Measuring and Quality Technique (3 cr)

Evaluation scale

0-5

Content scheduling

Lectures 1,5 h/week

Objective

Measurement and quality management are an essential parts of work-shop manufacturing. You will learn the basic knowledge and skills of measurement and be able to use the most common workshop measuring instruments in a way that takes into account the factors that cause measurement uncertainty. Your competence will grow in understanding quality management as part of normal work. Additionally, you will understand how quality thinking with measurements supports sustainable development.

Knowledge and understanding
You are familiar with the basic measurements in the workshop: you are able to use the most common measuring instruments in a way that takes into account the most significant factors causing measurement uncertainty. You understand the basic thinking of quality management and sustainable development: the main quality definitions, continuous improvement, and the idea of the ISO 9000 series.

Investigations and information retrieval:
You can select and use suitable measuring equipment to solve measuring problems.

Engineering practice:
You can calculate the most common measuring errors from your own measuring which you have make in the laboratory. You can analyze the results and make conclusions.

Content

Calculation of the most common measurement errors, measurement uncertainty, and their reduction, selection of measuring instruments, and quality management. Quality thinking and sustainable development as part of it.

Materials

Lecture material,
Andersson & Tikka, Mittaus- ja laatutekniikat. WSOY
Grote, K.-H.; Hefazi, H. 2021: Springer Handbook of Mechanical Engineering (2nd Edition). Publ. Springer Nature. https://app-knovel-com.ezproxy.jamk.fi:2443/kn/resources/kpSHME0001/toc

Teaching methods

Lectures, learning tasks based on application. Learning assignments are done and returned both individually and in groups. Laboratory exercises.
Free-form anonymous feedback is collected in the middle of the course.

The implementation of the course is based on contact and distance learning (videos). During the course, students make learning assignments, which are returned as agreed. The course includes laboratory works.

The responsible and transparent use of AI applications is encouraged in this course. Instructions for using artificial intelligence can be found in chapter 3.2 (https://help.jamk.fi/raportointiohje/fi/3-kirjoittamisprosessi/tekoalyn-kaytto-oppimistehtavissa-ja-opinnaytetyossa/) of the thesis reporting instructions.

Participation in the course requires completing a mandatory background assignment by September 19, 2025.

Exam schedules

Exam in week 41.Two replays: the first in week 44 and the second in week 46.

Completion alternatives

The course is based on contact learning and independent working.
The assessment of previous competence is made on the beginning of the course.

Student workload

Lectures 17 h,
laboratory work 6 h,
independent work 58 h.
A total of 81 h of learning work.

Assessment criteria, satisfactory (1)

Assessment consists of exam 80% and learning assignments 20%.

Sufficient (1): You understand the basics and terminology, but you have significant shortcomings in interpreting key concepts. You can solve simple measurement problems satisfactorily and identify quality principles adequately.

Satisfactory (2): You understand the basics and terminology, but you have limitations in applying key concepts. You can solve measurement problems that deviate from the norm satisfactorily and identify quality principles and their relevance to sustainable development.

Assessment criteria, good (3)

Good (3): You master the key aspects of the course, which include under-standing basic workshop measurement methods and making informed choices among them holistically. Additionally, you can use the most common workshop measuring instruments in a way that mostly considers factors causing measurement uncertainty. You are familiar with the significant factors causing measurement uncertainty and can determine combined measurement errors in complex situations. You can assess and analyze measurement results from the perspective of measurement uncertainty. You understand the basic thinking of quality management and its relationship to sustainable development.

Very good (4): You master the necessary key aspects and can apply them critically and innovatively in solving moderately demanding measurement problems and in analyzing and evaluating results, such as in laboratory work and the practical application of quality principles

Assessment criteria, excellent (5)

Excellent (5): You have a command of the key concepts and can apply them critically and innovatively in solving demanding and complex measurement problems, such as in laboratory work, and in applying more advanced quality principles. You are capable of generating new solutions critically while evaluating their impact on sustainable development.

Assessment criteria, approved/failed

Accepted:
You understand the basics and terminology, but you have shortcomings in interpreting key concepts. You can solve simple measurement problems satisfactorily and identify quality principles adequately.

Qualifications

Handling exponents and square roots, simplifying expressions, applying trigonometry to right-angled and oblique triangles, solving linear equations and root equations, as well as systems of equations. SI unit system, unit conversion, and calculation of quantities.

Further information

Assessment consists of exam 80% and learning assignments 20%.
Continuous developmental feedback in learning tasks.