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Engineering Mathematics 1 (5 cr)

Code: TX00FL68-3002

General information


Enrollment
31.12.2024 - 01.01.2025
Registration for the implementation has ended.
Timing
19.08.2024 - 15.12.2024
Implementation has ended.
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
Degree programmes
Degree Programme in Smart Automation
Degree Programme in Electronics
Teachers
Tatu Suomi
Groups
Distant_S24
Myyrmäki Engineering degrees distant teaching Autumn 2024
Course
TX00FL68

Implementation has 15 reservations. Total duration of reservations is 60 h 0 min.

Time Topic Location
Fri 23.08.2024 time 08:00 - 12:00
(4 h 0 min)
Engineering Mathematics 1 TX00FL68-3002
https://metropolia.zoom.us/j/6365550008
Fri 30.08.2024 time 08:00 - 12:00
(4 h 0 min)
Engineering Mathematics 1 TX00FL68-3002
Online
Fri 06.09.2024 time 08:00 - 12:00
(4 h 0 min)
Engineering Mathematics 1 TX00FL68-3002
Online
Fri 13.09.2024 time 08:00 - 12:00
(4 h 0 min)
Engineering Mathematics 1 TX00FL68-3002
Online
Fri 20.09.2024 time 08:00 - 12:00
(4 h 0 min)
Engineering Mathematics 1 TX00FL68-3002
Online
Fri 27.09.2024 time 08:00 - 12:00
(4 h 0 min)
Engineering Mathematics 1 TX00FL68-3002
Online
Fri 04.10.2024 time 08:00 - 12:00
(4 h 0 min)
Engineering Mathematics 1 TX00FL68-3002
Online
Fri 11.10.2024 time 08:00 - 12:00
(4 h 0 min)
Engineering Mathematics 1 TX00FL68-3002
Online
Fri 25.10.2024 time 08:00 - 12:00
(4 h 0 min)
Engineering Mathematics 1 TX00FL68-3002
Online
Fri 01.11.2024 time 08:00 - 12:00
(4 h 0 min)
Engineering Mathematics 1 TX00FL68-3002
Online
Fri 08.11.2024 time 08:00 - 12:00
(4 h 0 min)
Engineering Mathematics 1 TX00FL68-3002
Online
Fri 15.11.2024 time 08:00 - 12:00
(4 h 0 min)
Engineering Mathematics 1 TX00FL68-3002
Online
Fri 22.11.2024 time 08:00 - 12:00
(4 h 0 min)
Engineering Mathematics 1 TX00FL68-3002
Online
Fri 29.11.2024 time 08:00 - 12:00
(4 h 0 min)
Engineering Mathematics 1 TX00FL68-3002
Online
Fri 13.12.2024 time 08:00 - 12:00
(4 h 0 min)
Engineering Mathematics 1 TX00FL68-3002
Online
Changes to reservations may be possible.

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

Location and time

Online according schedule

Materials

TBA in the beginning of the course

Teaching methods

Online teaching

Exam schedules

TBA in the beginning of the course

Completion alternatives

-

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 and assignment

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