Zachodniopomorski Uniwersytet Technologiczny w Szczecinie

Administracja Centralna Uczelni - Wymiana międzynarodowa (S1)

Sylabus przedmiotu QUALITY ENGINEERING:

Informacje podstawowe

Kierunek studiów Wymiana międzynarodowa
Forma studiów studia stacjonarne Poziom pierwszego stopnia
Tytuł zawodowy absolwenta
Obszary studiów
Profil
Moduł
Przedmiot QUALITY ENGINEERING
Specjalność przedmiot wspólny
Jednostka prowadząca Katedra Inżynierii Chemicznej i Procesowej
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
ćwiczenia audytoryjneA1 45 3,00,50zaliczenie
wykładyW1 15 1,00,50zaliczenie

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 average and dispersion for a given detailed data series. Preparing histogram and calculating average, dispersion for interval data series, skewness and flattening of distribution.6
T-A-2Calculating the probability of finding (z) scraps in the sample.2
T-A-3Application binomial, Poisson and normal distributions for calculating the probability of product meeting the quality requirements6
T-A-4Statistical inference in quality control and improvement (sampling from population, check the agreement of distribution feature in sample to normal distribution). Statistical inference for a single and two samples.6
T-A-5Designing various Shewhart variables control charts (charts x-R or x-s).4
T-A-6Designing various Shewhart attributes control charts (charts p, np, c, u).4
T-A-7Designing cumulative sum control chart CUSUM chart for monitoring the mean value for sample and CUSUM chart for number of defects in sample.4
T-A-8Designing various single and double-sampling plans for attributes: normal, tightened and reduced types of sampling plans.6
T-A-9Designing various sampling plans for variables (normal, tightened and reduced); metods s and sigma.5
T-A-10Written test2
45
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 course45
A-A-2General analysis of the problem solved in the worshop15
A-A-3Repetition of the workshop content to the test13
A-A-4Written test2
75
wykłady
A-W-1Obligatory attendance the lectures15
A-W-2Literature study on the topics discussed within the frame of the lectures4
A-W-3Repetition of the lectures content to the test5
A-W-4Written test1
25

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 uczenia się - wiedza

Zamierzone efekty uczenia sięOdniesienie do efektów kształcenia dla kierunku studiówOdniesienie do efektów zdefiniowanych dla obszaru kształceniaCel przedmiotuTreści programoweMetody nauczaniaSposób oceny
WM-WTiICh_1-_null_W01
Student has the knowledge about the methods and tools used to control the process and product quality.
C-1T-W-4, T-W-7, T-W-2, T-W-5, T-W-8, T-W-6, T-W-3, T-W-1M-1S-1

Zamierzone efekty uczenia się - umiejętności

Zamierzone efekty uczenia sięOdniesienie do efektów kształcenia dla kierunku studiówOdniesienie do efektów zdefiniowanych dla obszaru kształceniaCel przedmiotuTreści programoweMetody nauczaniaSposób oceny
WM-WTiICh_1-_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-6, T-A-5, T-A-3, T-A-2, T-A-8, T-A-9M-2S-1

Zamierzone efekty uczenia się - inne kompetencje społeczne i personalne

Zamierzone efekty uczenia sięOdniesienie do efektów kształcenia dla kierunku studiówOdniesienie do efektów zdefiniowanych dla obszaru kształceniaCel przedmiotuTreści programoweMetody nauczaniaSposób oceny
WM-WTiICh_1-_null_K01
Student understands the need to learn constantly of new methods and techniques to solve engineering problems
C-1T-A-6, T-A-5, T-A-8, T-A-9, T-W-4, T-W-7, T-W-2, T-W-5, T-W-8, T-W-6, T-W-3, T-W-1M-1S-1

Kryterium oceny - wiedza

Efekt uczenia sięOcenaKryterium oceny
WM-WTiICh_1-_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 uczenia sięOcenaKryterium oceny
WM-WTiICh_1-_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 uczenia sięOcenaKryterium oceny
WM-WTiICh_1-_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 average and dispersion for a given detailed data series. Preparing histogram and calculating average, dispersion for interval data series, skewness and flattening of distribution.6
T-A-2Calculating the probability of finding (z) scraps in the sample.2
T-A-3Application binomial, Poisson and normal distributions for calculating the probability of product meeting the quality requirements6
T-A-4Statistical inference in quality control and improvement (sampling from population, check the agreement of distribution feature in sample to normal distribution). Statistical inference for a single and two samples.6
T-A-5Designing various Shewhart variables control charts (charts x-R or x-s).4
T-A-6Designing various Shewhart attributes control charts (charts p, np, c, u).4
T-A-7Designing cumulative sum control chart CUSUM chart for monitoring the mean value for sample and CUSUM chart for number of defects in sample.4
T-A-8Designing various single and double-sampling plans for attributes: normal, tightened and reduced types of sampling plans.6
T-A-9Designing various sampling plans for variables (normal, tightened and reduced); metods s and sigma.5
T-A-10Written test2
45

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 course45
A-A-2General analysis of the problem solved in the worshop15
A-A-3Repetition of the workshop content to the test13
A-A-4Written test2
75
(*) 1 punkt ECTS, odpowiada około 30 godzinom aktywności studenta

Formy aktywności - wykłady

KODForma aktywnościGodziny
A-W-1Obligatory attendance the lectures15
A-W-2Literature study on the topics discussed within the frame of the lectures4
A-W-3Repetition of the lectures content to the test5
A-W-4Written test1
25
(*) 1 punkt ECTS, odpowiada około 30 godzinom aktywności studenta
PoleKODZnaczenie kodu
Zamierzone efekty uczenia sięWM-WTiICh_1-_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-4Statistical process monitoring and control techniques - principles, methods and tools (Pareto chart, cause and effect diagram, scater diagram)
T-W-7Single-sampling plans, double-sampling plans or multiple-sampling plans for attributes.
T-W-2Statistical methods useful in quality control and improvement.
T-W-5Statistical process control: Shewhart control chart (variables or attributes), cumulative sum control chart.
T-W-8Acceptance sampling plans for variables; method s and sigma.
T-W-6Basic acceptance sampling peoblems. Random sampling. Types of sampling plans.
T-W-3Statistical models for quality control; Important discrete distribution (binomial distribution, Poisson distribution); Important continous distribution (normal dostribution).
T-W-1The meaning of quality, quality improvement and quality management. Quality engineering terminology.
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 uczenia sięWM-WTiICh_1-_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-6Designing various Shewhart attributes control charts (charts p, np, c, u).
T-A-5Designing various Shewhart variables control charts (charts x-R or x-s).
T-A-3Application binomial, Poisson and normal distributions for calculating the probability of product meeting the quality requirements
T-A-2Calculating the probability of finding (z) scraps in the sample.
T-A-8Designing various single and double-sampling plans for attributes: normal, tightened and reduced types of sampling plans.
T-A-9Designing 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 uczenia sięWM-WTiICh_1-_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-6Designing various Shewhart attributes control charts (charts p, np, c, u).
T-A-5Designing various Shewhart variables control charts (charts x-R or x-s).
T-A-8Designing various single and double-sampling plans for attributes: normal, tightened and reduced types of sampling plans.
T-A-9Designing various sampling plans for variables (normal, tightened and reduced); metods s and sigma.
T-W-4Statistical process monitoring and control techniques - principles, methods and tools (Pareto chart, cause and effect diagram, scater diagram)
T-W-7Single-sampling plans, double-sampling plans or multiple-sampling plans for attributes.
T-W-2Statistical methods useful in quality control and improvement.
T-W-5Statistical process control: Shewhart control chart (variables or attributes), cumulative sum control chart.
T-W-8Acceptance sampling plans for variables; method s and sigma.
T-W-6Basic acceptance sampling peoblems. Random sampling. Types of sampling plans.
T-W-3Statistical models for quality control; Important discrete distribution (binomial distribution, Poisson distribution); Important continous distribution (normal dostribution).
T-W-1The meaning of quality, quality improvement and quality management. Quality engineering terminology.
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