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
11.11.2024 - 19.02.2025
Timing
03.03.2025 - 27.04.2025
Credits
4 op
Teaching languages
- Finnish
Degree programmes
- Bachelor of Engineering, Automation Engineering
Teachers
- Pasi Mikkonen
Student groups
-
AUTE23KADegree 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
Further information
80% attendance in lectures and exercises
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+exam
Qualifications
Prerequisites and co-requisites
Algebra and geometry, Vectors and matrices, Differential and integral calculus
Enrollment
11.11.2024 - 15.01.2025
Timing
07.01.2025 - 23.02.2025
Credits
4 op
Teaching languages
- Finnish
Degree programmes
- Bachelor of Engineering, Automation Engineering
Teachers
- Pasi Mikkonen
Student groups
-
AUTE23SADegree 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
Further information
80% attendance in lectures and exercises
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+exam
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
-
AUTE22KADegree 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
-
AUTE22SADegree 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