Digital modelling
| Structure Type: | Course |
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| Code: | KL25AB55000 |
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| Type: | Compulsory |
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| Level: | Bachelor |
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| Credits: | 3.0 points |
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| Responsible Teacher: | Ristimäki, Niko |
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| Language of Instruction: | Finnish |
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Course Implementations, Planned Year of Study and Semester
| Curriculum | Semester | Credits | Start of Semester | End of Semester |
| AUTE-2013SAUT |
3 autumn |
3.0 |
2015-08-01 |
2015-12-31 |
| AUTE-2014SAUT |
3 autumn |
3.0 |
2016-08-01 |
2016-12-31 |
| AUTE-2015SAUT |
3 autumn |
3.0 |
2017-08-01 |
2017-12-31 |
| AUTE-2016SAUT |
2 spring |
3.0 |
2018-01-01 |
2018-07-31 |
Learning Outcomes
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.
Student's Workload
Total work load of the course: 80 h
- of which scheduled studies: 40 h
- of which autonomous studies: 40 h
Prerequisites / Recommended Optional Courses
No previous studies are required.
Contents
Modelling, simulation, interpolation, fuzzy logic, factor analysis, principal component analysis, structured text programming, MATLAB and Simulink.
Recommended or Required Reading
Lecture material and demonstrations
Mode of Delivery / Planned Learning Activities and Teaching Methods
Lectures, demonstrations, assignments, group work
Assessment Criteria
Excellent (5): The student can utilize learned skills in demanding projects.
Good (3-4): The student masters well principles of mathematical modelling and can utilize models in the designing of control software for automation devices.
Satisfactory (1-2): The student knows basics.
Assessment Methods
Assignments and an examination (100%)
Work Placement
None
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