Mathematics of Automation 2 (5 cr)
Code: TX00DS97-3006
General information
- Enrollment
-
28.11.2022 - 31.12.2022
Registration for the implementation has ended.
- Timing
-
13.03.2023 - 05.05.2023
Implementation has ended.
- Number of ECTS credits allocated
- 5 cr
- Local portion
- 5 cr
- Mode of delivery
- On-campus
- Unit
- (2019-2024) Team Smart
- Campus
- Leiritie 1
- Teaching languages
- Finnish
- Degree programmes
- Electrical and Automation Engineering
- Teachers
- Eija Koriseva
- Teacher in charge
- Raisa Kallio
- Groups
-
SA21SAutomaatiotekniikan pääaine, syksyllä 2021 aloittaneet päiväopiskelijat
- Course
- TX00DS97
Implementation has 32 reservations. Total duration of reservations is 73 h 0 min.
Time | Topic | Location |
---|---|---|
Wed 15.03.2023 time 12:00 - 15:00 (3 h 0 min) |
Automaatiotekniikan matematiikka 2 TX00DS97-3006 |
MMC345
Oppimistila
|
Fri 17.03.2023 time 09:00 - 11:00 (2 h 0 min) |
Automaatiotekniikan matematiikka 2 TX00DS97-3006 |
MMA216
Oppimistila
|
Fri 17.03.2023 time 11:00 - 13:00 (2 h 0 min) |
Automaatiotekniikan matematiikka 2 TX00DS97-3006 |
MMC312
Oppimistila
|
Fri 17.03.2023 time 13:00 - 15:00 (2 h 0 min) |
Automaatiotekniikan matematiikka 2 TX00DS97-3006 |
MMC345
Oppimistila
|
Wed 22.03.2023 time 12:00 - 15:00 (3 h 0 min) |
Automaatiotekniikan matematiikka 2 TX00DS97-3006 |
MMC345
Oppimistila
|
Fri 24.03.2023 time 09:00 - 11:00 (2 h 0 min) |
Automaatiotekniikan matematiikka 2 TX00DS97-3006 |
MMA118
IT-Tila
|
Fri 24.03.2023 time 11:00 - 13:00 (2 h 0 min) |
Automaatiotekniikan matematiikka 2 TX00DS97-3006 |
MMA118
IT-Tila
|
Fri 24.03.2023 time 13:00 - 15:00 (2 h 0 min) |
Automaatiotekniikan matematiikka 2 TX00DS97-3006 |
MMC345
Oppimistila
|
Wed 29.03.2023 time 12:00 - 15:00 (3 h 0 min) |
Automaatiotekniikan matematiikka 2 TX00DS97-3006 |
MMC345
Oppimistila
|
Fri 31.03.2023 time 09:00 - 11:00 (2 h 0 min) |
Automaatiotekniikan matematiikka 2 TX00DS97-3006 |
MMA216
Oppimistila
|
Fri 31.03.2023 time 11:00 - 13:00 (2 h 0 min) |
Automaatiotekniikan matematiikka 2 TX00DS97-3006 |
MMC312
Oppimistila
|
Fri 31.03.2023 time 13:00 - 15:00 (2 h 0 min) |
Automaatiotekniikan matematiikka 2 TX00DS97-3006 |
MMC345
Oppimistila
|
Mon 03.04.2023 time 09:00 - 11:00 (2 h 0 min) |
Automaatiotekniikan matematiikka 2 TX00DS97-3006 |
MMC230
Oppimistila
|
Mon 03.04.2023 time 11:00 - 13:00 (2 h 0 min) |
Automaatiotekniikan matematiikka 2 TX00DS97-3006 |
MMA111a
Oppimistila
|
Wed 05.04.2023 time 12:00 - 15:00 (3 h 0 min) |
Automaatiotekniikan matematiikka 2 TX00DS97-3006 |
MMC345
Oppimistila
|
Wed 12.04.2023 time 12:00 - 15:00 (3 h 0 min) |
Automaatiotekniikan matematiikka 2 TX00DS97-3006 |
MMC345
Oppimistila
|
Fri 14.04.2023 time 09:00 - 12:00 (3 h 0 min) |
Automaatiotekniikan matematiikka 2 TX00DS97-3006 |
MMB348
IT-Tila
|
Fri 14.04.2023 time 12:00 - 13:00 (1 h 0 min) |
Automaatiotekniikan matematiikka 2 TX00DS97-3006 |
MMA118
IT-Tila
|
Fri 14.04.2023 time 13:00 - 15:00 (2 h 0 min) |
Automaatiotekniikan matematiikka 2 TX00DS97-3006 |
MMC345
Oppimistila
|
Wed 19.04.2023 time 12:00 - 15:00 (3 h 0 min) |
Automaatiotekniikan matematiikka 2 TX00DS97-3006 |
MMC345
Oppimistila
|
Fri 21.04.2023 time 09:00 - 11:00 (2 h 0 min) |
Automaatiotekniikan matematiikka 2 TX00DS97-3006 |
MMA216
Oppimistila
|
Fri 21.04.2023 time 11:00 - 13:00 (2 h 0 min) |
Automaatiotekniikan matematiikka 2 TX00DS97-3006 |
MMC312
Oppimistila
|
Fri 21.04.2023 time 13:00 - 15:00 (2 h 0 min) |
Automaatiotekniikan matematiikka 2 TX00DS97-3006 |
MMC345
Oppimistila
|
Wed 26.04.2023 time 12:00 - 15:00 (3 h 0 min) |
Automaatiotekniikan matematiikka 2 TX00DS97-3006 |
MMC345
Oppimistila
|
Fri 28.04.2023 time 09:00 - 11:00 (2 h 0 min) |
Automaatiotekniikan matematiikka 2 TX00DS97-3006 |
MMA216
Oppimistila
|
Fri 28.04.2023 time 11:00 - 13:00 (2 h 0 min) |
Automaatiotekniikan matematiikka 2 TX00DS97-3006 |
MMC312
Oppimistila
|
Fri 28.04.2023 time 13:00 - 15:00 (2 h 0 min) |
Automaatiotekniikan matematiikka 2 TX00DS97-3006 |
MMC345
Oppimistila
|
Wed 03.05.2023 time 12:00 - 15:00 (3 h 0 min) |
Automaatiotekniikan matematiikka 2 TX00DS97-3006 |
MMC345
Oppimistila
|
Thu 04.05.2023 time 08:00 - 10:00 (2 h 0 min) |
Automaatiotekniikan matematiikka 2 TX00DS97-3006 |
MMC308
Oppimistila
|
Fri 05.05.2023 time 11:00 - 13:00 (2 h 0 min) |
Automaatiotekniikan matematiikka 2 TX00DS97-3006 |
MMC312
Oppimistila
|
Fri 05.05.2023 time 13:00 - 15:00 (2 h 0 min) |
Automaatiotekniikan matematiikka 2 TX00DS97-3006 |
MMC345
Oppimistila
|
Fri 05.05.2023 time 15:00 - 18:00 (3 h 0 min) |
Automaatiotekniikan matematiikka 2 TX00DS97-3006 |
MMC345
Oppimistila
|
Objective
After the course the student is familiar with basics of integral calculus. The student is able to use differential calculus in his or her subsequent studies in physics and professional studies.
Student is familiar with basics of integral transforms and is able to use them in his or her professional studies.
Student can form ordinary differential equations and solve them both analytical and with numerical methods.
Students is able to use mathematical software in courses subjects.
Content
1. Integral calculus
2. Integral Transforms and applications in automation engineering
3. Basics of differential equations
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.