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Mathematics of Automation 2 (5 cr)

Code: TX00DS97-3008

General information


Enrollment
27.11.2023 - 31.12.2023
Registration for the implementation has ended.
Timing
15.01.2024 - 15.03.2024
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
Tatu Suomi
Teacher in charge
Raisa Kallio
Groups
SA22S
Automaatiotekniikan pääaine, syksyllä 2022 aloittaneet päiväopiskelijat
Course
TX00DS97

Implementation has 24 reservations. Total duration of reservations is 56 h 0 min.

Time Topic Location
Mon 15.01.2024 time 11:00 - 14:00
(3 h 0 min)
Automaatiotekniikan matematiikka 2 TX00DS97-3008
MMB301 Auditorio 3 krs.
Tue 16.01.2024 time 12:00 - 14:00
(2 h 0 min)
Automaatiotekniikan matematiikka 2 TX00DS97-3008
MMB349 IT-Tila
Thu 18.01.2024 time 12:00 - 14:00
(2 h 0 min)
Automaatiotekniikan matematiikka 2 TX00DS97-3008
MMB253 IT-Tila
Mon 22.01.2024 time 11:00 - 14:00
(3 h 0 min)
Automaatiotekniikan matematiikka 2 TX00DS97-3008
MMB301 Auditorio 3 krs.
Tue 23.01.2024 time 12:00 - 14:00
(2 h 0 min)
Automaatiotekniikan matematiikka 2 TX00DS97-3008
MMB349 IT-Tila
Thu 25.01.2024 time 12:00 - 14:00
(2 h 0 min)
Automaatiotekniikan matematiikka 2 TX00DS97-3008
MMB253 IT-Tila
Mon 29.01.2024 time 11:00 - 14:00
(3 h 0 min)
Automaatiotekniikan matematiikka 2 TX00DS97-3008
MMB301 Auditorio 3 krs.
Tue 30.01.2024 time 12:00 - 14:00
(2 h 0 min)
Automaatiotekniikan matematiikka 2 TX00DS97-3008
MMB349 IT-Tila
Thu 01.02.2024 time 12:00 - 14:00
(2 h 0 min)
Automaatiotekniikan matematiikka 2 TX00DS97-3008
MMB253 IT-Tila
Mon 05.02.2024 time 11:00 - 14:00
(3 h 0 min)
Automaatiotekniikan matematiikka 2 TX00DS97-3008
MMB301 Auditorio 3 krs.
Tue 06.02.2024 time 12:00 - 14:00
(2 h 0 min)
Automaatiotekniikan matematiikka 2 TX00DS97-3008
MMB349 IT-Tila
Thu 08.02.2024 time 12:00 - 14:00
(2 h 0 min)
Automaatiotekniikan matematiikka 2 TX00DS97-3008
MMB253 IT-Tila
Mon 12.02.2024 time 11:00 - 14:00
(3 h 0 min)
Automaatiotekniikan matematiikka 2 TX00DS97-3008
MMB301 Auditorio 3 krs.
Tue 13.02.2024 time 12:00 - 14:00
(2 h 0 min)
Automaatiotekniikan matematiikka 2 TX00DS97-3008
MMB349 IT-Tila
Thu 15.02.2024 time 12:00 - 14:00
(2 h 0 min)
Automaatiotekniikan matematiikka 2 TX00DS97-3008
MMB253 IT-Tila
Mon 26.02.2024 time 11:00 - 14:00
(3 h 0 min)
Automaatiotekniikan matematiikka 2 TX00DS97-3008
MMB301 Auditorio 3 krs.
Tue 27.02.2024 time 12:00 - 14:00
(2 h 0 min)
Automaatiotekniikan matematiikka 2 TX00DS97-3008
MMB349 IT-Tila
Thu 29.02.2024 time 12:00 - 14:00
(2 h 0 min)
Automaatiotekniikan matematiikka 2 TX00DS97-3008
MMB253 IT-Tila
Mon 04.03.2024 time 11:00 - 14:00
(3 h 0 min)
Automaatiotekniikan matematiikka 2 TX00DS97-3008
MMB301 Auditorio 3 krs.
Tue 05.03.2024 time 12:00 - 14:00
(2 h 0 min)
Automaatiotekniikan matematiikka 2 TX00DS97-3008
MMB349 IT-Tila
Thu 07.03.2024 time 12:00 - 14:00
(2 h 0 min)
Automaatiotekniikan matematiikka 2 TX00DS97-3008
MMB253 IT-Tila
Mon 11.03.2024 time 11:00 - 14:00
(3 h 0 min)
Automaatiotekniikan matematiikka 2 TX00DS97-3008
MMB301 Auditorio 3 krs.
Tue 12.03.2024 time 12:00 - 14:00
(2 h 0 min)
Automaatiotekniikan matematiikka 2 TX00DS97-3008
MMB349 IT-Tila
Thu 14.03.2024 time 12:00 - 14:00
(2 h 0 min)
Automaatiotekniikan matematiikka 2 TX00DS97-3008
MMB253 IT-Tila
Changes to reservations may be possible.

Objective

After the course the student is familiar with basics of integral calculus. The student is able to use differential calculus in his or her subsequent studies in physics and professional studies.
Student is familiar with basics of integral transforms and is able to use them in his or her professional studies.
Student can form ordinary differential equations and solve them both analytical and with numerical methods.
Students is able to use mathematical software in courses subjects.

Content

1. Integral calculus
2. Integral Transforms and applications in automation engineering
3. Basics of differential equations

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.

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