Zachodniopomorski Uniwersytet Technologiczny w Szczecinie

Administracja Centralna Uczelni - Wymiana międzynarodowa (S1)

Sylabus przedmiotu STATISTICAL METHODS IN ENGINEERING:

Informacje podstawowe

Kierunek studiów Wymiana międzynarodowa
Forma studiów studia stacjonarne Poziom pierwszego stopnia
Tytuł zawodowy absolwenta
Obszary studiów
Profil
Moduł
Przedmiot STATISTICAL METHODS IN ENGINEERING
Specjalność przedmiot wspólny
Jednostka prowadząca Katedra Inżynierii Chemicznej i Procesowej
Nauczyciel odpowiedzialny Anna Story <Anna.Story@zut.edu.pl>
Inni nauczyciele Grzegorz Story <Grzegorz.Story@zut.edu.pl>
ECTS (planowane) 3,0 ECTS (formy) 3,0
Forma zaliczenia zaliczenie Język angielski
Blok obieralny Grupa obieralna

Formy dydaktyczne

Forma dydaktycznaKODSemestrGodzinyECTSWagaZaliczenie
ćwiczenia audytoryjneA1 30 2,00,50zaliczenie
wykładyW1 15 1,00,50zaliczenie

Wymagania wstępne

KODWymaganie wstępne
W-1Applied Mathematics

Cele przedmiotu

KODCel modułu/przedmiotu
C-1The course aims to give a general introduction to the theory and practice of statistical methods in engineering

Treści programowe z podziałem na formy zajęć

KODTreść programowaGodziny
ćwiczenia audytoryjne
T-A-1Calculations of exercises connected with application of statistical techniques which are included to lectures content. Practical using of software (Excel, MATLAB) for statistical analysis.30
30
wykłady
T-W-1Introduction to statistics and data visualisation. Theoretical foundation for statistical analysis. Regression. Design of experiments. Modelling stochastic processes with time Ssries aalysis. Modelling dynamic processes using system identification methods. Using Excel to do statistical analysis. Using MATLAB for statisitical analysis. Written test.15
15

Obciążenie pracą studenta - formy aktywności

KODForma aktywnościGodziny
ćwiczenia audytoryjne
A-A-1Obligatory attendance the classes30
A-A-2Remembering, understanding and analyzing of the classes content8
A-A-3One-on-One teaching consultations2
A-A-4Repetition of the problems analyzed in the classes to the exam10
50
wykłady
A-W-1Obligatory attendance the lectures15
A-W-2Literature study on the topics discussed within the frame of the lectures2
A-W-3Remembering, understanding and analyzing of the lectures content2
A-W-4One-on-One teaching consultations2
A-W-5Repetition of the lectures content to the exam4
25

Metody nauczania / narzędzia dydaktyczne

KODMetoda nauczania / narzędzie dydaktyczne
M-1Activating methods: lecture illustrated by multimedia presentation and didactic discussion
M-2Practical methods: execution of exercises

Sposoby oceny

KODSposób oceny
S-1Ocena podsumowująca: Lectures and classes - written final test
S-2Ocena formująca: Written report after computer exercises

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
Students will acquire detailed theoretical knowledge on many aspects within the framework of the statistical methods in engineering
C-1T-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
Students will acquire practical knowledge on many aspects within the framework of the statistical methods in engineering
C-1T-A-1M-2S-1, S-2

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
Students have the ability to solving and analyzing processes with using the statistical methods in engineering. Students understand the needs of continuous training and development in the field of statistical methods
C-1T-W-1, T-A-1M-1, M-2S-1, S-2

Kryterium oceny - wiedza

Efekt uczenia sięOcenaKryterium oceny
WM-WTiICh_1-_null_W01
Students will acquire detailed theoretical knowledge on many aspects within the framework of the statistical methods in engineering
2,0
3,0Students have the ability to explain on the basic level theoretical problems which are included in course contents
3,5
4,0
4,5
5,0

Kryterium oceny - umiejętności

Efekt uczenia sięOcenaKryterium oceny
WM-WTiICh_1-_null_U01
Students will acquire practical knowledge on many aspects within the framework of the statistical methods in engineering
2,0
3,0Students have the ability to calculate and solve on the basic level different practical problems which are included in course contents
3,5
4,0
4,5
5,0

Kryterium oceny - inne kompetencje społeczne i personalne

Efekt uczenia sięOcenaKryterium oceny
WM-WTiICh_1-_null_K01
Students have the ability to solving and analyzing processes with using the statistical methods in engineering. Students understand the needs of continuous training and development in the field of statistical methods
2,0
3,0Students understand on the basic level the needs of the continuous training and development in the fields which are included in course contents
3,5
4,0
4,5
5,0

Literatura podstawowa

  1. Yuri A.W. Shardt, Statistics for chemical and process engineers : a modern approach, Springer, 2015, ISBN: 9783319215082

Treści programowe - ćwiczenia audytoryjne

KODTreść programowaGodziny
T-A-1Calculations of exercises connected with application of statistical techniques which are included to lectures content. Practical using of software (Excel, MATLAB) for statistical analysis.30
30

Treści programowe - wykłady

KODTreść programowaGodziny
T-W-1Introduction to statistics and data visualisation. Theoretical foundation for statistical analysis. Regression. Design of experiments. Modelling stochastic processes with time Ssries aalysis. Modelling dynamic processes using system identification methods. Using Excel to do statistical analysis. Using MATLAB for statisitical analysis. Written test.15
15

Formy aktywności - ćwiczenia audytoryjne

KODForma aktywnościGodziny
A-A-1Obligatory attendance the classes30
A-A-2Remembering, understanding and analyzing of the classes content8
A-A-3One-on-One teaching consultations2
A-A-4Repetition of the problems analyzed in the classes to the exam10
50
(*) 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 lectures2
A-W-3Remembering, understanding and analyzing of the lectures content2
A-W-4One-on-One teaching consultations2
A-W-5Repetition of the lectures content to the exam4
25
(*) 1 punkt ECTS, odpowiada około 30 godzinom aktywności studenta
PoleKODZnaczenie kodu
Zamierzone efekty uczenia sięWM-WTiICh_1-_null_W01Students will acquire detailed theoretical knowledge on many aspects within the framework of the statistical methods in engineering
Cel przedmiotuC-1The course aims to give a general introduction to the theory and practice of statistical methods in engineering
Treści programoweT-W-1Introduction to statistics and data visualisation. Theoretical foundation for statistical analysis. Regression. Design of experiments. Modelling stochastic processes with time Ssries aalysis. Modelling dynamic processes using system identification methods. Using Excel to do statistical analysis. Using MATLAB for statisitical analysis. Written test.
Metody nauczaniaM-1Activating methods: lecture illustrated by multimedia presentation and didactic discussion
Sposób ocenyS-1Ocena podsumowująca: Lectures and classes - written final test
Kryteria ocenyOcenaKryterium oceny
2,0
3,0Students have the ability to explain on the basic level theoretical problems which are included in course contents
3,5
4,0
4,5
5,0
PoleKODZnaczenie kodu
Zamierzone efekty uczenia sięWM-WTiICh_1-_null_U01Students will acquire practical knowledge on many aspects within the framework of the statistical methods in engineering
Cel przedmiotuC-1The course aims to give a general introduction to the theory and practice of statistical methods in engineering
Treści programoweT-A-1Calculations of exercises connected with application of statistical techniques which are included to lectures content. Practical using of software (Excel, MATLAB) for statistical analysis.
Metody nauczaniaM-2Practical methods: execution of exercises
Sposób ocenyS-1Ocena podsumowująca: Lectures and classes - written final test
S-2Ocena formująca: Written report after computer exercises
Kryteria ocenyOcenaKryterium oceny
2,0
3,0Students have the ability to calculate and solve on the basic level different practical problems which are included in course contents
3,5
4,0
4,5
5,0
PoleKODZnaczenie kodu
Zamierzone efekty uczenia sięWM-WTiICh_1-_null_K01Students have the ability to solving and analyzing processes with using the statistical methods in engineering. Students understand the needs of continuous training and development in the field of statistical methods
Cel przedmiotuC-1The course aims to give a general introduction to the theory and practice of statistical methods in engineering
Treści programoweT-W-1Introduction to statistics and data visualisation. Theoretical foundation for statistical analysis. Regression. Design of experiments. Modelling stochastic processes with time Ssries aalysis. Modelling dynamic processes using system identification methods. Using Excel to do statistical analysis. Using MATLAB for statisitical analysis. Written test.
T-A-1Calculations of exercises connected with application of statistical techniques which are included to lectures content. Practical using of software (Excel, MATLAB) for statistical analysis.
Metody nauczaniaM-1Activating methods: lecture illustrated by multimedia presentation and didactic discussion
M-2Practical methods: execution of exercises
Sposób ocenyS-1Ocena podsumowująca: Lectures and classes - written final test
S-2Ocena formująca: Written report after computer exercises
Kryteria ocenyOcenaKryterium oceny
2,0
3,0Students understand on the basic level the needs of the continuous training and development in the fields which are included in course contents
3,5
4,0
4,5
5,0