Skip to main content

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
SA22S
Automaatiotekniikan 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
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

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.

Go back to top of page