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Mathematics of Automation 2 (5 cr)

Code: TX00DS97-3010

General information


Enrollment
02.12.2024 - 31.12.2024
Registration for the implementation has ended.
Timing
13.01.2025 - 16.03.2025
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
SA23S
Automaatiotekniikan pääaine, syksyllä 2023 aloittaneet päiväopiskelijat
Course
TX00DS97

Implementation has 24 reservations. Total duration of reservations is 54 h 0 min.

Time Topic Location
Wed 15.01.2025 time 11:00 - 14:00
(3 h 0 min)
Automaatiotekniikan matematiikka 2 TX00DS97-3010
MMB101 Auditorio 1 krs.
Fri 17.01.2025 time 10:00 - 12:00
(2 h 0 min)
Automaatiotekniikan matematiikka 2 TX00DS97-3010
MMA215 Oppimistila
Fri 17.01.2025 time 14:00 - 16:00
(2 h 0 min)
Automaatiotekniikan matematiikka 2 TX00DS97-3010
MMA215 Oppimistila
Wed 22.01.2025 time 11:00 - 14:00
(3 h 0 min)
Automaatiotekniikan matematiikka 2 TX00DS97-3010
MMB101 Auditorio 1 krs.
Fri 24.01.2025 time 10:00 - 12:00
(2 h 0 min)
Automaatiotekniikan matematiikka 2 TX00DS97-3010
MMA215 Oppimistila
Fri 24.01.2025 time 14:00 - 16:00
(2 h 0 min)
Automaatiotekniikan matematiikka 2 TX00DS97-3010
MMA215 Oppimistila
Wed 29.01.2025 time 11:00 - 14:00
(3 h 0 min)
Automaatiotekniikan matematiikka 2 TX00DS97-3010
MMB101 Auditorio 1 krs.
Thu 30.01.2025 time 11:00 - 13:00
(2 h 0 min)
Automaatiotekniikan matematiikka 2 TX00DS97-3010
MMA119 Oppimistila
Fri 31.01.2025 time 12:00 - 14:00
(2 h 0 min)
Automaatiotekniikan matematiikka 2 TX00DS97-3010
MMA215 Oppimistila
Tue 04.02.2025 time 11:00 - 13:00
(2 h 0 min)
Automaatiotekniikan matematiikka 2 TX00DS97-3010
MMB253 IT-Tila
Wed 05.02.2025 time 09:00 - 11:00
(2 h 0 min)
Automaatiotekniikan matematiikka 2 TX00DS97-3010
MMB253 IT-Tila
Wed 05.02.2025 time 11:00 - 14:00
(3 h 0 min)
Automaatiotekniikan matematiikka 2 TX00DS97-3010
MMB101 Auditorio 1 krs.
Wed 12.02.2025 time 11:00 - 14:00
(3 h 0 min)
Automaatiotekniikan matematiikka 2 TX00DS97-3010
MMB101 Auditorio 1 krs.
Thu 13.02.2025 time 11:00 - 13:00
(2 h 0 min)
Automaatiotekniikan matematiikka 2 TX00DS97-3010
MMA216 Oppimistila
Thu 13.02.2025 time 13:00 - 15:00
(2 h 0 min)
Automaatiotekniikan matematiikka 2 TX00DS97-3010
MMA215 Oppimistila
Wed 26.02.2025 time 11:00 - 12:00
(1 h 0 min)
Automaatiotekniikan matematiikka 2 TX00DS97-3010
MMB101 Auditorio 1 krs.
Fri 28.02.2025 time 10:00 - 12:00
(2 h 0 min)
Automaatiotekniikan matematiikka 2 TX00DS97-3010
MMA215 Oppimistila
Fri 28.02.2025 time 12:00 - 14:00
(2 h 0 min)
Automaatiotekniikan matematiikka 2 TX00DS97-3010
MMA215 Oppimistila
Wed 05.03.2025 time 11:00 - 14:00
(3 h 0 min)
Automaatiotekniikan matematiikka 2 TX00DS97-3010
MMB101 Auditorio 1 krs.
Fri 07.03.2025 time 10:00 - 12:00
(2 h 0 min)
Automaatiotekniikan matematiikka 2 TX00DS97-3010
MMA215 Oppimistila
Fri 07.03.2025 time 12:00 - 14:00
(2 h 0 min)
Automaatiotekniikan matematiikka 2 TX00DS97-3010
MMA215 Oppimistila
Wed 12.03.2025 time 11:00 - 14:00
(3 h 0 min)
Automaatiotekniikan matematiikka 2 TX00DS97-3010
MMB101 Auditorio 1 krs.
Fri 14.03.2025 time 10:00 - 12:00
(2 h 0 min)
Automaatiotekniikan matematiikka 2 TX00DS97-3010
MMB253 IT-Tila
Fri 14.03.2025 time 12:00 - 14:00
(2 h 0 min)
Automaatiotekniikan matematiikka 2 TX00DS97-3010
MMB331 IT-Tila, CAD
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

Materials

OMAssa jaettava materiaali
Verkkolähteet
Soveltuvat insinöörimatematiikan oppikirjat

Teaching methods

Oppitunnit (lähi)
Laskuharjoitukset (lähi)
Välitestit (lähi)

Student workload

1 op vastaa noin 27 tuntia opiskelijan työtä

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

24 p Palautettavat harjoitustehtävät (6 x 4 p)
12 p Välitesti 1
14 p Välitesti 2

Pisteet ja arvosanat:
• 44 – 50 = 5
• 37 – 44 = 4
• 30 – 37 = 3
• 24 – 30 = 2
• 17 – 24 = 1
• 0 – 17 = 0

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