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 Mechatroniki | ||
Nauczyciel odpowiedzialny | Andrzej Bodnar <Andrzej.Bodnar@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
Wymagania wstępne
KOD | Wymaganie wstępne |
---|---|
W-1 | Finished course on mathematics (at least 2 semesters). |
Cele przedmiotu
KOD | Cel modułu/przedmiotu |
---|---|
C-1 | Student 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-2 | 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, finding signal transforms and other. |
C-3 | Student will be able to cooperate in small groups. |
C-4 | Student can study subject literature individualy. |
Treści programowe z podziałem na formy zajęć
KOD | Treść programowa | Godziny |
---|---|---|
laboratoria | ||
T-L-1 | Laboratory 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, finding Fourier or wavelet transforms. | 15 |
15 | ||
wykłady | ||
T-W-1 | Mathematical 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, finding signal transforms. | 30 |
30 |
Obciążenie pracą studenta - formy aktywności
KOD | Forma aktywności | Godziny |
---|---|---|
laboratoria | ||
A-L-1 | Participation in laboratories | 15 |
A-L-2 | Preparation of laboratory reports | 15 |
A-L-3 | Studying literature and matlab help files | 20 |
50 | ||
wykłady | ||
A-W-1 | Participation in lectures | 30 |
A-W-2 | Studying of literature | 10 |
A-W-3 | Preparation to exam | 10 |
50 |
Metody nauczania / narzędzia dydaktyczne
KOD | Metoda nauczania / narzędzie dydaktyczne |
---|---|
M-1 | Lectures and laboratory. |
Sposoby oceny
KOD | Sposób oceny |
---|---|
S-1 | Ocena podsumowująca: Written test; laboratory reports. |
S-2 | Ocena podsumowująca: Observation of student's work. |
Zamierzone efekty uczenia się - wiedza
Zamierzone efekty uczenia się | Odniesienie do efektów kształcenia dla kierunku studiów | Odniesienie do efektów zdefiniowanych dla obszaru kształcenia | Cel przedmiotu | Treści programowe | Metody nauczania | Sposób oceny |
---|---|---|---|---|---|---|
WM-WIMiM_1-_null_W01 Student understand mathematical bases of numerical methods used in problems arising in engineering and technology. | — | — | C-1 | T-W-1 | M-1 | S-1 |
Zamierzone efekty uczenia się - umiejętności
Zamierzone efekty uczenia się | Odniesienie do efektów kształcenia dla kierunku studiów | Odniesienie do efektów zdefiniowanych dla obszaru kształcenia | Cel przedmiotu | Treści programowe | Metody nauczania | Sposób oceny |
---|---|---|---|---|---|---|
WM-WIMiM_1-_null_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, finding signal transforms. Student is prepared to further study and to application of the knowledge in his scientific work or for solving problems met in industry. | — | — | C-2 | T-L-1 | M-1 | S-1 |
Zamierzone efekty uczenia się - inne kompetencje społeczne i personalne
Zamierzone efekty uczenia się | Odniesienie do efektów kształcenia dla kierunku studiów | Odniesienie do efektów zdefiniowanych dla obszaru kształcenia | Cel przedmiotu | Treści programowe | Metody nauczania | Sposób oceny |
---|---|---|---|---|---|---|
WM-WIMiM_1-_null_K01 Student understands necessity of further development of his knoledge and skills. Student can cooperate in a group. | — | — | C-3, C-4 | T-L-1 | M-1 | S-2 |
Kryterium oceny - wiedza
Efekt uczenia się | Ocena | Kryterium oceny |
---|---|---|
WM-WIMiM_1-_null_W01 Student understand mathematical bases of numerical methods used in problems arising in engineering and technology. | 2,0 | |
3,0 | Student knows and understands discussed numerical methods. | |
3,5 | ||
4,0 | ||
4,5 | ||
5,0 | Student knows and understands discussed numerical methods and knows how to use them in different problem conditions. |
Kryterium oceny - umiejętności
Efekt uczenia się | Ocena | Kryterium oceny |
---|---|---|
WM-WIMiM_1-_null_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, finding signal transforms. 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 | |
3,0 | Student can apply discussed numerical methods. Student solved correctly at least 65% of problems given at the tests. | |
3,5 | ||
4,0 | Student can apply discussed numerical methods. Student solved correctly at least 75% of problems given at the tests. | |
4,5 | ||
5,0 | Student 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 się | Ocena | Kryterium oceny |
---|---|---|
WM-WIMiM_1-_null_K01 Student understands necessity of further development of his knoledge and skills. Student can cooperate in a group. | 2,0 | |
3,0 | Student can cooperate in a group. Student can prepare summary of an article or a chapter. | |
3,5 | ||
4,0 | ||
4,5 | ||
5,0 | Student 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
- Moler C.B., Numerical computing with MATLAB., The MathWorks, Inc., Natic, Massachusets, 2004
Literatura dodatkowa
- Demidovich B.P., Maron I.A., Computational mathematics., Mir, Moscow, 1987
- 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