenvalues diagonalization
Fourier transformation
Laplace transformation
Z- transformation
Content
Vectors and matrices
Special matrices, matrix descriptions
Inverse of a matrix
Linear group of equations
Eigenvalues diagonalization
Fourier transformation
Laplace transformation
Z- transformation
Evaluation scale
Hyväksytty/Hylätty
Assessment criteria, approved/failed
Pass/Fail. When you have done at least 80% of tasks.
Enrollment
02.07.2023 - 31.07.2023
Timing
01.08.2023 - 31.07.2024
Number of ECTS credits allocated
5 op
Virtual portion
5 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
Objective
Vectors and matrices
Special matrices, matrix descriptions
Inverse of a matrix
Linear group of equations
Eigenvalues diagonalization
Fourier transformation
Laplace transformation
Z- transformation
Content
Vectors and matrices
Special matrices, matrix descriptions
Inverse of a matrix
Linear group of equations
Eigenvalues diagonalization
Fourier transformation
Laplace transformation
Z- transformation
Evaluation scale
Hyväksytty/Hylätty
Assessment criteria, approved/failed
Pass/Fail. When you have done at least 80% of tasks.
Timing
01.08.2022 - 31.12.2022
Number of ECTS credits allocated
5 op
Virtual portion
5 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
Vectors and matrices
Special matrices, matrix descriptions
Inverse of a matrix
Linear group of equations
Eigenvalues diagonalization
Fourier transformation
Laplace transformation
Z- transformation
Content
Vectors and matrices
Special matrices, matrix descriptions
Inverse of a matrix
Linear group of equations
Eigenvalues diagonalization
Fourier transformation
Laplace transformation
Z- transformation
Location and time
Online. Course can be done in own pace.
Materials
N/A
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 Students via https://hakija.oma.metropolia.fi
Metropolia's Degree Students
1. Go to Web-site https://vw4.viope.com/login?org=metropolia
2. Register to system -> Click the link “Enroll on the course”
3. Choose any of course name (NonStop) behind it Fill the others fields
4. Now you can enroll and start other courses name (NonStop) behind them.
Remember to send email to viopesupport@metropolia.fi when you have done 80% of tasks.
Evaluation scale
Hyväksytty/Hylätty
Assessment criteria, approved/failed
Pass/Fail. When you have done at least 80% of tasks.
Assessment methods and criteria
Pass after student has done at least 80% of course.
Timing
01.08.2022 - 31.12.2022
Number of ECTS credits allocated
5 op
Virtual portion
5 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
Vectors and matrices
Special matrices, matrix descriptions
Inverse of a matrix
Linear group of equations
Eigenvalues diagonalization
Fourier transformation
Laplace transformation
Z- transformation
Content
Vectors and matrices
Special matrices, matrix descriptions
Inverse of a matrix
Linear group of equations
Eigenvalues diagonalization
Fourier transformation
Laplace transformation
Z- transformation
Location and time
Online. Course can be done in own pace.
Materials
N/A
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 Students via https://hakija.oma.metropolia.fi
Metropolia's Degree Students
1. Go to Web-site https://vw4.viope.com/login?org=metropolia
2. Register to system -> Click the link “Enroll on the course”
3. Choose any of course name (NonStop) behind it Fill the others fields
4. Now you can enroll and start other courses name (NonStop) behind them.
Remember to send email to viopesupport@metropolia.fi when you have done 80% of tasks.
Evaluation scale
Hyväksytty/Hylätty
Assessment criteria, approved/failed
Pass/Fail. When you have done at least 80% of tasks.
Assessment methods and criteria
Pass after student has done at least 80% of course.
Timing
01.08.2022 - 31.12.2022
Number of ECTS credits allocated
5 op
Virtual portion
5 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
Vectors and matrices
Special matrices, matrix descriptions
Inverse of a matrix
Linear group of equations
Eigenvalues diagonalization
Fourier transformation
Laplace transformation
Z- transformation
Content
Vectors and matrices
Special matrices, matrix descriptions
Inverse of a matrix
Linear group of equations
Eigenvalues diagonalization
Fourier transformation
Laplace transformation
Z- transformation
Location and time
Online. Course can be done in own pace.
Materials
N/A
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 Students via https://hakija.oma.metropolia.fi
Metropolia's Degree Students
1. Go to Web-site https://vw4.viope.com/login?org=metropolia
2. Register to system -> Click the link “Enroll on the course”
3. Choose any of course name (NonStop) behind it Fill the others fields
4. Now you can enroll and start other courses name (NonStop) behind them.
Remember to send email to viopesupport@metropolia.fi when you have done 80% of tasks.
Evaluation scale
Hyväksytty/Hylätty
Assessment criteria, approved/failed
Pass/Fail. When you have done at least 80% of tasks.
Assessment methods and criteria
Pass after student has done at least 80% of course.
Timing
01.08.2022 - 31.12.2023
Number of ECTS credits allocated
5 op
Virtual portion
5 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
Vectors and matrices
Special matrices, matrix descriptions
Inverse of a matrix
Linear group of equations
Eigenvalues diagonalization
Fourier transformation
Laplace transformation
Z- transformation
Content
Vectors and matrices
Special matrices, matrix descriptions
Inverse of a matrix
Linear group of equations
Eigenvalues diagonalization
Fourier transformation
Laplace transformation
Z- transformation
Location and time
Online. Course can be done in own pace.
Materials
N/A
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
Pass/Fail. When you have done at least 80% of tasks.
Assessment methods and criteria
Pass after student has done at least 80% of course.
Timing
01.08.2022 - 31.12.2023
Number of ECTS credits allocated
5 op
Virtual portion
5 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
Vectors and matrices
Special matrices, matrix descriptions
Inverse of a matrix
Linear group of equations
Eigenvalues diagonalization
Fourier transformation
Laplace transformation
Z- transformation
Content
Vectors and matrices
Special matrices, matrix descriptions
Inverse of a matrix
Linear group of equations
Eigenvalues diagonalization
Fourier transformation
Laplace transformation
Z- transformation
Location and time
Online. Course can be done in own pace.
Materials
N/A
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
Pass/Fail. When you have done at least 80% of tasks.
Assessment methods and criteria
Pass after student has done at least 80% of course.
Timing
01.08.2022 - 31.12.2023
Number of ECTS credits allocated
5 op
Virtual portion
5 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
Vectors and matrices
Special matrices, matrix descriptions
Inverse of a matrix
Linear group of equations
Eigenvalues diagonalization
Fourier transformation
Laplace transformation
Z- transformation
Content
Vectors and matrices
Special matrices, matrix descriptions
Inverse of a matrix
Linear group of equations
Eigenvalues diagonalization
Fourier transformation
Laplace transformation
Z- transformation
Location and time
Online. Course can be done in own pace.
Materials
N/A
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
Pass/Fail. When you have done at least 80% of tasks.
Assessment methods and criteria
Pass after student has done at least 80% of course.
Timing
01.08.2022 - 31.12.2023
Number of ECTS credits allocated
5 op
Virtual portion
5 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
Vectors and matrices
Special matrices, matrix descriptions
Inverse of a matrix
Linear group of equations
Eigenvalues diagonalization
Fourier transformation
Laplace transformation
Z- transformation
Content
Vectors and matrices
Special matrices, matrix descriptions
Inverse of a matrix
Linear group of equations
Eigenvalues diagonalization
Fourier transformation
Laplace transformation
Z- transformation
Location and time
Online. Course can be done in own pace.
Materials
N/A
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
Pass/Fail. When you have done at least 80% of tasks.
Assessment methods and criteria
Pass after student has done at least 80% of course.
Timing
01.08.2022 - 31.12.2023
Number of ECTS credits allocated
5 op
Virtual portion
5 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
Vectors and matrices
Special matrices, matrix descriptions
Inverse of a matrix
Linear group of equations
Eigenvalues diagonalization
Fourier transformation
Laplace transformation
Z- transformation
Content
Vectors and matrices
Special matrices, matrix descriptions
Inverse of a matrix
Linear group of equations
Eigenvalues diagonalization
Fourier transformation
Laplace transformation
Z- transformation
Location and time
Online. Course can be done in own pace.
Materials
N/A
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
Pass/Fail. When you have done at least 80% of tasks.
Assessment methods and criteria
Pass after student has done at least 80% of course.
Timing
01.08.2022 - 31.12.2023
Number of ECTS credits allocated
5 op
Virtual portion
5 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
Vectors and matrices
Special matrices, matrix descriptions
Inverse of a matrix
Linear group of equations
Eigenvalues diagonalization
Fourier transformation
Laplace transformation
Z- transformation
Content
Vectors and matrices
Special matrices, matrix descriptions
Inverse of a matrix
Linear group of equations
Eigenvalues diagonalization
Fourier transformation
Laplace transformation
Z- transformation
Location and time
Online. Course can be done in own pace.
Materials
N/A
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
Pass/Fail. When you have done at least 80% of tasks.
Assessment methods and criteria
Pass after student has done at least 80% of course.