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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
SA23S
Automaatiotekniikan 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
Changes to reservations may be possible.

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

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