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Mathematics of Automation 1 (5 cr)

Code: TX00DS30-3010

General information


Enrollment
01.05.2024 - 31.05.2024
Registration for the implementation has ended.
Timing
19.08.2024 - 13.12.2024
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
Seats
0 - 40
Degree programmes
Electrical and Automation Engineering
Teachers
Simo Paakkari
Teacher in charge
Raisa Kallio
Course
TX00DS30

Implementation has 6 reservations. Total duration of reservations is 19 h 30 min.

Time Topic Location
Mon 02.09.2024 time 17:00 - 20:15
(3 h 15 min)
Automaatiotekniikan matematiikka 1 TX00DS30-3010
Online
Mon 23.09.2024 time 17:00 - 20:15
(3 h 15 min)
Automaatiotekniikan matematiikka 1 TX00DS30-3010
Online
Tue 22.10.2024 time 17:00 - 20:15
(3 h 15 min)
Automaatiotekniikan matematiikka 1 TX00DS30-3010
Online
Wed 06.11.2024 time 17:00 - 20:15
(3 h 15 min)
Automaatiotekniikan matematiikka 1 TX00DS30-3010
Online
Tue 12.11.2024 time 17:00 - 20:15
(3 h 15 min)
Automaatiotekniikan matematiikka 1 TX00DS30-3010
Online
Wed 11.12.2024 time 17:00 - 20:15
(3 h 15 min)
Koe, Automaatiotekniikan matematiikka 1 TX00DS30-3010
MMC232 IT-Tila, CAD
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

Materials

Oma -> dokumentit

Teaching methods

Etäopetus

Student workload

Kurssi 5 op.
1 op vastaa noin 27h opiskelua

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

Arviointi perustuu onnistumiseen kotitehtävissä ja kokeessa

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