Skip to main content

Automation Technology MathematicsLaajuus (4 cr)

Code: KC00AMT1042

Objective

Students will be competent in using the MATLAB programme to solve practical mathematical problems.
Course contents
Laplace transform
Fourier transform
Probability and statistics
Data analysis

Content

Basics of the MATLAB programme and its use in the solution of mathematical problems.
Laplace transform
Fourier transform
Probability and statistics
Data analysis

Qualifications

Prerequisites and co-requisites
Algebra and geometry, Vectors and matrices, Differential and integral calculus

Assessment criteria, satisfactory (1)

satisfactory (1-2): The student knows and understands to a satisfactory extent the basic concepts and methods of MATLAB, and is able to apply them to usual problems.

Assessment criteria, good (3)

good (3-4): The student is familiar with the concepts and methods of MATLAB, and is able to apply them to different types of problems. The student is able to combine the accumulated knowledge and skills with previous experiences in the subject.

Assessment criteria, excellent (5)

excellent (5): The student is familiar with the concepts and methods of MATLAB, and is able to apply them to a variety of different problems. The student has demonstrated creativity and innovation, and is able to find new meanings when applying what they have learned.

Materials

To be announced at the beginning of the course.

Enrollment

13.11.2023 - 21.02.2024

Timing

04.03.2024 - 28.04.2024

Credits

4 op

Teaching languages
  • Finnish
Degree programmes
  • Bachelor of Engineering, Automation Engineering
Teachers
  • Pasi Mikkonen
Student groups
  • AUTE22KA
    Degree Programme in Automation Engineering, Full-time studies

Objective

Students will be competent in using the MATLAB programme to solve practical mathematical problems.
Course contents
Laplace transform
Fourier transform
Probability and statistics
Data analysis

Content

Basics of the MATLAB programme and its use in the solution of mathematical problems.
Laplace transform
Fourier transform
Probability and statistics
Data analysis

Materials

to be announced

Teaching methods

lectures and exercises

Student workload

108h

Evaluation scale

1-5

Assessment criteria, satisfactory (1)

satisfactory (1-2): The student knows and understands to a satisfactory extent the basic concepts and methods of MATLAB, and is able to apply them to usual problems.

Assessment criteria, good (3)

good (3-4): The student is familiar with the concepts and methods of MATLAB, and is able to apply them to different types of problems. The student is able to combine the accumulated knowledge and skills with previous experiences in the subject.

Assessment criteria, excellent (5)

excellent (5): The student is familiar with the concepts and methods of MATLAB, and is able to apply them to a variety of different problems. The student has demonstrated creativity and innovation, and is able to find new meanings when applying what they have learned.

Assessment methods and criteria

exercises

Qualifications

Prerequisites and co-requisites
Algebra and geometry, Vectors and matrices, Differential and integral calculus

Enrollment

13.11.2023 - 21.02.2024

Timing

04.03.2024 - 28.04.2024

Credits

4 op

Teaching languages
  • Finnish
Degree programmes
  • Bachelor of Engineering, Automation Engineering
Teachers
  • Pasi Mikkonen
Student groups
  • AUTE22SA
    Degree Programme in Automation Engineering, Full-time studies

Objective

Students will be competent in using the MATLAB programme to solve practical mathematical problems.
Course contents
Laplace transform
Fourier transform
Probability and statistics
Data analysis

Content

Basics of the MATLAB programme and its use in the solution of mathematical problems.
Laplace transform
Fourier transform
Probability and statistics
Data analysis

Materials

to be announced

Teaching methods

lectures and exercises

Student workload

108h

Evaluation scale

1-5

Assessment criteria, satisfactory (1)

satisfactory (1-2): The student knows and understands to a satisfactory extent the basic concepts and methods of MATLAB, and is able to apply them to usual problems.

Assessment criteria, good (3)

good (3-4): The student is familiar with the concepts and methods of MATLAB, and is able to apply them to different types of problems. The student is able to combine the accumulated knowledge and skills with previous experiences in the subject.

Assessment criteria, excellent (5)

excellent (5): The student is familiar with the concepts and methods of MATLAB, and is able to apply them to a variety of different problems. The student has demonstrated creativity and innovation, and is able to find new meanings when applying what they have learned.

Assessment methods and criteria

exercises

Qualifications

Prerequisites and co-requisites
Algebra and geometry, Vectors and matrices, Differential and integral calculus

Enrollment

14.11.2022 - 15.01.2023

Timing

09.01.2023 - 26.02.2023

Credits

4 op

Teaching languages
  • Finnish
Degree programmes
  • Bachelor of Engineering, Automation Engineering
Teachers
  • Pasi Mikkonen
Student groups
  • AUTE21SA
  • AUTE21KA

Objective

Students will be competent in using the MATLAB programme to solve practical mathematical problems.
Course contents
Laplace transform
Fourier transform
Probability and statistics
Data analysis

Content

Basics of the MATLAB programme and its use in the solution of mathematical problems.
Laplace transform
Fourier transform
Probability and statistics
Data analysis

Materials

to be announced

Teaching methods

lectures and exercises

Student workload

108h

Evaluation scale

1-5

Assessment criteria, satisfactory (1)

satisfactory (1-2): The student knows and understands to a satisfactory extent the basic concepts and methods of MATLAB, and is able to apply them to usual problems.

Assessment criteria, good (3)

good (3-4): The student is familiar with the concepts and methods of MATLAB, and is able to apply them to different types of problems. The student is able to combine the accumulated knowledge and skills with previous experiences in the subject.

Assessment criteria, excellent (5)

excellent (5): The student is familiar with the concepts and methods of MATLAB, and is able to apply them to a variety of different problems. The student has demonstrated creativity and innovation, and is able to find new meanings when applying what they have learned.

Assessment methods and criteria

exercises

Qualifications

Prerequisites and co-requisites
Algebra and geometry, Vectors and matrices, Differential and integral calculus

Enrollment

14.11.2022 - 15.01.2023

Timing

09.01.2023 - 04.06.2023

Credits

4 op

Teaching languages
  • Finnish
Degree programmes
  • Bachelor of Engineering, Automation Engineering
Teachers
  • Pasi Mikkonen
Student groups
  • MAUTE21

Objective

Students will be competent in using the MATLAB programme to solve practical mathematical problems.
Course contents
Laplace transform
Fourier transform
Probability and statistics
Data analysis

Content

Basics of the MATLAB programme and its use in the solution of mathematical problems.
Laplace transform
Fourier transform
Probability and statistics
Data analysis

Materials

to be announced

Teaching methods

lectures and exercises

Student workload

108h

Evaluation scale

1-5

Assessment criteria, satisfactory (1)

satisfactory (1-2): The student knows and understands to a satisfactory extent the basic concepts and methods of MATLAB, and is able to apply them to usual problems.

Assessment criteria, good (3)

good (3-4): The student is familiar with the concepts and methods of MATLAB, and is able to apply them to different types of problems. The student is able to combine the accumulated knowledge and skills with previous experiences in the subject.

Assessment criteria, excellent (5)

excellent (5): The student is familiar with the concepts and methods of MATLAB, and is able to apply them to a variety of different problems. The student has demonstrated creativity and innovation, and is able to find new meanings when applying what they have learned.

Assessment methods and criteria

exercises

Qualifications

Prerequisites and co-requisites
Algebra and geometry, Vectors and matrices, Differential and integral calculus

Enrollment

07.02.2022 - 20.03.2022

Timing

07.03.2022 - 08.05.2022

Credits

4 op

Teaching languages
  • Finnish
Degree programmes
  • Bachelor of Engineering, Automation Engineering
Teachers
  • Pasi Mikkonen
Student groups
  • AUTE20KA
  • AUTE20SA

Objective

Students will be competent in using the MATLAB programme to solve practical mathematical problems.
Course contents
Laplace transform
Fourier transform
Probability and statistics
Data analysis

Content

Basics of the MATLAB programme and its use in the solution of mathematical problems.
Laplace transform
Fourier transform
Probability and statistics
Data analysis

Materials

to be announced

Teaching methods

lectures and exercises

Student workload

108h

Evaluation scale

1-5

Assessment criteria, satisfactory (1)

satisfactory (1-2): The student knows and understands to a satisfactory extent the basic concepts and methods of MATLAB, and is able to apply them to usual problems.

Assessment criteria, good (3)

good (3-4): The student is familiar with the concepts and methods of MATLAB, and is able to apply them to different types of problems. The student is able to combine the accumulated knowledge and skills with previous experiences in the subject.

Assessment criteria, excellent (5)

excellent (5): The student is familiar with the concepts and methods of MATLAB, and is able to apply them to a variety of different problems. The student has demonstrated creativity and innovation, and is able to find new meanings when applying what they have learned.

Assessment methods and criteria

exercises

Qualifications

Prerequisites and co-requisites
Algebra and geometry, Vectors and matrices, Differential and integral calculus