Skip to main content

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
TXX24S1
Degree Programme in Smart Automation, päivä
TXD24S1
Degree Programme in Electronics päivä
TXT24S1
Degree Programme in Automotive Electrics päivä
SE24S
Elektroniikan 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
Changes to reservations may be possible.

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

Go back to top of page