Mathematics of Electrical Engineering (5 ECTS)
Code: TX00FA03-3002
General information
- Enrollment
- 01.05.2023 - 31.05.2023
- Registration for the implementation has ended.
- Timing
- 21.08.2023 - 15.10.2023
- Implementation has ended.
- Number of ECTS credits allocated
- 5 ECTS
- Mode of delivery
- On-campus
- Unit
- (2019-2024) Team Smart
- Campus
- Leiritie 1
- Teaching languages
- Finnish
- Degree programmes
- Electrical and Automation Engineering
- Teachers
- Henna Ruusu
- Groups
-
SV22SSähkövoimatekniikan pääaine, syksyllä 2022 aloittaneet
- Course
- TX00FA03
Implementation has 28 reservations. Total duration of reservations is 63 h 45 min.
Time | Topic | Location |
---|---|---|
Mon 21.08.2023 time 12:00 - 16:00 (4 h 0 min) |
Sähkötekniikan matematiikka TX00FA03-3002 |
MMB235
Fysiikan Demolaboratorio
|
Thu 24.08.2023 time 11:00 - 13:00 (2 h 0 min) |
Sähkötekniikan matematiikka TX00FA03-3002 |
MMA226
Oppimistila
|
Thu 24.08.2023 time 15:00 - 17:00 (2 h 0 min) |
Sähkötekniikan matematiikka TX00FA03-3002 |
MMC312
Oppimistila
|
Mon 28.08.2023 time 12:00 - 16:00 (4 h 0 min) |
Sähkötekniikan matematiikka TX00FA03-3002 |
MMB235
Fysiikan Demolaboratorio
|
Thu 31.08.2023 time 11:00 - 13:00 (2 h 0 min) |
Sähkötekniikan matematiikka TX00FA03-3002 |
MMA226
Oppimistila
|
Thu 31.08.2023 time 15:00 - 17:00 (2 h 0 min) |
Sähkötekniikan matematiikka TX00FA03-3002 |
MMC312
Oppimistila
|
Mon 04.09.2023 time 13:00 - 14:00 (1 h 0 min) |
Sähkötekniikan matematiikka TX00FA03-3002 |
MMC345
Oppimistila
|
Mon 04.09.2023 time 14:00 - 15:00 (1 h 0 min) |
Sähkötekniikan matematiikka TX00FA03-3002 |
MMB301
Auditorio 3 krs.
|
Tue 05.09.2023 time 09:00 - 11:00 (2 h 0 min) |
Sähkötekniikan matematiikka TX00FA03-3002 |
MMA226
Oppimistila
|
Tue 05.09.2023 time 15:00 - 17:00 (2 h 0 min) |
Sähkötekniikan matematiikka TX00FA03-3002 |
MMC312
Oppimistila
|
Fri 08.09.2023 time 13:00 - 15:00 (2 h 0 min) |
Sähkötekniikan matematiikka TX00FA03-3002 |
MMB101
Auditorio 1 krs.
|
Mon 11.09.2023 time 12:00 - 16:00 (4 h 0 min) |
Sähkötekniikan matematiikka TX00FA03-3002 |
MMB235
Fysiikan Demolaboratorio
|
Thu 14.09.2023 time 11:00 - 13:00 (2 h 0 min) |
Sähkötekniikan matematiikka TX00FA03-3002 |
MMA226
Oppimistila
|
Thu 14.09.2023 time 15:00 - 17:00 (2 h 0 min) |
Sähkötekniikan matematiikka TX00FA03-3002 |
MMA119
Oppimistila
|
Mon 18.09.2023 time 12:00 - 16:00 (4 h 0 min) |
Sähkötekniikan matematiikka TX00FA03-3002 |
MMB235
Fysiikan Demolaboratorio
|
Thu 21.09.2023 time 11:00 - 12:00 (1 h 0 min) |
Sähkötekniikan matematiikka TX00FA03-3002 |
MMA238.2
Oppimistila
|
Thu 21.09.2023 time 12:00 - 13:15 (1 h 15 min) |
Sähkötekniikan matematiikka TX00FA03-3002 KOE 2 |
MMC230
Oppimistila
|
Mon 25.09.2023 time 12:00 - 16:00 (4 h 0 min) |
Sähkötekniikan matematiikka TX00FA03-3002 |
MMB235
Fysiikan Demolaboratorio
|
Tue 26.09.2023 time 13:00 - 14:30 (1 h 30 min) |
Kertaus rästikokeeseen perusasioista Sähkötekniikan matematiikka TX00FA03-3002 |
MMC235
Pienryhmätila
|
Thu 28.09.2023 time 11:00 - 12:45 (1 h 45 min) |
Sähkötekniikan matematiikka TX00FA03-3002 |
MMA226
Oppimistila
|
Thu 28.09.2023 time 12:45 - 14:00 (1 h 15 min) |
Rästikoe 1 Sähkötekniikan matematiikka TX00FA03-3002 |
MMA218
Oppimistila
|
Thu 28.09.2023 time 15:00 - 17:00 (2 h 0 min) |
Sähkötekniikan matematiikka TX00FA03-3002 |
MMC312
Oppimistila
|
Mon 02.10.2023 time 12:00 - 16:00 (4 h 0 min) |
Sähkötekniikan matematiikka TX00FA03-3002 |
MMB235
Fysiikan Demolaboratorio
|
Thu 05.10.2023 time 11:00 - 13:00 (2 h 0 min) |
Sähkötekniikan matematiikka TX00FA03-3002 |
MMA226
Oppimistila
|
Thu 05.10.2023 time 15:00 - 17:00 (2 h 0 min) |
Sähkötekniikan matematiikka TX00FA03-3002 |
MMC312
Oppimistila
|
Mon 09.10.2023 time 12:00 - 14:15 (2 h 15 min) |
Sähkötekniikan matematiikka TX00FA03-3002 |
MMB235
Fysiikan Demolaboratorio
|
Mon 09.10.2023 time 14:15 - 16:00 (1 h 45 min) |
Sähkötekniikan matematiikka TX00FA03-3002 |
MMC345
Oppimistila
|
Thu 12.10.2023 time 11:00 - 14:00 (3 h 0 min) |
Sähkötekniikan matematiikka TX00FA03-3002 kokeen palautus + rästikoemahdollisuus |
MMA226
Oppimistila
|
Objective
Student knows the basics of integral calculus and is able to apply the knowledge in electrical applications.
- The student is able to integrate elementary functions.
- The student understands the geometric interpretation of definite integral and
- The student knows the connection between indefinite and definite integral.
- The student is able to use definite integrals in simple applications.
Student is able to form differential equations on electrical system applications. Student knows solving methods to first and second order differential equations.
Content
1. Integral calculus
- Definite integral
- Indefinite integral
- Fundamental theorem of calculus
- Improper integral
- Applications
2. Differential equations with electrical system applications
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.