Phys1 Force and Motion (3 cr)
Code: TZLF1300-3070
General information
Enrollment
01.08.2022 - 25.08.2022
Timing
22.08.2022 - 31.12.2022
Number of ECTS credits allocated
3 op
Mode of delivery
Face-to-face
Unit
School of Technology
Campus
Main Campus
Teaching languages
- English
Seats
0 - 15
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
- Pertti Ahonen
Teacher in charge
Pertti Ahonen
Groups
-
TAR22S1Bachelor's Degree Programme in Automation and Robotics
Objective
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
In this course, you will learn the basics of kinematics and dynamics, which are essential for understanding the fundamental phenomena of mechanics. You will develop logical thinking and problem-solving skills that are useful in many engineering fields. Upon completion of the course, you will recognise the basic principles of kinematics and dynamics and be able to apply them to solve practical problems. This course will give you a strong foundation for further studies in mechanics and practical applications.
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.
Oppimateriaali ja suositeltava kirjallisuus
Knight, Randal D. Physics for Scientists and Engineers. Pearson International edition.
Teaching methods
-lessons
-distance learning
-exercises
-learning tasks
Exam schedules
Exam and two possible resits. Dates will be announced in the beginning of the course.
Student workload
One credit equals 27 hours of work, which means that this course needs about 81 working hours
Further information
Assessment criteria: points from exercises and the exam.
Evaluation scale
0-5
Arviointikriteerit, tyydyttävä (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.
Arviointikriteerit, hyvä (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.
Assessment 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.
Qualifications
Basic knowledge of elementary functions and ability to solve simple equations is required.