Mathematics of Automation 3 (5 cr)

Code: TX00DT06-3005

General information

Enrollment: 02.12.2024 - 31.12.2024
Registration for the implementation has ended.

Timing: 17.03.2025 - 11.05.2025
Implementation is running.

Number of ECTS credits allocated: 5 cr

Mode of delivery: On-campus

Unit: (2019-2024) School of Smart and Clean Solutions

Campus: Leiritie 1

Teaching languages: Finnish

Degree programmes: Electrical and Automation Engineering

Teachers: Erna Piila; Tatu Suomi

Teacher in charge: Raisa Kallio

Groups: SA21S
Automaatiotekniikan pääaine, syksyllä 2021 aloittaneet päiväopiskelijat; SA22S
Automaatiotekniikan pääaine, syksyllä 2022 aloittaneet päiväopiskelijat

Course: TX00DT06

Implementation has 9 reservations. Total duration of reservations is 29 h 15 min.

Time	Topic	Location
Tue 18.03.2025 time 17:00 - 20:15 (3 h 15 min)	Automaatiotekniikan matematiikka 3 TX00DT06-3005	Zoom
Mon 24.03.2025 time 17:00 - 20:15 (3 h 15 min)	Automaatiotekniikan matematiikka 3 TX00DT06-3005	Online
Tue 01.04.2025 time 17:00 - 20:15 (3 h 15 min)	Automaatiotekniikan matematiikka 3 TX00DT06-3005	Zoom
Mon 07.04.2025 time 17:00 - 20:15 (3 h 15 min)	Automaatiotekniikan matematiikka 3 TX00DT06-3005	Online
Tue 15.04.2025 time 17:00 - 20:15 (3 h 15 min)	Automaatiotekniikan matematiikka 3 TX00DT06-3005	Zoom
Wed 23.04.2025 time 17:00 - 20:15 (3 h 15 min)	Automaatiotekniikan matematiikka 3 TX00DT06-3005	Online
Tue 29.04.2025 time 17:00 - 20:15 (3 h 15 min)	Automaatiotekniikan matematiikka 3 TX00DT06-3005	Zoom
Mon 05.05.2025 time 17:00 - 20:15 (3 h 15 min)	Automaatiotekniikan matematiikka 3 TX00DT06-3005	Online
Thu 08.05.2025 time 17:00 - 20:15 (3 h 15 min)	Automaatiotekniikan matematiikka 3 TX00DT06-3005	MMB253 IT-Tila

Changes to reservations may be possible.

Objective

After completing this course, students are familiar with basics of mathematical tools of control theory, dynamic modelling, and students are familiar with basics of applied mathematics used on advanced control methods.
- Students are familiar with mathematical software tools used in modelling and simulation.

Content

1. Basics of modelling of dynamical systems
2. Mathematical basics of advanced control methods

Evaluation scale

0-5

Assessment criteria, satisfactory (1)

The student has achieved the course objectives fairly. The student will be able to identify, define and use the course subject area’s concepts and models. The student understands the criteria and principles of the expertise development. The student has completed the required learning exercises in minimum requirement level. His/her competences have developed in a way that he/she may complete the remaining studies in electrical engineering and automation technology and finally work in a suitable job position related to this field.

Assessment criteria, good (3)

The student has achieved the course objectives well, even though the knowledge and skills need improvement on some areas. The student has completed the required learning exercises in good or satisfactory level. The student is able to define the course concepts and models and is able to justify the analysis. The student is able to apply their knowledge in study and work situations. The student understands the importance of expertise in the field of electrical engineering and automation technology and is able to analyze his/her own expertise.

Assessment criteria, excellent (5)

The student has achieved the objectives of the course with excellent marks. The student master commendably the course subject area’s concepts and models. The student has completed the required learning exercises in good or excellent level. The student is able to make justified and fluent analysis and to present concrete development measures. The student is well prepared to apply their knowledge study and work situations. Students are able to analyze the expertise in electrical engineering and automation technology and the evolvement of their own expertise.