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Automation Technology Mathematics (4 cr)

Code: AE00CM45-3002

General information


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

  • AE22
    Bachelor 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