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Measuring and Quality Technique (3 cr)

Code: TKKP0100-3010

General information


Enrollment
01.08.2024 - 22.08.2024
Registration for the implementation has ended.
Timing
12.08.2024 - 18.12.2024
Implementation has ended.
Number of ECTS credits allocated
3 cr
Local portion
3 cr
Mode of delivery
Face-to-face
Unit
School of Technology
Campus
Main Campus
Teaching languages
Finnish
Seats
20 - 40
Degree programmes
Bachelor's Degree Programme in Mechanical Engineering
Teachers
Petri Uutela
Harri Peuranen
Juha Roivainen
Groups
TKN24SM
Konetekniikka (AMK)
ZJATKN24SM
Avoin amk, Konetekniikka, Monimuoto
Course
TKKP0100

Realization has 10 reservations. Total duration of reservations is 20 h 30 min.

Time Topic Location
Tue 13.08.2024 time 09:15 - 10:45
(1 h 30 min)
Mittaus- ja laatutekniikka TKKP0100-3010
R35F405 Oppimistila
Wed 14.08.2024 time 15:00 - 16:30
(1 h 30 min)
Mittaus- ja laatutekniikka TKKP0100-3010
R35F405 Oppimistila
Fri 13.09.2024 time 13:15 - 14:45
(1 h 30 min)
Mittaus- ja laatutekniikka TKKP0100-3010
R35EP02 Oppimistila
Fri 25.10.2024 time 15:00 - 16:30
(1 h 30 min)
Mittaus- ja laatutekniikka TKKP0100-3010
R35G201 Oppimistila
Sat 26.10.2024 time 08:30 - 10:30
(2 h 0 min)
Materiaalitekniikka TKKP0220-3010, MIttaus- ja laatutekniikka TKKP0100-3010
R35DP39.materiaali Materiaalitekniikka
R35DP39.mittaus Mittaustekniikka
R35AK08.1 Rakennuslaboratorio
R35AK08.2 Vetokone
Sat 26.10.2024 time 11:30 - 16:30
(5 h 0 min)
Materiaalitekniikka TKKP0220-3010, MIttaus- ja laatutekniikka TKKP0100-3010
R35DP39.materiaali Materiaalitekniikka
R35DP39.mittaus Mittaustekniikka
R35AK08.2 Vetokone
R35AK08.1 Rakennuslaboratorio
Sat 23.11.2024 time 09:00 - 10:30
(1 h 30 min)
Mittaus- ja laatutekniikka TKKP0100-3010
R35F405 Oppimistila
Fri 13.12.2024 time 11:30 - 14:00
(2 h 30 min)
Mittaus- ja laatutekniikka TKKP0100-3010
R35EP02 Oppimistila
Tue 17.12.2024 time 17:00 - 18:30
(1 h 30 min)
Mittaus- ja laatutekniikka TKKP0100-3010 1. Uusintakoe Zoomissa
Zoom
Wed 15.01.2025 time 11:30 - 13:30
(2 h 0 min)
TKN24SM Mittaus- ja laatutekniikan 2. uusintakoe: HUOM Tilamuutos!
R35F205 Oppimistila (aik)
Changes to reservations may be possible.

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.

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 2024, the second in January 2025.

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%.

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