Siirry suoraan sisältöön

Automation Technology MathematicsLaajuus (4 op)

Tunnus: AE00CM45

Osaamistavoitteet

Students will be competent in using the mathematical methods described in the course contents to solve practical mathematical problems.

Sisältö

Laplace transform
Fourier transform
Probability and statistics
Data analysis

Esitietovaatimukset

Algebra and geometry, Vectors and matrices, Differential and integral calculus

Arviointikriteerit, tyydyttävä (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.

Arviointikriteerit, hyvä (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.

Arviointikriteerit, kiitettävä (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.

Ilmoittautumisaika

11.11.2024 - 19.02.2025

Ajoitus

03.03.2025 - 27.04.2025

Laajuus

4 op

Yksikkö

SeAMK Automaatio- ja tietotekniikka

Toimipiste

SeAMK Seinäjoki, Frami

Opetuskielet
  • Suomi
Tutkinto-ohjelma
  • Bachelor of Engineering, Automation Engineering
Opettaja
  • Pasi Mikkonen
Opiskelijaryhmät
  • AE23
    Bachelor of Engineering, Automation Engineering

Tavoitteet

Students will be competent in using the mathematical methods described in the course contents to solve practical mathematical problems.

Sisältö

Laplace transform
Fourier transform
Probability and statistics
Data analysis

Oppimateriaalit

ilmoitetaan opintojakson alussa

Opetusmenetelmät

luennot, itsenäistä opiskelua

Opiskelijan ajankäyttö ja kuormitus

108h

Lisätietoja opiskelijoille

Tunneilla 80% läsnäolovaatimus

Arviointiasteikko

1-5

Arviointikriteerit, tyydyttävä (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.

Arviointikriteerit, hyvä (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.

Arviointikriteerit, kiitettävä (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.

Arviointimenetelmät ja arvioinnin perusteet

harjoitustehtävät+tentti

Esitietovaatimukset

Algebra and geometry, Vectors and matrices, Differential and integral calculus

Ilmoittautumisaika

13.11.2023 - 21.02.2024

Ajoitus

04.03.2024 - 28.04.2024

Laajuus

4 op

Yksikkö

SeAMK Automaatio- ja tietotekniikka

Toimipiste

SeAMK Seinäjoki, Frami

Opetuskielet
  • Englanti
Tutkinto-ohjelma
  • Bachelor of Engineering, Automation Engineering
Opettaja
  • Pasi Mikkonen
Opiskelijaryhmät
  • AE22
    Bachelor of Engineering, Automation Engineering

Tavoitteet

Students will be competent in using the mathematical methods described in the course contents to solve practical mathematical problems.

Sisältö

Laplace transform
Fourier transform
Probability and statistics
Data analysis

Oppimateriaalit

ilmoitetaan opintojakson alussa

Opetusmenetelmät

luennot, itsenäistä opiskelua

Opiskelijan ajankäyttö ja kuormitus

108h

Arviointiasteikko

1-5

Arviointikriteerit, tyydyttävä (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.

Arviointikriteerit, hyvä (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.

Arviointikriteerit, kiitettävä (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.

Arviointimenetelmät ja arvioinnin perusteet

harjoitustehtävät

Esitietovaatimukset

Algebra and geometry, Vectors and matrices, Differential and integral calculus

Ilmoittautumisaika

14.11.2022 - 15.01.2023

Ajoitus

09.01.2023 - 26.02.2023

Laajuus

4 op

Yksikkö

SeAMK Automaatio- ja tietotekniikka

Toimipiste

SeAMK Seinäjoki, Frami

Opetuskielet
  • Englanti
Tutkinto-ohjelma
  • Bachelor of Engineering, Automation Engineering
Opettaja
  • Pasi Mikkonen
Opiskelijaryhmät
  • AE21
    Bachelor of Engineering, Automation Engineering

Tavoitteet

Students will be competent in using the mathematical methods described in the course contents to solve practical mathematical problems.

Sisältö

Laplace transform
Fourier transform
Probability and statistics
Data analysis

Oppimateriaalit

ilmoitetaan opintojakson alussa

Opetusmenetelmät

luennot, itsenäistä opiskelua

Opiskelijan ajankäyttö ja kuormitus

luentoja 35h

Arviointiasteikko

1-5

Arviointikriteerit, tyydyttävä (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.

Arviointikriteerit, hyvä (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.

Arviointikriteerit, kiitettävä (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.

Arviointimenetelmät ja arvioinnin perusteet

harjoitustehtävät

Esitietovaatimukset

Algebra and geometry, Vectors and matrices, Differential and integral calculus