Mathematics of Automation 1 (5 cr)
Code: TX00DS30-3012
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
- Susanna Varonen
- Teacher in charge
- Raisa Kallio
- Groups
-
SA23SAutomaatiotekniikan pääaine, syksyllä 2023 aloittaneet päiväopiskelijat
- Course
- TX00DS30
Implementation has 23 reservations. Total duration of reservations is 58 h 0 min.
Time | Topic | Location |
---|---|---|
Tue 18.03.2025 time 11:00 - 13:00 (2 h 0 min) |
Automaatiotekniikan matematiikka 1 TX00DS30-3012 |
MMB101
Auditorio 1 krs.
|
Fri 21.03.2025 time 11:00 - 14:00 (3 h 0 min) |
Automaatiotekniikan matematiikka 1 TX00DS30-3012 |
MMC364
Oppimistila
|
Mon 24.03.2025 time 08:00 - 10:00 (2 h 0 min) |
Automaatiotekniikan matematiikka 1 TX00DS30-3012 |
MMC230
Oppimistila
|
Thu 27.03.2025 time 14:00 - 16:00 (2 h 0 min) |
Automaatiotekniikan matematiikka 1 TX00DS30-3012 |
MMB253
IT-Tila
|
Fri 28.03.2025 time 11:00 - 14:00 (3 h 0 min) |
Automaatiotekniikan matematiikka 1 TX00DS30-3012 |
MMC364
Oppimistila
|
Fri 28.03.2025 time 14:00 - 16:00 (2 h 0 min) |
Automaatiotekniikan matematiikka 1 TX00DS30-3012 |
MMB253
IT-Tila
|
Tue 01.04.2025 time 11:00 - 13:00 (2 h 0 min) |
Automaatiotekniikan matematiikka 1 TX00DS30-3012 |
MMC345
Oppimistila
|
Thu 03.04.2025 time 11:00 - 14:00 (3 h 0 min) |
Automaatiotekniikan matematiikka 1 TX00DS30-3012 |
MMB101
Auditorio 1 krs.
|
Mon 07.04.2025 time 08:00 - 10:00 (2 h 0 min) |
Automaatiotekniikan matematiikka 1 TX00DS30-3012 |
MMC230
Oppimistila
|
Tue 08.04.2025 time 14:00 - 16:00 (2 h 0 min) |
Automaatiotekniikan matematiikka 1 TX00DS30-3012 |
MMC375
Oppimistila
MMB349 IT-Tila |
Thu 10.04.2025 time 15:00 - 17:00 (2 h 0 min) |
Automaatiotekniikan matematiikka 1 TX00DS30-3012 |
MMB349
IT-Tila
|
Fri 11.04.2025 time 11:00 - 14:00 (3 h 0 min) |
Automaatiotekniikan matematiikka 1 TX00DS30-3012 |
MMC364
Oppimistila
|
Tue 15.04.2025 time 11:00 - 13:00 (2 h 0 min) |
Automaatiotekniikan matematiikka 1 TX00DS30-3012 |
MMC345
Oppimistila
|
Tue 22.04.2025 time 11:00 - 13:00 (2 h 0 min) |
Automaatiotekniikan matematiikka 1 TX00DS30-3012 |
MMB101
Auditorio 1 krs.
|
Tue 22.04.2025 time 13:00 - 16:00 (3 h 0 min) |
Automaatiotekniikan matematiikka 1 TX00DS30-3012 |
MMA123
Oppimistila
MMB349 IT-Tila |
Thu 24.04.2025 time 14:00 - 17:00 (3 h 0 min) |
Automaatiotekniikan matematiikka 1 TX00DS30-3012 |
MMA215
Oppimistila
MMB349 IT-Tila |
Fri 25.04.2025 time 11:00 - 14:00 (3 h 0 min) |
Automaatiotekniikan matematiikka 1 TX00DS30-3012 |
MMC364
Oppimistila
|
Mon 28.04.2025 time 08:00 - 10:00 (2 h 0 min) |
Automaatiotekniikan matematiikka 1 TX00DS30-3012 |
MMC230
Oppimistila
|
Fri 02.05.2025 time 11:00 - 14:00 (3 h 0 min) |
Automaatiotekniikan matematiikka 1 TX00DS30-3012 |
MMC364
Oppimistila
|
Mon 05.05.2025 time 08:00 - 11:00 (3 h 0 min) |
Automaatiotekniikan matematiikka 1 TX00DS30-3012 |
MMC230
Oppimistila
|
Tue 06.05.2025 time 08:00 - 11:00 (3 h 0 min) |
Automaatiotekniikan matematiikka 1 TX00DS30-3012 |
MMB253
IT-Tila
|
Tue 06.05.2025 time 11:00 - 14:00 (3 h 0 min) |
Automaatiotekniikan matematiikka 1 TX00DS30-3012 |
MMB253
IT-Tila
|
Fri 09.05.2025 time 08:00 - 11:00 (3 h 0 min) |
Automaatiotekniikan matematiikka 1 TX00DS30-3012 |
MMC364
Oppimistila
|
Objective
After the course the student is familiar with number representations and conversions.
Student knows basics of Boolean algebra.
Student knows the basics of matrices and is able to apply the knowledge in automation’s applications.
Student knows basics of statistics.
Students is able to use mathematical software in courses subjects.
Content
1. Number representations
2. Boolean algebra
3. Matrices
4. Basics of statistics
Location and time
N/A
Materials
N/A
Teaching methods
N/A
Employer connections
N/A
Exam schedules
N/A
International connections
N/A
Completion alternatives
N/A
Student workload
N/A
Content scheduling
N/A
Further information
N/A
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.
Assessment methods and criteria
N/A