Measuring and Quality Technique (3 cr)

Evaluation scale

0-5

Content scheduling

The scheduling of the course content is determined by the dates of the contact days.

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. During the course, students work in groups on three assessed learning assignments, which are returned in writing. In addition, written assignments or returnable exercises to the online learning environment are performed independently. The course includes one laboratory day, participation in which is one compulsory completion of the course.

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.

If necessary, the instructions for each learning assignment contain more detailed information on how to use it in more detail in this course.

If a student has not attended the lectures during the first week and fails to submit Assignment 1 by the deadline, they will be removed from the course, and they will no longer be able to participate in this offering.

Exam schedules

Exam in the last contact lectures of the course. Two replays: the first in December 2025, the second in January 2026.

Completion alternatives

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

Student workload

Lectures 14 h,
laboratory work 3 h,
independent work 64 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

Continuous developmental feedback in learning tasks.
Assessment consists of exam 50% and learning assignments 50%.