Digital modelling

Structure Type: Course
Code: KL25AB55000
Type: Compulsory
Level: Bachelor
Credits: 3.0 points
Responsible Teacher: Ristimäki, Niko
Language of Instruction: Finnish

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.


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