Automation Technology MathematicsLaajuus (4 cr)
Code: AE00CM45
Objective
Students will be competent in using the mathematical methods described in the course contents to solve practical mathematical problems.
Content
Laplace transform
Fourier transform
Probability and statistics
Data analysis
Qualifications
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 described in the course contents, 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 described in the course contents, 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 described in the course contents, 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.
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
-
AE23Bachelor of Engineering, Automation Engineering
Objective
Students will be competent in using the mathematical methods described in the course contents to solve practical mathematical problems.
Content
Laplace transform
Fourier transform
Probability and statistics
Data analysis
Materials
to be announced at the beginning of the course
Teaching methods
lectures, independent study
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 described in the course contents, 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 described in the course contents, 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 described in the course contents, 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
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
- English
Degree programmes
- Bachelor of Engineering, Automation Engineering
Teachers
- Pasi Mikkonen
Student groups
-
AE22Bachelor of Engineering, Automation Engineering
Objective
Students will be competent in using the mathematical methods described in the course contents to solve practical mathematical problems.
Content
Laplace transform
Fourier transform
Probability and statistics
Data analysis
Materials
to be announced at the beginning of the course
Teaching methods
lectures, independent study
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 described in the course contents, 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 described in the course contents, 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 described in the course contents, 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
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
- English
Degree programmes
- Bachelor of Engineering, Automation Engineering
Teachers
- Pasi Mikkonen
Student groups
-
AE21Bachelor of Engineering, Automation Engineering
Objective
Students will be competent in using the mathematical methods described in the course contents to solve practical mathematical problems.
Content
Laplace transform
Fourier transform
Probability and statistics
Data analysis
Materials
to be announced at the beginning of the course
Teaching methods
lectures, independent study
Student workload
lectures 35h
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 described in the course contents, 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 described in the course contents, 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 described in the course contents, 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
Algebra and geometry, Vectors and matrices, Differential and integral calculus