Mathematics of Automation 1 (5 cr)
Code: TX00DS30-3011
General information
- Enrollment
-
27.11.2023 - 31.12.2023
Registration for the implementation has ended.
- Timing
-
18.03.2024 - 10.05.2024
Implementation has ended.
- Number of ECTS credits allocated
- 5 cr
- Local portion
- 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
-
SA22SAutomaatiotekniikan pääaine, syksyllä 2022 aloittaneet päiväopiskelijat
- Course
- TX00DS30
Implementation has 21 reservations. Total duration of reservations is 56 h 0 min.
Time | Topic | Location |
---|---|---|
Mon 18.03.2024 time 08:00 - 11:00 (3 h 0 min) |
Automaatiotekniikan matematiikka 1 TX00DS30-3011 |
MMB301
Auditorio 3 krs.
|
Thu 21.03.2024 time 12:00 - 14:00 (2 h 0 min) |
Automaatiotekniikan matematiikka 1 TX00DS30-3011 |
MMB301
Auditorio 3 krs.
|
Fri 22.03.2024 time 10:00 - 13:00 (3 h 0 min) |
Automaatiotekniikan matematiikka 1 TX00DS30-3011 |
MMB253
IT-Tila
|
Mon 25.03.2024 time 08:00 - 11:00 (3 h 0 min) |
Automaatiotekniikan matematiikka 1 TX00DS30-3011 |
MMB301
Auditorio 3 krs.
|
Thu 28.03.2024 time 12:00 - 14:00 (2 h 0 min) |
Automaatiotekniikan matematiikka 1 TX00DS30-3011 |
MMC345
Oppimistila
|
Thu 04.04.2024 time 12:00 - 14:00 (2 h 0 min) |
Automaatiotekniikan matematiikka 1 TX00DS30-3011 |
MMC345
Oppimistila
|
Fri 05.04.2024 time 10:00 - 13:00 (3 h 0 min) |
Automaatiotekniikan matematiikka 1 TX00DS30-3011 |
MMB253
IT-Tila
|
Wed 10.04.2024 time 14:00 - 17:00 (3 h 0 min) |
Automaatiotekniikan matematiikka 1 TX00DS30-3011 |
MMC230
Oppimistila
|
Thu 11.04.2024 time 12:00 - 14:00 (2 h 0 min) |
Automaatiotekniikan matematiikka 1 TX00DS30-3011 |
MMC345
Oppimistila
|
Fri 12.04.2024 time 12:00 - 15:00 (3 h 0 min) |
Automaatiotekniikan matematiikka 1 TX00DS30-3011 |
MMB253
IT-Tila
|
Mon 15.04.2024 time 08:00 - 11:00 (3 h 0 min) |
Automaatiotekniikan matematiikka 1 TX00DS30-3011 |
MMB301
Auditorio 3 krs.
|
Thu 18.04.2024 time 12:00 - 14:00 (2 h 0 min) |
Automaatiotekniikan matematiikka 1 TX00DS30-3011 |
MMB301
Auditorio 3 krs.
|
Fri 19.04.2024 time 10:00 - 13:00 (3 h 0 min) |
Automaatiotekniikan matematiikka 1 TX00DS30-3011 |
MMB253
IT-Tila
|
Mon 22.04.2024 time 08:00 - 11:00 (3 h 0 min) |
Automaatiotekniikan matematiikka 1 TX00DS30-3011 |
MMB301
Auditorio 3 krs.
|
Thu 25.04.2024 time 12:00 - 14:00 (2 h 0 min) |
Automaatiotekniikan matematiikka 1 TX00DS30-3011 |
MMC345
Oppimistila
|
Fri 26.04.2024 time 12:00 - 15:00 (3 h 0 min) |
Automaatiotekniikan matematiikka 1 TX00DS30-3011 |
MMB253
IT-Tila
|
Mon 29.04.2024 time 08:00 - 11:00 (3 h 0 min) |
Automaatiotekniikan matematiikka 1 TX00DS30-3011 |
MMC345
Oppimistila
|
Thu 02.05.2024 time 12:00 - 14:00 (2 h 0 min) |
Automaatiotekniikan matematiikka 1 TX00DS30-3011 |
MMC345
Oppimistila
|
Fri 03.05.2024 time 10:00 - 13:00 (3 h 0 min) |
Automaatiotekniikan matematiikka 1 TX00DS30-3011 |
MMB253
IT-Tila
|
Mon 06.05.2024 time 08:00 - 11:00 (3 h 0 min) |
Automaatiotekniikan matematiikka 1 TX00DS30-3011 |
MMA101
A-auditorio
|
Fri 10.05.2024 time 12:00 - 15:00 (3 h 0 min) |
Automaatiotekniikan matematiikka 1 TX00DS30-3011 |
MMC230
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
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.