Engineering Physics 1 (5 ECTS)
Code: TX00FL69-3003
General information
- Enrollment
- 05.05.2025 - 31.05.2025
- Registration for the implementation has ended.
- Timing
- 18.08.2025 - 14.12.2025
- The implementation has not yet started.
- Number of ECTS credits allocated
- 5 ECTS
- Mode of delivery
- On-campus
- Campus
- Leiritie 1
- Teaching languages
- English
- Seats
- 0 - 100
- Degree programmes
- Degree Programme in Electronics
- Degree Programme in Smart Automation
Implementation has 30 reservations. Total duration of reservations is 60 h 0 min.
Time | Topic | Location |
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Mon 25.08.2025 time 11:00 - 13:00 (2 h 0 min) |
Engineering Physics 1 TX00FL69-3003 |
MMA216
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Wed 27.08.2025 time 12:00 - 14:00 (2 h 0 min) |
Engineering Physics 1 TX00FL69-3003 |
MMA111a
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Mon 01.09.2025 time 11:00 - 13:00 (2 h 0 min) |
Engineering Physics 1 TX00FL69-3003 |
MMA216
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Wed 03.09.2025 time 12:00 - 14:00 (2 h 0 min) |
Engineering Physics 1 TX00FL69-3003 |
MMA111a
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Mon 08.09.2025 time 11:00 - 13:00 (2 h 0 min) |
Engineering Physics 1 TX00FL69-3003 |
MMA216
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Wed 10.09.2025 time 12:00 - 14:00 (2 h 0 min) |
Engineering Physics 1 TX00FL69-3003 |
MMA111a
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Mon 15.09.2025 time 11:00 - 13:00 (2 h 0 min) |
Engineering Physics 1 TX00FL69-3003 |
MMA216
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Wed 17.09.2025 time 12:00 - 14:00 (2 h 0 min) |
Engineering Physics 1 TX00FL69-3003 |
MMA111a
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Mon 22.09.2025 time 11:00 - 13:00 (2 h 0 min) |
Engineering Physics 1 TX00FL69-3003 |
MMA216
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Wed 24.09.2025 time 12:00 - 14:00 (2 h 0 min) |
Engineering Physics 1 TX00FL69-3003 |
MMA111a
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Mon 29.09.2025 time 11:00 - 13:00 (2 h 0 min) |
Engineering Physics 1 TX00FL69-3003 |
MMA216
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Wed 01.10.2025 time 12:00 - 14:00 (2 h 0 min) |
Engineering Physics 1 TX00FL69-3003 |
MMA111a
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Mon 06.10.2025 time 11:00 - 13:00 (2 h 0 min) |
Engineering Physics 1 TX00FL69-3003 |
MMA216
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Wed 08.10.2025 time 12:00 - 14:00 (2 h 0 min) |
Engineering Physics 1 TX00FL69-3003 |
MMA111a
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Mon 20.10.2025 time 11:00 - 13:00 (2 h 0 min) |
Engineering Physics 1 TX00FL69-3003 |
MMA216
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Wed 22.10.2025 time 10:00 - 12:00 (2 h 0 min) |
Engineering Physics 1 TX00FL69-3003 |
MMA219
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Mon 27.10.2025 time 11:00 - 13:00 (2 h 0 min) |
Engineering Physics 1 TX00FL69-3003 |
MMA216
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Wed 29.10.2025 time 10:00 - 12:00 (2 h 0 min) |
Engineering Physics 1 TX00FL69-3003 |
MMA219
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Mon 03.11.2025 time 11:00 - 13:00 (2 h 0 min) |
Engineering Physics 1 TX00FL69-3003 |
MMA216
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Wed 05.11.2025 time 10:00 - 12:00 (2 h 0 min) |
Engineering Physics 1 TX00FL69-3003 |
MMA219
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Mon 10.11.2025 time 11:00 - 13:00 (2 h 0 min) |
Engineering Physics 1 TX00FL69-3003 |
MMA216
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Wed 12.11.2025 time 10:00 - 12:00 (2 h 0 min) |
Engineering Physics 1 TX00FL69-3003 |
MMA219
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Mon 17.11.2025 time 11:00 - 13:00 (2 h 0 min) |
Engineering Physics 1 TX00FL69-3003 |
MMA216
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Wed 19.11.2025 time 10:00 - 12:00 (2 h 0 min) |
Engineering Physics 1 TX00FL69-3003 |
MMA219
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Mon 24.11.2025 time 11:00 - 13:00 (2 h 0 min) |
Engineering Physics 1 TX00FL69-3003 |
MMA216
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Wed 26.11.2025 time 10:00 - 12:00 (2 h 0 min) |
Engineering Physics 1 TX00FL69-3003 |
MMA219
Oppimistila
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Mon 01.12.2025 time 11:00 - 13:00 (2 h 0 min) |
Engineering Physics 1 TX00FL69-3003 |
MMA216
Oppimistila
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Wed 03.12.2025 time 10:00 - 12:00 (2 h 0 min) |
Engineering Physics 1 TX00FL69-3003 |
MMA219
Oppimistila
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Mon 08.12.2025 time 11:00 - 13:00 (2 h 0 min) |
Engineering Physics 1 TX00FL69-3003 |
MMA216
Oppimistila
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Wed 10.12.2025 time 10:00 - 12:00 (2 h 0 min) |
Engineering Physics 1 TX00FL69-3003 |
MMA219
Oppimistila
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Learning outcomes
After completion of the course the student
• knows the basics of mechanics
• is able to solve problems related to motion and energy.
Content
• Units, quantities and graphical presentation
• Kinematics
• Mechanics
Teaching methods
Interactive lessons at campus 3-4 hrs per week. No remote participation possibility. Attendance required.
Learning materials and recommended literature
OpenStax University Physics vol 1. Chapters 1-11.
pdf available in www.openstax.org
Alternative completion methods of implementation
Only if agreed with the teacher separately.
Internship and working life connections
None.
Exam dates and retake possibilities
Four mid-term exams at regular intervals. Re-exams only if agreed before the actual exam date. No chance to take re-exams to improve grade.
International connections
None.
Student workload
135 hrs in total, of which 50 hrs lessons and 85 hrs self-study with lesson refresh, homework and study for mid-term exams.
Content scheduling
Lessons on every week on the semester. Mid-term exams on four weeks interval.
Further information for students
None.
Assessment methods and criteria
Max 50 pts
Grade 5: 44 pts
Grade 4: 37 pts
Grade 3: 30 pts
Grade 2: 24 pts
Grade 1 (pass): 17 pts
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.