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Engineering Mathematics 1 (5 cr)

Code: TX00FL68-3006

General information


Enrollment
05.05.2025 - 31.05.2025
Registration for implementation has not started yet.
Timing
18.08.2025 - 14.12.2025
The implementation has not yet started.
Number of ECTS credits allocated
5 cr
Local portion
5 cr
Mode of delivery
On-campus
Unit
School of Smart Solutions
Campus
Leiritie 1
Teaching languages
English
Seats
0 - 100
Degree programmes
Degree Programme in Laboratory Science
Degree Programme in Smart Automation
Degree Programme in Electronics
Teachers
Erna Piila
Teacher in charge
Anssi Ikonen
Groups
TXD25S1
Degree Programme in Electronics päivä
TXV25S1
Degree Programme in Laboratory Science, päivä
TXX25S1
Degree Programme in Smart Automation, päivä
Course
TX00FL68
No reservations found for implementation TX00FL68-3006!

Objective

After completing the course, the student
• can reduce expressions, equations and systems of equations in their future studies
• knows complex numbers and their applications
• knows how to use vectors in their studies.

Content

• Expressions, equations and systems of equations
• Concept of mathematical function
• Geometry and trigonometry
• Vectors, matrices and complex numbers

Materials

Oma -> documents

Teaching methods

Teaching on campus

Student workload

5 ECTS credits. 1 credit corresponds to approximately 27 hours of study.

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

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