Phys1 Force and Motion (3 cr)
Code: TZLF1300-3067
General information
Enrollment
01.08.2022 - 25.08.2022
Timing
29.08.2022 - 28.10.2022
Number of ECTS credits allocated
3 op
Mode of delivery
Face-to-face
Unit
School of Technology
Teaching languages
- Finnish
Seats
0 - 60
Degree programmes
- Bachelor's Degree Programme in Logistics
- Bachelor's Degree Programme in Construction and Civil Engineering
- Bachelor's Degree Programme in Electrical and Automation Engineering
- Bachelor's Degree Programme in Energy and Environmental Technology
- Bachelor's Degree Programme in Mechanical Engineering
- Bachelor's Degree Programme in Information and Communications Technology
- Bachelor's Degree Programme in Purchasing and Logistics Engineering
- Bachelor's Degree Programme in Information and Communications Technology
Teachers
- Ville Kotimäki
Scheduling groups
- Päiväryhmä TER22S1 (Capacity: 50. Open UAS: 0.)
- Monimuotoryhmä TER22SM (Capacity: 50. Open UAS: 0.)
Groups
-
TER22S1Energia- ja ympäristötekniikka (AMK)
-
TER22SMEnergia- ja ympäristötekniikka (AMK)
Small groups
- Pienryhmä 1
- Pienryhmä 2
Objectives
Purpose:
You will learn the basic concepts of kinematics and dynamics. You will also learn logical thinking and problem solving strategies.
EUR-ACE Competences:
Knowledge and understanding
Learning outcomes:
After completing this course you are able to identify the basic principles of kinematics and dynamics.
Content
SI-units, scalars, vectors, uniformly accelerated one dimensional motion, projectile motion, Newton's laws, mechanical forces, uniform circular motion, rotational motion, torque and moment of inertia.
Learning materials and recommended literature
Kurssilla käytetään opettajan tekemiä videoita sekä pdf-muotoista materiaaleja.
Seuraavat kirjat sisältävät kurssilla käsiteltäviä aiheita:
1.) Young, Hugh D.; Freedman, Roger A. University Physics with Modern Physics. International edition.
2.) Knight, Randal D. Physics for Scientists and Engineers. Pearson International edition.
3.) Suvanto, K. Tekniikan Fysiikka 1. Edita.
Mitkä tahansa painokset kelpaavat.
Teaching methods
Kurssi koostuu perinteisestä luento-opetuksesta, opetusvideoiden katselusta sekä laskuharjoitusten laskemisesta. Luennoista tulee tallenteet.
Exam dates and retake possibilities
Kurssin koeaikataulut ilmoitetaan ensimmäisellä luennolla.
Student workload
48 h kontaktiopetusta
5 h loppukoe
28 h itsenäistä opiskelua
Further information for students
Kurssi arvioidaan harjoitustehtävien sekä kokeiden perusteella.
Evaluation scale
0-5
Evaluation criteria, satisfactory (1-2)
Sufficient 1
You are able to recognize phenomena and the models attached to the field of the course.
You can solve simple course related problems. You can read different kinds of tables and graphs to get the right information. Your calculations may have some mistakes.
Satisfactory 2
You are able to understand phenomena and the models attached to the field of the course.
You can solve basic problems with the help of examples. You can read different kinds of tables and graphs to get the right information. Your calculations may have some mistakes.
Evaluation criteria, good (3-4)
Good 3
You are able to understand phenomena and the models attached to the field of the course.
You can solve basic problems. You can read different kinds of tables and graphs and you are also able to produce them yourself. Your calculations may have some mistakes.
Very good 4
You are able to understand phenomena and the models attached to the field of the course.
You can solve challenging problems. You can read different kinds of tables and graphs and you are able to produce them yourself. You are also able to evaluate the assumptions and applicabilities of the models you are using. Your calculations are mainly right.
Evaluation criteria, excellent (5)
Excellent 5
You are able to understand phenomena and the models attached to the field of the course.
You can solve challenging problems. You can read different kinds of tables and graphs and you are able to make make them yourself. You are also able to evaluate the assumptions and applicabilities of the models you are using. You can apply your knowledge to new situations. Your calculations are right but may have some careless errors.
Prerequisites
Basic knowledge of elementary functions and ability to solve simple equations is required.