Engineering Mathematics 1 (5 cr)
Code: TX00FL68-3005
General information
- Enrollment
-
21.12.2024 - 19.01.2025
Registration for the implementation has ended.
- Timing
-
20.01.2025 - 23.03.2025
Implementation has ended.
- Number of ECTS credits allocated
- 5 cr
- Local portion
- 5 cr
- Mode of delivery
- On-campus
- Unit
- (2019-2024) School of Smart and Clean Solutions
- Campus
- Leiritie 1
- Teaching languages
- English
- Teachers
- Anssi Ikonen
- Tatu Suomi
- Groups
-
Techpath25Metropolia Tech Pathway Students 2025
- Course
- TX00FL68
Implementation has 14 reservations. Total duration of reservations is 40 h 0 min.
| Time | Topic | Location |
|---|---|---|
|
Mon 20.01.2025 time 12:00 - 14:00 (2 h 0 min) |
Engineering Mathematics 1 TX00FL68-3005 |
MMA207
Oppimistila
|
|
Mon 20.01.2025 time 14:00 - 16:00 (2 h 0 min) |
Engineering Mathematics 1 TX00FL68-3005 |
https://metropolia.zoom.us/j/6365550008
|
|
Tue 21.01.2025 time 12:00 - 14:00 (2 h 0 min) |
Engineering Mathematics 1 TX00FL68-3005 |
MMB330
IT-Tila
|
|
Mon 27.01.2025 time 12:00 - 16:00 (4 h 0 min) |
Engineering Mathematics 1 TX00FL68-3005 |
MMA207
Oppimistila
|
|
Tue 28.01.2025 time 12:00 - 14:00 (2 h 0 min) |
Engineering Mathematics 1 TX00FL68-3005 |
MMA111a
Oppimistila
|
|
Mon 03.02.2025 time 12:00 - 16:00 (4 h 0 min) |
Engineering Mathematics 1 TX00FL68-3005 |
MMA207
Oppimistila
|
|
Mon 10.02.2025 time 12:00 - 16:00 (4 h 0 min) |
Engineering Mathematics 1 TX00FL68-3005 |
MMA207
Oppimistila
|
|
Tue 11.02.2025 time 12:00 - 14:00 (2 h 0 min) |
Engineering Mathematics 1 TX00FL68-3005 |
MMA111a
Oppimistila
|
|
Mon 24.02.2025 time 12:00 - 16:00 (4 h 0 min) |
Engineering Mathematics 1 TX00FL68-3005 |
|
|
Tue 25.02.2025 time 12:00 - 14:00 (2 h 0 min) |
Engineering Mathematics 1 TX00FL68-3005 |
MMA111a
Oppimistila
|
|
Mon 03.03.2025 time 12:00 - 16:00 (4 h 0 min) |
Engineering Mathematics 1 TX00FL68-3005 |
MMA207
Oppimistila
|
|
Tue 04.03.2025 time 12:00 - 14:00 (2 h 0 min) |
Engineering Mathematics 1 TX00FL68-3005 |
MMA111a
Oppimistila
|
|
Mon 10.03.2025 time 12:00 - 16:00 (4 h 0 min) |
Engineering Mathematics 1 TX00FL68-3005 |
MMA207
Oppimistila
|
|
Tue 11.03.2025 time 12:00 - 14:00 (2 h 0 min) |
Engineering Mathematics 1 TX00FL68-3005 |
MMB253
IT-Tila
|
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
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.