Zachodniopomorski Uniwersytet Technologiczny w Szczecinie

Administracja Centralna Uczelni - Wymiana międzynarodowa (S2)

Sylabus przedmiotu QUALITY ENGINEERING:

Informacje podstawowe

Kierunek studiów Wymiana międzynarodowa
Forma studiów studia stacjonarne Poziom drugiego stopnia
Tytuł zawodowy absolwenta
Obszary studiów
Profil
Moduł
Przedmiot QUALITY ENGINEERING
Specjalność przedmiot wspólny
Jednostka prowadząca Instytut Inżynierii Chemicznej i Procesów Ochrony Środowiska
Nauczyciel odpowiedzialny Jolanta Szoplik <Jolanta.Szoplik@zut.edu.pl>
Inni nauczyciele
ECTS (planowane) 4,0 ECTS (formy) 4,0
Forma zaliczenia zaliczenie Język angielski
Blok obieralny Grupa obieralna

Formy dydaktyczne

Forma dydaktycznaKODSemestrGodzinyECTSWagaZaliczenie
wykładyW2 15 2,00,50zaliczenie
ćwiczenia audytoryjneA2 30 2,00,50zaliczenie

Wymagania wstępne

KODWymaganie wstępne
W-1mathematics, statistics - basic course

Cele przedmiotu

KODCel modułu/przedmiotu
C-1The course aim is to give a general introduction to the theory and practice of quality management and to learn methods useful in quality control and improvement

Treści programowe z podziałem na formy zajęć

KODTreść programowaGodziny
ćwiczenia audytoryjne
T-A-1Calculating the probability of finding (z) scraps in the sample.2
T-A-2Application binomial, Poisson and normal distributions for calculating the probability of product meeting the quality requirements4
T-A-3Designing various Shewhard variables control charts (charts x-R or x-s).4
T-A-4Designing various Shewhard attributes control charts (charts p, np, c, u).4
T-A-5Designing various single and double-sampling plans for attributes: normal, tightened and reduced types of sampling plans.6
T-A-6Designing various sampling plans for variables (normal, tightened and reduced); metods s and sigma.8
T-A-7Written test2
30
wykłady
T-W-1The meaning of quality, quality improvement and quality management. Quality engineering terminology.1
T-W-2Statistical methods useful in quality control and improvement.2
T-W-3Statistical models for quality control; Important discrete distribution (binomial distribution, Poisson distribution); Important continous distribution (normal dostribution).2
T-W-4Statistical process monitoring and control techniques - principles, methods and tools (Pareto chart, cause and effect diagram, scater diagram)2
T-W-5Statistical process control: Shewhart control chart (variables or attributes), cumulative sum control chart.2
T-W-6Basic acceptance sampling peoblems. Random sampling. Types of sampling plans.1
T-W-7Single-sampling plans, double-sampling plans or multiple-sampling plans for attributes.2
T-W-8Acceptance sampling plans for variables; method s and sigma.2
T-W-9Written test1
15

Obciążenie pracą studenta - formy aktywności

KODForma aktywnościGodziny
ćwiczenia audytoryjne
A-A-1Obligatory attendance a course28
A-A-2General analysis of the problem solved in the worshop24
A-A-3Repetition of the workshop content to the test6
A-A-4Written test2
60
wykłady
A-W-1Obligatory attendance the lectures14
A-W-2Literature study on the topics discussed within the frame of the lectures25
A-W-3Repetition of the lectures content to the test20
A-W-4Written test1
60

Metody nauczania / narzędzia dydaktyczne

KODMetoda nauczania / narzędzie dydaktyczne
M-1Lecture illustrated by Power Point presentation
M-2Examples of solving problems

Sposoby oceny

KODSposób oceny
S-1Ocena podsumowująca: written test

Zamierzone efekty kształcenia - wiedza

Zamierzone efekty kształceniaOdniesienie do efektów kształcenia dla kierunku studiówOdniesienie do efektów zdefiniowanych dla obszaru kształceniaCel przedmiotuTreści programoweMetody nauczaniaSposób oceny
WM-WTiICh_2-_null_W01
Student has the knowledge about the methods and tools used to control the process and product quality.
C-1T-W-1, T-W-2, T-W-3, T-W-4, T-W-5, T-W-6, T-W-7, T-W-8M-1S-1

Zamierzone efekty kształcenia - umiejętności

Zamierzone efekty kształceniaOdniesienie do efektów kształcenia dla kierunku studiówOdniesienie do efektów zdefiniowanych dla obszaru kształceniaCel przedmiotuTreści programoweMetody nauczaniaSposób oceny
WM-WTiICh_2-_null_U01
Student has the skill to choose the methods and the calculation of the parameters characterizing the quality of process production and final product.
C-1T-A-1, T-A-2, T-A-3, T-A-4, T-A-5, T-A-6M-2S-1

Zamierzone efekty kształcenia - inne kompetencje społeczne i personalne

Zamierzone efekty kształceniaOdniesienie do efektów kształcenia dla kierunku studiówOdniesienie do efektów zdefiniowanych dla obszaru kształceniaCel przedmiotuTreści programoweMetody nauczaniaSposób oceny
WM-WTiICh_2-_null_K01
Student understands the need to learn constantly of new methods and techniques to solve engineering problems
C-1T-A-3, T-A-4, T-A-5, T-A-6, T-W-1, T-W-2, T-W-3, T-W-4, T-W-5, T-W-6, T-W-7, T-W-8M-1S-1

Kryterium oceny - wiedza

Efekt kształceniaOcenaKryterium oceny
WM-WTiICh_2-_null_W01
Student has the knowledge about the methods and tools used to control the process and product quality.
2,0
3,0Student has the knowledge about methods and tools used to control the process and product quality on basic level
3,5
4,0
4,5
5,0

Kryterium oceny - umiejętności

Efekt kształceniaOcenaKryterium oceny
WM-WTiICh_2-_null_U01
Student has the skill to choose the methods and the calculation of the parameters characterizing the quality of process production and final product.
2,0
3,0Student has the skill to choose the methods and the calculation of the parameters characterizing the quality of process production and final product on basic level.
3,5
4,0
4,5
5,0

Kryterium oceny - inne kompetencje społeczne i personalne

Efekt kształceniaOcenaKryterium oceny
WM-WTiICh_2-_null_K01
Student understands the need to learn constantly of new methods and techniques to solve engineering problems
2,0
3,0Student understands the need to learn constantly of new methods and techniques to solve engineering problems on basic level.
3,5
4,0
4,5
5,0

Literatura podstawowa

  1. Doty L.A., Statistical Process Control., Industrial Press Inc., New York, 1996, second edition
  2. Montgomery D.C., Statistical Quality Control: A Modern Introduction, John Wiley & Sons, Asia, 2009, sixth edition, International Student Version
  3. Montgomery D.C., Introduction to Statistical Quality Control., John Wiley & Sons, 2005, Fifth edition, International Student Version

Treści programowe - ćwiczenia audytoryjne

KODTreść programowaGodziny
T-A-1Calculating the probability of finding (z) scraps in the sample.2
T-A-2Application binomial, Poisson and normal distributions for calculating the probability of product meeting the quality requirements4
T-A-3Designing various Shewhard variables control charts (charts x-R or x-s).4
T-A-4Designing various Shewhard attributes control charts (charts p, np, c, u).4
T-A-5Designing various single and double-sampling plans for attributes: normal, tightened and reduced types of sampling plans.6
T-A-6Designing various sampling plans for variables (normal, tightened and reduced); metods s and sigma.8
T-A-7Written test2
30

Treści programowe - wykłady

KODTreść programowaGodziny
T-W-1The meaning of quality, quality improvement and quality management. Quality engineering terminology.1
T-W-2Statistical methods useful in quality control and improvement.2
T-W-3Statistical models for quality control; Important discrete distribution (binomial distribution, Poisson distribution); Important continous distribution (normal dostribution).2
T-W-4Statistical process monitoring and control techniques - principles, methods and tools (Pareto chart, cause and effect diagram, scater diagram)2
T-W-5Statistical process control: Shewhart control chart (variables or attributes), cumulative sum control chart.2
T-W-6Basic acceptance sampling peoblems. Random sampling. Types of sampling plans.1
T-W-7Single-sampling plans, double-sampling plans or multiple-sampling plans for attributes.2
T-W-8Acceptance sampling plans for variables; method s and sigma.2
T-W-9Written test1
15

Formy aktywności - ćwiczenia audytoryjne

KODForma aktywnościGodziny
A-A-1Obligatory attendance a course28
A-A-2General analysis of the problem solved in the worshop24
A-A-3Repetition of the workshop content to the test6
A-A-4Written test2
60
(*) 1 punkt ECTS, odpowiada około 30 godzinom aktywności studenta

Formy aktywności - wykłady

KODForma aktywnościGodziny
A-W-1Obligatory attendance the lectures14
A-W-2Literature study on the topics discussed within the frame of the lectures25
A-W-3Repetition of the lectures content to the test20
A-W-4Written test1
60
(*) 1 punkt ECTS, odpowiada około 30 godzinom aktywności studenta
PoleKODZnaczenie kodu
Zamierzone efekty kształceniaWM-WTiICh_2-_null_W01Student has the knowledge about the methods and tools used to control the process and product quality.
Cel przedmiotuC-1The course aim is to give a general introduction to the theory and practice of quality management and to learn methods useful in quality control and improvement
Treści programoweT-W-1The meaning of quality, quality improvement and quality management. Quality engineering terminology.
T-W-2Statistical methods useful in quality control and improvement.
T-W-3Statistical models for quality control; Important discrete distribution (binomial distribution, Poisson distribution); Important continous distribution (normal dostribution).
T-W-4Statistical process monitoring and control techniques - principles, methods and tools (Pareto chart, cause and effect diagram, scater diagram)
T-W-5Statistical process control: Shewhart control chart (variables or attributes), cumulative sum control chart.
T-W-6Basic acceptance sampling peoblems. Random sampling. Types of sampling plans.
T-W-7Single-sampling plans, double-sampling plans or multiple-sampling plans for attributes.
T-W-8Acceptance sampling plans for variables; method s and sigma.
Metody nauczaniaM-1Lecture illustrated by Power Point presentation
Sposób ocenyS-1Ocena podsumowująca: written test
Kryteria ocenyOcenaKryterium oceny
2,0
3,0Student has the knowledge about methods and tools used to control the process and product quality on basic level
3,5
4,0
4,5
5,0
PoleKODZnaczenie kodu
Zamierzone efekty kształceniaWM-WTiICh_2-_null_U01Student has the skill to choose the methods and the calculation of the parameters characterizing the quality of process production and final product.
Cel przedmiotuC-1The course aim is to give a general introduction to the theory and practice of quality management and to learn methods useful in quality control and improvement
Treści programoweT-A-1Calculating the probability of finding (z) scraps in the sample.
T-A-2Application binomial, Poisson and normal distributions for calculating the probability of product meeting the quality requirements
T-A-3Designing various Shewhard variables control charts (charts x-R or x-s).
T-A-4Designing various Shewhard attributes control charts (charts p, np, c, u).
T-A-5Designing various single and double-sampling plans for attributes: normal, tightened and reduced types of sampling plans.
T-A-6Designing various sampling plans for variables (normal, tightened and reduced); metods s and sigma.
Metody nauczaniaM-2Examples of solving problems
Sposób ocenyS-1Ocena podsumowująca: written test
Kryteria ocenyOcenaKryterium oceny
2,0
3,0Student has the skill to choose the methods and the calculation of the parameters characterizing the quality of process production and final product on basic level.
3,5
4,0
4,5
5,0
PoleKODZnaczenie kodu
Zamierzone efekty kształceniaWM-WTiICh_2-_null_K01Student understands the need to learn constantly of new methods and techniques to solve engineering problems
Cel przedmiotuC-1The course aim is to give a general introduction to the theory and practice of quality management and to learn methods useful in quality control and improvement
Treści programoweT-A-3Designing various Shewhard variables control charts (charts x-R or x-s).
T-A-4Designing various Shewhard attributes control charts (charts p, np, c, u).
T-A-5Designing various single and double-sampling plans for attributes: normal, tightened and reduced types of sampling plans.
T-A-6Designing various sampling plans for variables (normal, tightened and reduced); metods s and sigma.
T-W-1The meaning of quality, quality improvement and quality management. Quality engineering terminology.
T-W-2Statistical methods useful in quality control and improvement.
T-W-3Statistical models for quality control; Important discrete distribution (binomial distribution, Poisson distribution); Important continous distribution (normal dostribution).
T-W-4Statistical process monitoring and control techniques - principles, methods and tools (Pareto chart, cause and effect diagram, scater diagram)
T-W-5Statistical process control: Shewhart control chart (variables or attributes), cumulative sum control chart.
T-W-6Basic acceptance sampling peoblems. Random sampling. Types of sampling plans.
T-W-7Single-sampling plans, double-sampling plans or multiple-sampling plans for attributes.
T-W-8Acceptance sampling plans for variables; method s and sigma.
Metody nauczaniaM-1Lecture illustrated by Power Point presentation
Sposób ocenyS-1Ocena podsumowująca: written test
Kryteria ocenyOcenaKryterium oceny
2,0
3,0Student understands the need to learn constantly of new methods and techniques to solve engineering problems on basic level.
3,5
4,0
4,5
5,0