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Digital modellingLaajuus (3 cr)

Code: KL25AB55000

Objective

Students will be able to represent real-world processes using mathematical models and numerical computing software. They will also be able to utilise mathematical models in the designing of control software for automation devices.

Content

Modelling, simulation, interpolation, fuzzy logic, factor analysis, principal component analysis, structured text programming, MATLAB and Simulink.

Qualifications

No previous studies are required.

Assessment criteria, satisfactory (1)

Satisfactory (1-2): The student knows basics.

Assessment criteria, good (3)

Good (3-4): The student masters well principles of mathematical modelling and can utilize models in the designing of control software for automation devices.

Assessment criteria, excellent (5)

Excellent (5): The student can utilize learned skills in demanding projects.

Materials

Lecture material and demonstrations

Enrollment

14.11.2022 - 15.01.2023

Timing

09.01.2023 - 26.02.2023

Credits

3 op

Teaching languages
  • Finnish
Degree programmes
  • Bachelor of Engineering, Automation Engineering
Teachers
  • Pasi Mikkonen
Student groups
  • AUTE21SA

Objective

Students will be able to represent real-world processes using mathematical models and numerical computing software. They will also be able to utilise mathematical models in the designing of control software for automation devices.

Content

Modelling, simulation, interpolation, fuzzy logic, factor analysis, principal component analysis, structured text programming, MATLAB and Simulink.

Materials

Lecture material and demonstrations

Teaching methods

Lectures, exercises

Employer connections

None

Student workload

81 h

Evaluation scale

1-5

Assessment criteria, satisfactory (1)

Satisfactory (1-2): The student knows basics.

Assessment criteria, good (3)

Good (3-4): The student masters well principles of mathematical modelling and can utilize models in the designing of control software for automation devices.

Assessment criteria, excellent (5)

Excellent (5): The student can utilize learned skills in demanding projects.

Assessment methods and criteria

Assignments

Qualifications

No previous studies are required.

Enrollment

16.04.2022 - 07.09.2022

Timing

29.08.2022 - 16.10.2022

Credits

3 op

Teaching languages
  • Finnish
Degree programmes
  • Bachelor of Engineering, Automation Engineering
Teachers
  • Pasi Mikkonen
Student groups
  • AUTE20SA

Objective

Students will be able to represent real-world processes using mathematical models and numerical computing software. They will also be able to utilise mathematical models in the designing of control software for automation devices.

Content

Modelling, simulation, interpolation, fuzzy logic, factor analysis, principal component analysis, structured text programming, MATLAB and Simulink.

Materials

Lecture material and demonstrations

Teaching methods

Lectures, exercises

Employer connections

None

Student workload

81 h

Evaluation scale

1-5

Assessment criteria, satisfactory (1)

Satisfactory (1-2): The student knows basics.

Assessment criteria, good (3)

Good (3-4): The student masters well principles of mathematical modelling and can utilize models in the designing of control software for automation devices.

Assessment criteria, excellent (5)

Excellent (5): The student can utilize learned skills in demanding projects.

Assessment methods and criteria

Assignments

Qualifications

No previous studies are required.

Enrollment

03.12.2021 - 23.01.2022

Timing

10.01.2022 - 29.05.2022

Credits

3 op

Teaching languages
  • Finnish
Degree programmes
  • Bachelor of Engineering, Automation Engineering
Teachers
  • Pasi Mikkonen
Student groups
  • MAUTE19

Objective

Students will be able to represent real-world processes using mathematical models and numerical computing software. They will also be able to utilise mathematical models in the designing of control software for automation devices.

Content

Modelling, simulation, interpolation, fuzzy logic, factor analysis, principal component analysis, structured text programming, MATLAB and Simulink.

Materials

Lecture material and demonstrations

Teaching methods

Lectures, exercises

Employer connections

None

Student workload

81 h

Evaluation scale

1-5

Assessment criteria, satisfactory (1)

Satisfactory (1-2): The student knows basics.

Assessment criteria, good (3)

Good (3-4): The student masters well principles of mathematical modelling and can utilize models in the designing of control software for automation devices.

Assessment criteria, excellent (5)

Excellent (5): The student can utilize learned skills in demanding projects.

Assessment methods and criteria

Assignments

Qualifications

No previous studies are required.