Engineering Mathematics 2 (5 cr)
Code: TX00FL70-3001
General information
- Enrollment
-
02.12.2024 - 31.12.2024
Registration for the implementation has ended.
- Timing
-
13.01.2025 - 11.05.2025
Implementation is running.
- Number of ECTS credits allocated
- 5 cr
- Local portion
- 5 cr
- Mode of delivery
- On-campus
- Unit
- (2019-2024) Smart Industry Team
- Campus
- Leiritie 1
- Teaching languages
- English
- Seats
- 0 - 100
- Degree programmes
- Degree Programme in Automotive Electrics
- Degree Programme in Electronics
- Teachers
- Erna Piila
- Groups
-
TXX24S1Degree Programme in Smart Automation, päivä
-
TXD24S1Degree Programme in Electronics päivä
-
TXT24S1Degree Programme in Automotive Electrics päivä
-
SE24SElektroniikan pääaine,syksyllä 2024 aloittaneet
- Course
- TX00FL70
Implementation has 30 reservations. Total duration of reservations is 57 h 30 min.
Time | Topic | Location |
---|---|---|
Tue 14.01.2025 time 15:00 - 17:00 (2 h 0 min) |
Engineering Mathematics 2 TX00FL70-3001 |
MMC304
Oppimistila
|
Fri 17.01.2025 time 10:00 - 12:00 (2 h 0 min) |
Engineering Mathematics 2 TX00FL70-3001 |
MMC375
Oppimistila
|
Tue 21.01.2025 time 15:00 - 17:00 (2 h 0 min) |
Engineering Mathematics 2 TX00FL70-3001 |
MMC304
Oppimistila
|
Fri 24.01.2025 time 10:00 - 12:00 (2 h 0 min) |
Engineering Mathematics 2 TX00FL70-3001 |
MMC308
Oppimistila
|
Tue 28.01.2025 time 15:00 - 17:00 (2 h 0 min) |
Engineering Mathematics 2 TX00FL70-3001 |
MMC304
Oppimistila
|
Fri 31.01.2025 time 10:00 - 12:00 (2 h 0 min) |
Engineering Mathematics 2 TX00FL70-3001 |
MMC304
Oppimistila
|
Tue 04.02.2025 time 15:00 - 17:00 (2 h 0 min) |
Engineering Mathematics 2 TX00FL70-3001 |
MMC304
Oppimistila
|
Fri 07.02.2025 time 10:00 - 12:00 (2 h 0 min) |
Engineering Mathematics 2 TX00FL70-3001 |
MMB101
Auditorio 1 krs.
|
Tue 11.02.2025 time 15:00 - 17:00 (2 h 0 min) |
Engineering Mathematics 2 TX00FL70-3001 |
Zoom
|
Fri 14.02.2025 time 10:00 - 12:00 (2 h 0 min) |
Engineering Mathematics 2 TX00FL70-3001 |
MMC304
Oppimistila
|
Tue 25.02.2025 time 15:00 - 17:00 (2 h 0 min) |
Engineering Mathematics 2 TX00FL70-3001 |
MMC304
Oppimistila
|
Mon 03.03.2025 time 08:00 - 10:00 (2 h 0 min) |
Engineering Mathematics 2 TX00FL70-3001 |
MMA219
Oppimistila
|
Tue 04.03.2025 time 15:00 - 17:00 (2 h 0 min) |
Engineering Mathematics 2 TX00FL70-3001 |
MMC304
Oppimistila
|
Tue 11.03.2025 time 15:00 - 17:00 (2 h 0 min) |
Engineering Mathematics 2 TX00FL70-3001 |
MMC304
Oppimistila
|
Fri 14.03.2025 time 10:00 - 12:00 (2 h 0 min) |
Engineering Mathematics 2 TX00FL70-3001 |
MMC308
Oppimistila
|
Tue 18.03.2025 time 14:00 - 16:00 (2 h 0 min) |
Engineering Mathematics 2 TX00FL70-3001 |
Zoom
|
Fri 21.03.2025 time 08:00 - 10:00 (2 h 0 min) |
Engineering Mathematics 2 TX00FL70-3001 |
Zoom
|
Tue 25.03.2025 time 14:00 - 16:00 (2 h 0 min) |
Engineering Mathematics 2 TX00FL70-3001 |
MMC304
Oppimistila
|
Fri 28.03.2025 time 08:00 - 10:00 (2 h 0 min) |
Engineering Mathematics 2 TX00FL70-3001 |
MMA216
Oppimistila
|
Tue 01.04.2025 time 14:00 - 16:00 (2 h 0 min) |
Engineering Mathematics 2 TX00FL70-3001 |
MMC304
Oppimistila
|
Fri 04.04.2025 time 08:30 - 10:00 (1 h 30 min) |
Engineering Mathematics 2 TX00FL70-3001 |
MMA216
Oppimistila
|
Tue 08.04.2025 time 14:00 - 16:00 (2 h 0 min) |
Engineering Mathematics 2 TX00FL70-3001 |
MMC304
Oppimistila
|
Fri 11.04.2025 time 08:30 - 10:00 (1 h 30 min) |
Engineering Mathematics 2 TX00FL70-3001 |
MMA216
Oppimistila
|
Tue 15.04.2025 time 14:00 - 16:00 (2 h 0 min) |
Engineering Mathematics 2 TX00FL70-3001 |
MMC304
Oppimistila
|
Tue 22.04.2025 time 14:00 - 16:00 (2 h 0 min) |
Engineering Mathematics 2 TX00FL70-3001 |
MMC304
Oppimistila
|
Fri 25.04.2025 time 08:30 - 10:00 (1 h 30 min) |
Engineering Mathematics 2 TX00FL70-3001 |
MMA216
Oppimistila
|
Tue 29.04.2025 time 14:00 - 16:00 (2 h 0 min) |
Engineering Mathematics 2 TX00FL70-3001 |
MMC304
Oppimistila
|
Fri 02.05.2025 time 08:30 - 10:00 (1 h 30 min) |
Engineering Mathematics 2 TX00FL70-3001 |
MMA216
Oppimistila
|
Tue 06.05.2025 time 14:00 - 16:00 (2 h 0 min) |
Engineering Mathematics 2 TX00FL70-3001 |
MMC304
Oppimistila
|
Fri 09.05.2025 time 08:30 - 10:00 (1 h 30 min) |
Engineering Mathematics 2 TX00FL70-3001 |
MMA216
Oppimistila
|
Objective
After completing the course the student
• is familiar with the concept of mathematical function and knows the most important functions
• is able to use differential calculus in their subsequent studies in physics and professional studies.
Content
• Functions
• Differential calculus and introduction to integral calculus
Materials
Lecture notes/slides shared in Oma-workspace
Additional reading (not mandatory): Engineering Mathematics by John Bird, also shared in Oma
Teaching methods
Lectures 4 hours/week
Individual study
Student workload
Lectures and tests 4 hours/week
Individual study approximately 4-5 hours/week
Evaluation scale
0-5
Assessment criteria, satisfactory (1)
The student
• has achieved the objectives of the course to a satisfactory level
• is able to identify, define and use concepts and models in the subject area of the course
• understands the conditions and principles of the development of expertise
• has completed the learning tasks required for the course to the minimum standard
• has developed their competences in such a way that they will be able to complete their future professional studies and eventually work in the field.
Assessment criteria, good (3)
The student
• has achieved the objectives of the course well, although there are still areas where knowledge and skills need to be improved
• has completed the learning tasks of the course at a satisfactory or good level
• has a good understanding of the concepts and models of the subject matter of the course and is able to carry out a reasoned analysis
• is able to apply what they have learned in learning and working situations
• understands the importance of expertise in the field and is able to analyse their own expertise.
Assessment criteria, excellent (5)
The student
• has achieved the objectives of the course with excellent marks
• has completed the learning tasks of the course at a good or excellent level
• has an excellent command of the concepts and models of the subject matter of the course
• is able to analyse clearly and reasonably and propose practical development measures
• has a good ability to apply what they have learned in learning and working situations
• is able to analyse their expertise in their field and their own development towards expertise.
Assessment methods and criteria
Maximum points 50. Point limits:
Points --------------------- Grade
0-20 ---------------------------- 0
21-26 --------------------------- 1
27-32 --------------------------- 2
33-38 --------------------------- 3
39-44 -------------------------- 4
45-50 --------------------------- 5