Study Guide

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.

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.

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.

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.

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.

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.

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.

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.

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.