Automation Technology Mathematics (4cr)

Code: KC00AMT1042-3017

General information

Enrollment: 10.11.2025 - 14.01.2026; Registration for the implementation has begun.

Timing: 07.01.2026 - 26.04.2026; The implementation has not yet started.

Number of ECTS credits allocated: 4 cr

Local portion: 4 cr

Mode of delivery: Contact learning

Unit: SeAMK Automation Engineering and Information Technology

Campus: SeAMK Seinäjoki, Frami

Teaching languages: Finnish

Seats: 0 - 100

Degree programmes: Bachelor of Engineering, Automation Engineering

Teachers: Pasi Mikkonen

Scheduling groups: Avoin AMK (Ei koske tutkinto-opiskelijaa) (Size: 10 . Open UAS : 10.)

Groups: MAUTE24
Insinööri (AMK), Automaatiotekniikka, monimuotototeutus

Small groups: Open UAS (Doesn't apply to degree student)

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 for the scheduled online teaching 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

- It is also possible to follow contact teaching online (hybrid).
- The recordings of the teaching sessions are available for later viewing in Teams.

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