Engineering Physics 1 (5 cr)
Code: TX00FL69-3001
General information
Enrollment
01.05.2024 - 31.05.2024
Timing
19.08.2024 - 15.12.2024
Number of ECTS credits allocated
5 op
Mode of delivery
Contact teaching
Unit
Smart Industry Team
Campus
Leiritie 1
Teaching languages
- English
Seats
0 - 100
Degree programmes
- Degree Programme in Smart Automation
- Degree Programme in Automotive Electrics
- Degree Programme in Electronics
Teachers
- Eero Kupila
Groups
-
TXX24S1Degree Programme in Smart Automation, päivä
-
TXD24S1Degree Programme in Electronics päivä
-
TXT24S1Degree Programme in Automotive Electrics päivä
Objective
After the course the student knows the basics of mechanics and is able to solve problems related to motion and energy.
Content
Units, quantities and graphical presentation
Kinematics
Mechanics
Location and time
3-4 hrs per week (1-2 sessions per week) according to calendar in Oma.
Weekly homework exercises that will impact evaluation (weight ~40% of total course).
Materials
OpenStax University Physics vol 1. Chapters 1-11.
pdf available in www.openstax.org
Teaching methods
Interactive lessons at campus 3-4 hrs per week. No remote participation possibility. Attendance required.
Employer connections
None.
Exam schedules
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.
Completion alternatives
Only if agreed with the teacher separately.
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
None.
Evaluation scale
0-5
Assessment criteria, satisfactory (1)
The student has achieved the course objectives fairly. The student will be able to identify, define and use the course subject area’s concepts and models. The student understands the criteria and principles of the expertise development. The student has completed the required learning exercises in minimum requirement level. His/her competences have developed in a way that he/she may complete the remaining studies in the degree and finally work in a suitable job position related to this field.
Assessment criteria, good (3)
The student has achieved the course objectives well, even though the knowledge and skills need improvement on some areas. The student has completed the required learning exercises in good or satisfactory level. The student is able to define the course concepts and models and is able to justify the analysis. The student is able to apply their knowledge in study and work situations. The student understands the importance of expertise in their field and is able to analyze his/her own expertise.
Assessment criteria, excellent (5)
The student has achieved the objectives of the course with excellent marks. The student master commendably the course subject area’s concepts and models. The student has completed the required learning exercises in good or excellent level. The student is able to make justified and fluent analysis and to present concrete development measures. The student is well prepared to apply their knowledge study and work situations. Students are able to analyze the expertise in their field and the evolvement of their own expertise.
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