Mathematics of Automation 3 (5 cr)
Code: TX00DT06-3004
General information
- Enrollment
-
27.11.2023 - 11.02.2024
Registration for the implementation has ended.
- Timing
-
18.03.2024 - 10.05.2024
Implementation has ended.
- 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
- Aku Valmu
- Raisa Kallio
- Teacher in charge
- Raisa Kallio
- Groups
-
SA21SAutomaatiotekniikan pääaine, syksyllä 2021 aloittaneet päiväopiskelijat
- Course
- TX00DT06
Implementation has 11 reservations. Total duration of reservations is 35 h 45 min.
Time | Topic | Location |
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Wed 20.03.2024 time 17:00 - 20:15 (3 h 15 min) |
Automaatiotekniikan matematiikka 3 TX00DT06-3004 |
Online
|
Thu 21.03.2024 time 17:00 - 20:15 (3 h 15 min) |
Automaatiotekniikan matematiikka 3 TX00DT06-3004 |
Online
|
Wed 27.03.2024 time 17:00 - 20:15 (3 h 15 min) |
Automaatiotekniikan matematiikka 3 TX00DT06-3004 |
Online
|
Thu 28.03.2024 time 17:00 - 20:15 (3 h 15 min) |
Automaatiotekniikan matematiikka 3 TX00DT06-3004 |
Online
|
Wed 03.04.2024 time 17:00 - 20:15 (3 h 15 min) |
Automaatiotekniikan matematiikka 3 TX00DT06-3004 |
Online
|
Thu 04.04.2024 time 17:00 - 20:15 (3 h 15 min) |
Automaatiotekniikan matematiikka 3 TX00DT06-3004 |
Online
|
Wed 10.04.2024 time 17:00 - 20:15 (3 h 15 min) |
Automaatiotekniikan matematiikka 3 TX00DT06-3004 |
MMC375
Oppimistila
|
Wed 17.04.2024 time 17:00 - 20:15 (3 h 15 min) |
Automaatiotekniikan matematiikka 3 TX00DT06-3004 |
Online
|
Thu 25.04.2024 time 17:00 - 20:15 (3 h 15 min) |
Automaatiotekniikan matematiikka 3 TX00DT06-3004 |
Online
|
Thu 02.05.2024 time 17:00 - 20:15 (3 h 15 min) |
Automaatiotekniikan matematiikka 3 TX00DT06-3004 |
Online
|
Wed 08.05.2024 time 17:00 - 20:15 (3 h 15 min) |
Automaatiotekniikan matematiikka 3 TX00DT06-3004 |
MMC375
Oppimistila
|
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.
Assessment criteria, approved/failed
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.