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Advanced Engineering Mathematics 1 (5 ECTS)

Code: TX00FL78-3002

General information


Enrollment
05.05.2025 - 06.06.2025
Enrollment is ongoing
Enroll to the implementation in OMA
Timing
25.08.2025 - 19.10.2025
The implementation has not yet started.
Number of ECTS credits allocated
5 ECTS
Mode of delivery
On-campus
Unit
(2019-2024) School of Smart and Clean Solutions
Teaching languages
English
Degree programmes
Degree Programme in Electronics
Teachers
Erna Piila
Groups
SE24S
Elektroniikan pääaine,syksyllä 2024 aloittaneet
TXD24S1
Degree Programme in Electronics päivä
SE24K
Elektroniikan pääaine, keväällä 2024 aloittaneet
Course
TX00FL78

Implementation has 30 reservations. Total duration of reservations is 60 h 0 min.

Time Topic Location
Tue 26.08.2025 time 10:00 - 12:00
(2 h 0 min)
Advanced Engineering Mathematics 1 TX00FL78-3002
MMA115 Oppimistila
Thu 28.08.2025 time 14:00 - 16:00
(2 h 0 min)
Advanced Engineering Mathematics 1 TX00FL78-3002
MMA115 Oppimistila
Tue 02.09.2025 time 10:00 - 12:00
(2 h 0 min)
Advanced Engineering Mathematics 1 TX00FL78-3002
MMA115 Oppimistila
Thu 04.09.2025 time 14:00 - 16:00
(2 h 0 min)
Advanced Engineering Mathematics 1 TX00FL78-3002
MMA115 Oppimistila
Tue 09.09.2025 time 10:00 - 12:00
(2 h 0 min)
Advanced Engineering Mathematics 1 TX00FL78-3002
MMA115 Oppimistila
Thu 11.09.2025 time 14:00 - 16:00
(2 h 0 min)
Advanced Engineering Mathematics 1 TX00FL78-3002
MMA115 Oppimistila
Tue 16.09.2025 time 10:00 - 12:00
(2 h 0 min)
Advanced Engineering Mathematics 1 TX00FL78-3002
MMA115 Oppimistila
Thu 18.09.2025 time 14:00 - 16:00
(2 h 0 min)
Advanced Engineering Mathematics 1 TX00FL78-3002
MMA115 Oppimistila
Tue 23.09.2025 time 10:00 - 12:00
(2 h 0 min)
Advanced Engineering Mathematics 1 TX00FL78-3002
MMA115 Oppimistila
Thu 25.09.2025 time 14:00 - 16:00
(2 h 0 min)
Advanced Engineering Mathematics 1 TX00FL78-3002
MMA115 Oppimistila
Tue 30.09.2025 time 10:00 - 12:00
(2 h 0 min)
Advanced Engineering Mathematics 1 TX00FL78-3002
MMA115 Oppimistila
Thu 02.10.2025 time 14:00 - 16:00
(2 h 0 min)
Advanced Engineering Mathematics 1 TX00FL78-3002
MMA115 Oppimistila
Tue 07.10.2025 time 10:00 - 12:00
(2 h 0 min)
Advanced Engineering Mathematics 1 TX00FL78-3002
MMA115 Oppimistila
Thu 09.10.2025 time 14:00 - 16:00
(2 h 0 min)
Advanced Engineering Mathematics 1 TX00FL78-3002
MMA115 Oppimistila
Tue 21.10.2025 time 10:00 - 12:00
(2 h 0 min)
Advanced Engineering Mathematics 1 TX00FL78-3002
MMA115 Oppimistila
Thu 23.10.2025 time 15:00 - 17:00
(2 h 0 min)
Advanced Engineering Mathematics 1 TX00FL78-3002
MMA115 Oppimistila
Tue 28.10.2025 time 10:00 - 12:00
(2 h 0 min)
Advanced Engineering Mathematics 1 TX00FL78-3002
MMA115 Oppimistila
Thu 30.10.2025 time 15:00 - 17:00
(2 h 0 min)
Advanced Engineering Mathematics 1 TX00FL78-3002
MMA115 Oppimistila
Tue 04.11.2025 time 10:00 - 12:00
(2 h 0 min)
Advanced Engineering Mathematics 1 TX00FL78-3002
MMA115 Oppimistila
Thu 06.11.2025 time 15:00 - 17:00
(2 h 0 min)
Advanced Engineering Mathematics 1 TX00FL78-3002
MMA115 Oppimistila
Tue 11.11.2025 time 10:00 - 12:00
(2 h 0 min)
Advanced Engineering Mathematics 1 TX00FL78-3002
MMA115 Oppimistila
Thu 13.11.2025 time 15:00 - 17:00
(2 h 0 min)
Advanced Engineering Mathematics 1 TX00FL78-3002
MMA115 Oppimistila
Tue 18.11.2025 time 10:00 - 12:00
(2 h 0 min)
Advanced Engineering Mathematics 1 TX00FL78-3002
MMA115 Oppimistila
Thu 20.11.2025 time 15:00 - 17:00
(2 h 0 min)
Advanced Engineering Mathematics 1 TX00FL78-3002
MMA115 Oppimistila
Tue 25.11.2025 time 10:00 - 12:00
(2 h 0 min)
Advanced Engineering Mathematics 1 TX00FL78-3002
MMA115 Oppimistila
Thu 27.11.2025 time 15:00 - 17:00
(2 h 0 min)
Advanced Engineering Mathematics 1 TX00FL78-3002
MMA115 Oppimistila
Tue 02.12.2025 time 10:00 - 12:00
(2 h 0 min)
Advanced Engineering Mathematics 1 TX00FL78-3002
MMA115 Oppimistila
Thu 04.12.2025 time 15:00 - 17:00
(2 h 0 min)
Advanced Engineering Mathematics 1 TX00FL78-3002
MMA115 Oppimistila
Tue 09.12.2025 time 10:00 - 12:00
(2 h 0 min)
Advanced Engineering Mathematics 1 TX00FL78-3002
MMA115 Oppimistila
Thu 11.12.2025 time 15:00 - 17:00
(2 h 0 min)
Advanced Engineering Mathematics 1 TX00FL78-3002
MMA115 Oppimistila
Changes to reservations may be possible.

Objective

After completion of the course, the student
• understands the connection between differential and integral calculus and has a basic understanding of definite integrals as the limit of the Riemann-sum (simplified version with even partitions)
• can solve first order linear and separable ODEs
• is familiar with both Laplace transforms and inverse Laplace transforms and understands the difference between t- and s-domain
• knows how to solve ODEs using Laplace transforms, often seen in situations where said ODEs have arisen from problems relating to electrical circuits.

Content

• Integral calculus
• First and second order separable and linear ordinary differential equations (ODEs)
• Laplace transform

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

Assessment based on in-class tests and homework assignments.

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

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