Automation Technology Mathematics (4cr)
Code: KC00AMT1042-3015
General information
- Enrollment
- 10.11.2025 - 18.02.2026
- Registration for introductions has not started yet.
- Timing
- 02.03.2026 - 26.04.2026
- The implementation has not yet started.
- Number of ECTS credits allocated
- 4 cr
- Unit
- SeAMK Automation Engineering and Information Technology
- Campus
- SeAMK Seinäjoki, Frami
- Teaching languages
- Finnish
- Degree programmes
- Bachelor of Engineering, Automation Engineering
- Teachers
- Pasi Mikkonen
- Groups
-
AUTE24KADegree Programme in Automation Engineering, Full-time studies
- Course
- 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
Location and time
The schedules can be found in the timetable at https://lukkarikone.seamk.fi/. Timetables are published for the next six weeks. The first six weeks of autumn are published by Midsummer and the first six weeks of spring by Christmas. Timetables may be subject to changes.
Materials
To be announced at the beginning of the course.
Teaching methods
The study involves contact teaching and requires attendance at the SEAMK campus.
Student workload
The workload of the study is designed so that one credit corresponds to an average of 27 hours of student work to achieve the learning objectives. The actual time required varies individually, e.g., due to prior knowledge.
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.
Qualifications
Prerequisites and co-requisites
Algebra and geometry, Vectors and matrices, Differential and integral calculus
Further information
80% attendance requirement at classes.