Zachodniopomorski Uniwersytet Technologiczny w Szczecinie

Administracja Centralna Uczelni - Wymiana międzynarodowa (S1)

Sylabus przedmiotu Numerical methods in technical computing:

Informacje podstawowe

Kierunek studiów Wymiana międzynarodowa
Forma studiów studia stacjonarne Poziom pierwszego stopnia
Tytuł zawodowy absolwenta
Obszary studiów
Profil
Moduł
Przedmiot Numerical methods in technical computing
Specjalność przedmiot wspólny
Jednostka prowadząca Katedra Technologii Energetycznych
Nauczyciel odpowiedzialny Aleksandra Dembkowska <Aleksandra.Dembkowska@zut.edu.pl>
Inni nauczyciele Andrzej Bodnar <Andrzej.Bodnar@zut.edu.pl>
ECTS (planowane) 4,0 ECTS (formy) 4,0
Forma zaliczenia zaliczenie Język angielski
Blok obieralny Grupa obieralna

Formy dydaktyczne

Forma dydaktycznaKODSemestrGodzinyECTSWagaZaliczenie
laboratoriaL1 30 2,00,40zaliczenie
wykładyW1 15 2,00,60zaliczenie

Wymagania wstępne

KODWymaganie wstępne
W-1Finished course on mathematics (at least 2 semesters).

Cele przedmiotu

KODCel modułu/przedmiotu
C-1Student will develop understanding of mathematical bases of numerical methods used in problems arising in engineering and technology. Student will be prepared to apply their knowledge at future industrial or scientific work or further study.
C-2Student will demonstrate the ability to apply numerical methods for experimental data processing like approximation, interpolation, curve fitting, smoothing, finding poles and zeros of functions, solving sets of equations or ordinary differential equations and other.
C-3Student will be able to cooperate in small groups.
C-4Student can study subject literature individualy.

Treści programowe z podziałem na formy zajęć

KODTreść programowaGodziny
laboratoria
T-L-1Laboratory works in MATLAB (based on representative practical examples) on approximation, interpolation, curve fitting, smoothing, finding poles and zeros of functions, numerical integration, solving sets of linear and nonlinear equations or ordinary differential equations.30
30
wykłady
T-W-1Mathematical principles and simple examples of individual numerical methods: approximation, interpolation, curve fitting and smoothing of experimental data, finding poles and zeros of functions, solving sets of linear equations or ordinary differential equations.15
15

Obciążenie pracą studenta - formy aktywności

KODForma aktywnościGodziny
laboratoria
A-L-1Participation in laboratories30
A-L-2Preparation of laboratory reports10
A-L-3Studying literature and matlab help files10
50
wykłady
A-W-1Participation in lectures15
A-W-2Studying of literature20
A-W-3Preparation to exam15
50

Metody nauczania / narzędzia dydaktyczne

KODMetoda nauczania / narzędzie dydaktyczne
M-1Lectures and laboratory.

Sposoby oceny

KODSposób oceny
S-1Ocena podsumowująca: Written test; laboratory reports.
S-2Ocena podsumowująca: Observation of student's work.

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-WIMiM_1-_WM41_W01
Student understand mathematical bases of numerical methods used in problems arising in engineering and technology.
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-WIMiM_1-_WM41_U01
Student will demonstrate the ability to apply numerical methods for experimental data processing like approximation, interpolation, curve fitting, smoothing, finding poles and zeros of functions, solving sets of equations or ordinary differential equations. Student is prepared to further study and to application of the knowledge in his scientific work or for solving problems met in industry.
C-2T-L-1M-1S-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-WIMiM_1-_WM41_K01
Student understands necessity of further development of his knoledge and skills. Student can cooperate in a group.
C-3, C-4T-L-1M-1S-2

Kryterium oceny - wiedza

Efekt uczenia sięOcenaKryterium oceny
WM-WIMiM_1-_WM41_W01
Student understand mathematical bases of numerical methods used in problems arising in engineering and technology.
2,0
3,0Student knows and understands discussed numerical methods.
3,5
4,0
4,5
5,0Student knows and understands discussed numerical methods and knows how to use them in different problem conditions.

Kryterium oceny - umiejętności

Efekt uczenia sięOcenaKryterium oceny
WM-WIMiM_1-_WM41_U01
Student will demonstrate the ability to apply numerical methods for experimental data processing like approximation, interpolation, curve fitting, smoothing, finding poles and zeros of functions, solving sets of equations or ordinary differential equations. Student is prepared to further study and to application of the knowledge in his scientific work or for solving problems met in industry.
2,0
3,0Student can apply discussed numerical methods. Student solved correctly at least 65% of problems given at the tests.
3,5
4,0Student can apply discussed numerical methods. Student solved correctly at least 75% of problems given at the tests.
4,5
5,0Student can optymally apply discussed numerical methods. Student solved correctly at least 90% of problems given at the tests.

Kryterium oceny - inne kompetencje społeczne i personalne

Efekt uczenia sięOcenaKryterium oceny
WM-WIMiM_1-_WM41_K01
Student understands necessity of further development of his knoledge and skills. Student can cooperate in a group.
2,0
3,0Student can cooperate in a group. Student can prepare summary of an article or a chapter.
3,5
4,0
4,5
5,0Student can cooperate in a group and can take a role of the leader. Student can prepare a summary of an article or a chapter.

Literatura podstawowa

  1. Moler C.B., Numerical computing with MATLAB., The MathWorks, Inc., Natic, Massachusets, 2004

Literatura dodatkowa

  1. Magrab E.B. et al., An engineer’s guide to MATLAB with applications from mechanical, aerospace, electrical and civil, and biological systems engineering., Prentice Hall, Upper Saddle River, New York, 2011

Treści programowe - laboratoria

KODTreść programowaGodziny
T-L-1Laboratory works in MATLAB (based on representative practical examples) on approximation, interpolation, curve fitting, smoothing, finding poles and zeros of functions, numerical integration, solving sets of linear and nonlinear equations or ordinary differential equations.30
30

Treści programowe - wykłady

KODTreść programowaGodziny
T-W-1Mathematical principles and simple examples of individual numerical methods: approximation, interpolation, curve fitting and smoothing of experimental data, finding poles and zeros of functions, solving sets of linear equations or ordinary differential equations.15
15

Formy aktywności - laboratoria

KODForma aktywnościGodziny
A-L-1Participation in laboratories30
A-L-2Preparation of laboratory reports10
A-L-3Studying literature and matlab help files10
50
(*) 1 punkt ECTS, odpowiada około 30 godzinom aktywności studenta

Formy aktywności - wykłady

KODForma aktywnościGodziny
A-W-1Participation in lectures15
A-W-2Studying of literature20
A-W-3Preparation to exam15
50
(*) 1 punkt ECTS, odpowiada około 30 godzinom aktywności studenta
PoleKODZnaczenie kodu
Zamierzone efekty uczenia sięWM-WIMiM_1-_WM41_W01Student understand mathematical bases of numerical methods used in problems arising in engineering and technology.
Cel przedmiotuC-1Student will develop understanding of mathematical bases of numerical methods used in problems arising in engineering and technology. Student will be prepared to apply their knowledge at future industrial or scientific work or further study.
Treści programoweT-W-1Mathematical principles and simple examples of individual numerical methods: approximation, interpolation, curve fitting and smoothing of experimental data, finding poles and zeros of functions, solving sets of linear equations or ordinary differential equations.
Metody nauczaniaM-1Lectures and laboratory.
Sposób ocenyS-1Ocena podsumowująca: Written test; laboratory reports.
Kryteria ocenyOcenaKryterium oceny
2,0
3,0Student knows and understands discussed numerical methods.
3,5
4,0
4,5
5,0Student knows and understands discussed numerical methods and knows how to use them in different problem conditions.
PoleKODZnaczenie kodu
Zamierzone efekty uczenia sięWM-WIMiM_1-_WM41_U01Student will demonstrate the ability to apply numerical methods for experimental data processing like approximation, interpolation, curve fitting, smoothing, finding poles and zeros of functions, solving sets of equations or ordinary differential equations. Student is prepared to further study and to application of the knowledge in his scientific work or for solving problems met in industry.
Cel przedmiotuC-2Student will demonstrate the ability to apply numerical methods for experimental data processing like approximation, interpolation, curve fitting, smoothing, finding poles and zeros of functions, solving sets of equations or ordinary differential equations and other.
Treści programoweT-L-1Laboratory works in MATLAB (based on representative practical examples) on approximation, interpolation, curve fitting, smoothing, finding poles and zeros of functions, numerical integration, solving sets of linear and nonlinear equations or ordinary differential equations.
Metody nauczaniaM-1Lectures and laboratory.
Sposób ocenyS-1Ocena podsumowująca: Written test; laboratory reports.
Kryteria ocenyOcenaKryterium oceny
2,0
3,0Student can apply discussed numerical methods. Student solved correctly at least 65% of problems given at the tests.
3,5
4,0Student can apply discussed numerical methods. Student solved correctly at least 75% of problems given at the tests.
4,5
5,0Student can optymally apply discussed numerical methods. Student solved correctly at least 90% of problems given at the tests.
PoleKODZnaczenie kodu
Zamierzone efekty uczenia sięWM-WIMiM_1-_WM41_K01Student understands necessity of further development of his knoledge and skills. Student can cooperate in a group.
Cel przedmiotuC-3Student will be able to cooperate in small groups.
C-4Student can study subject literature individualy.
Treści programoweT-L-1Laboratory works in MATLAB (based on representative practical examples) on approximation, interpolation, curve fitting, smoothing, finding poles and zeros of functions, numerical integration, solving sets of linear and nonlinear equations or ordinary differential equations.
Metody nauczaniaM-1Lectures and laboratory.
Sposób ocenyS-2Ocena podsumowująca: Observation of student's work.
Kryteria ocenyOcenaKryterium oceny
2,0
3,0Student can cooperate in a group. Student can prepare summary of an article or a chapter.
3,5
4,0
4,5
5,0Student can cooperate in a group and can take a role of the leader. Student can prepare a summary of an article or a chapter.