Zachodniopomorski Uniwersytet Technologiczny w Szczecinie

Administracja Centralna Uczelni - Wymiana międzynarodowa (S1)

Sylabus przedmiotu NUMERICAL AND ANALYTICAL METHODS WITH MATLAB:

Informacje podstawowe

Kierunek studiów Wymiana międzynarodowa
Forma studiów studia stacjonarne Poziom pierwszego stopnia
Tytuł zawodowy absolwenta
Obszary studiów
Profil
Moduł
Przedmiot NUMERICAL AND ANALYTICAL METHODS WITH MATLAB
Specjalność przedmiot wspólny
Jednostka prowadząca Instytut Inżynierii Chemicznej i Procesów Ochrony Środowiska
Nauczyciel odpowiedzialny Konrad Witkiewicz <Konrad.Witkiewicz@zut.edu.pl>
Inni nauczyciele Konrad Witkiewicz <Konrad.Witkiewicz@zut.edu.pl>
ECTS (planowane) 4,0 ECTS (formy) 4,0
Forma zaliczenia zaliczenie Język polski
Blok obieralny Grupa obieralna

Formy dydaktyczne

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

Wymagania wstępne

KODWymaganie wstępne
W-1Basic knowledge of mathematics.

Cele przedmiotu

KODCel modułu/przedmiotu
C-1The student will be able to: 1. Demonstrate basic knowledge Matlab functions and instructions. 2. Identify the various types of numerical and analytical methods of problem solution.
C-2Student will be able to solve typical problems associated with chemical and process engineering using Matlab with Simulink.

Treści programowe z podziałem na formy zajęć

KODTreść programowaGodziny
ćwiczenia audytoryjne
T-A-1Solving of problems presented on lectures with computer assistance.30
30
wykłady
T-W-1Numerical modeling for engineering. Matlab fundamentals. Matrices. Roots of algebraic and transcendental equations. Numerical integration. Numerical integration of ordinary differential equations (ODE). Curve fitting. Optimization. Partial differential equations. Iteration method. Laplace transforms. Solution of equations: linear equations, nonlinear equations and nonlinear equation systems, ordinary differential equations (ODE), types of equations and boundary conditions, Matlab numerical integrators, stiff ordinary differential equations, unsteady-state processes, nonlinear dynamics. Solution of partial differential equations: first and second order equations, initial value and boundary value problems, steady-state and unsteady-state. Numerical solution method (Initial value problem). Approximate methods for boundary value problems: weighted residuals. Solution of the selected problems in chemical engineering: basic principles and calculations, problems of regression and correlation of data, advanced solution methods in problem solving. Thermodynamics. Heat transfer. Mass transfer. Problems of fluid mechanics. Examples of selected problems: variation of reaction rate with temperature, shooting method for solving two-point boundary value problems, fugacity coefficients for ammonia – experimental and predicted, optimal pipe length for draining a cylindrical tank in turbulent flow, unsteady-state conduction in two dimensions, simultaneous heat and mass transfer in catalyst particles, etc.30
30

Obciążenie pracą studenta - formy aktywności

KODForma aktywnościGodziny
ćwiczenia audytoryjne
A-A-1participation in class28
A-A-2Written test2
A-A-3Self-study of the literature30
60
wykłady
A-W-1Participation in lectures28
A-W-2Written exam2
A-W-3Self-study of the literature30
60

Metody nauczania / narzędzia dydaktyczne

KODMetoda nauczania / narzędzie dydaktyczne
M-1Lecture
M-2Computer laboratory

Sposoby oceny

KODSposób oceny
S-1Ocena formująca: Lecture: written exam
S-2Ocena formująca: Computer laboratory: 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_1-_??_W01
Student demonstrates knowledge of Matlab functions and instructions and identifies various types of numerical methods.
C-1T-W-1M-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_1-_??_U01
Student can solve fundamental problems associated with chemical and process engineering using Matlab.
C-2T-A-1M-2S-2

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_1-_??_K01
Student understands the need for continuous training and development in the field of engineering calculations.
C-2T-A-1, T-W-1M-2, M-1S-1, S-2

Kryterium oceny - wiedza

Efekt kształceniaOcenaKryterium oceny
WM-WTiICh_1-_??_W01
Student demonstrates knowledge of Matlab functions and instructions and identifies various types of numerical methods.
2,0
3,0Student demonstrates basic knowledge of Matlab functions and numerical methods.
3,5
4,0
4,5
5,0

Kryterium oceny - umiejętności

Efekt kształceniaOcenaKryterium oceny
WM-WTiICh_1-_??_U01
Student can solve fundamental problems associated with chemical and process engineering using Matlab.
2,0
3,0Student can solve simple problems associated with chemical and process engineering using Matlab.
3,5
4,0
4,5
5,0

Kryterium oceny - inne kompetencje społeczne i personalne

Efekt kształceniaOcenaKryterium oceny
WM-WTiICh_1-_??_K01
Student understands the need for continuous training and development in the field of engineering calculations.
2,0
3,0Student understands at the basic level the need for continuous training and development in the field of engineering calculations.
3,5
4,0
4,5
5,0

Literatura podstawowa

  1. A. Gilat, V. Subramanian, Numerical methods: An introduction with applications using Matlab, John Wiley & Sons, Inc., New York, 2011
  2. M.B. Cutlip, M. Shacham, Problem solving in chemical engineering with numerical methods, Prentice Hall International Series in the Physical and Chemical Engineering Sciences, New Jersey, 1999
  3. H. Moore, Matlab for engineers, Pearson Education International, New York, 2007, 2nd ed.
  4. W. Bober, C-T Tsai, O. Masory, Numerical and analytical methods with Matlab, CRC Press – Taylor & Francis Group, London, 2009
  5. L. Fausett, Numerical methods using Matlab, Prentice Hall, Pearson Education Ltd., London, 2007, 2nd ed.

Treści programowe - ćwiczenia audytoryjne

KODTreść programowaGodziny
T-A-1Solving of problems presented on lectures with computer assistance.30
30

Treści programowe - wykłady

KODTreść programowaGodziny
T-W-1Numerical modeling for engineering. Matlab fundamentals. Matrices. Roots of algebraic and transcendental equations. Numerical integration. Numerical integration of ordinary differential equations (ODE). Curve fitting. Optimization. Partial differential equations. Iteration method. Laplace transforms. Solution of equations: linear equations, nonlinear equations and nonlinear equation systems, ordinary differential equations (ODE), types of equations and boundary conditions, Matlab numerical integrators, stiff ordinary differential equations, unsteady-state processes, nonlinear dynamics. Solution of partial differential equations: first and second order equations, initial value and boundary value problems, steady-state and unsteady-state. Numerical solution method (Initial value problem). Approximate methods for boundary value problems: weighted residuals. Solution of the selected problems in chemical engineering: basic principles and calculations, problems of regression and correlation of data, advanced solution methods in problem solving. Thermodynamics. Heat transfer. Mass transfer. Problems of fluid mechanics. Examples of selected problems: variation of reaction rate with temperature, shooting method for solving two-point boundary value problems, fugacity coefficients for ammonia – experimental and predicted, optimal pipe length for draining a cylindrical tank in turbulent flow, unsteady-state conduction in two dimensions, simultaneous heat and mass transfer in catalyst particles, etc.30
30

Formy aktywności - ćwiczenia audytoryjne

KODForma aktywnościGodziny
A-A-1participation in class28
A-A-2Written test2
A-A-3Self-study of the literature30
60
(*) 1 punkt ECTS, odpowiada około 30 godzinom aktywności studenta

Formy aktywności - wykłady

KODForma aktywnościGodziny
A-W-1Participation in lectures28
A-W-2Written exam2
A-W-3Self-study of the literature30
60
(*) 1 punkt ECTS, odpowiada około 30 godzinom aktywności studenta
PoleKODZnaczenie kodu
Zamierzone efekty kształceniaWM-WTiICh_1-_??_W01Student demonstrates knowledge of Matlab functions and instructions and identifies various types of numerical methods.
Cel przedmiotuC-1The student will be able to: 1. Demonstrate basic knowledge Matlab functions and instructions. 2. Identify the various types of numerical and analytical methods of problem solution.
Treści programoweT-W-1Numerical modeling for engineering. Matlab fundamentals. Matrices. Roots of algebraic and transcendental equations. Numerical integration. Numerical integration of ordinary differential equations (ODE). Curve fitting. Optimization. Partial differential equations. Iteration method. Laplace transforms. Solution of equations: linear equations, nonlinear equations and nonlinear equation systems, ordinary differential equations (ODE), types of equations and boundary conditions, Matlab numerical integrators, stiff ordinary differential equations, unsteady-state processes, nonlinear dynamics. Solution of partial differential equations: first and second order equations, initial value and boundary value problems, steady-state and unsteady-state. Numerical solution method (Initial value problem). Approximate methods for boundary value problems: weighted residuals. Solution of the selected problems in chemical engineering: basic principles and calculations, problems of regression and correlation of data, advanced solution methods in problem solving. Thermodynamics. Heat transfer. Mass transfer. Problems of fluid mechanics. Examples of selected problems: variation of reaction rate with temperature, shooting method for solving two-point boundary value problems, fugacity coefficients for ammonia – experimental and predicted, optimal pipe length for draining a cylindrical tank in turbulent flow, unsteady-state conduction in two dimensions, simultaneous heat and mass transfer in catalyst particles, etc.
Metody nauczaniaM-1Lecture
Sposób ocenyS-1Ocena formująca: Lecture: written exam
Kryteria ocenyOcenaKryterium oceny
2,0
3,0Student demonstrates basic knowledge of Matlab functions and numerical methods.
3,5
4,0
4,5
5,0
PoleKODZnaczenie kodu
Zamierzone efekty kształceniaWM-WTiICh_1-_??_U01Student can solve fundamental problems associated with chemical and process engineering using Matlab.
Cel przedmiotuC-2Student will be able to solve typical problems associated with chemical and process engineering using Matlab with Simulink.
Treści programoweT-A-1Solving of problems presented on lectures with computer assistance.
Metody nauczaniaM-2Computer laboratory
Sposób ocenyS-2Ocena formująca: Computer laboratory: test
Kryteria ocenyOcenaKryterium oceny
2,0
3,0Student can solve simple problems associated with chemical and process engineering using Matlab.
3,5
4,0
4,5
5,0
PoleKODZnaczenie kodu
Zamierzone efekty kształceniaWM-WTiICh_1-_??_K01Student understands the need for continuous training and development in the field of engineering calculations.
Cel przedmiotuC-2Student will be able to solve typical problems associated with chemical and process engineering using Matlab with Simulink.
Treści programoweT-A-1Solving of problems presented on lectures with computer assistance.
T-W-1Numerical modeling for engineering. Matlab fundamentals. Matrices. Roots of algebraic and transcendental equations. Numerical integration. Numerical integration of ordinary differential equations (ODE). Curve fitting. Optimization. Partial differential equations. Iteration method. Laplace transforms. Solution of equations: linear equations, nonlinear equations and nonlinear equation systems, ordinary differential equations (ODE), types of equations and boundary conditions, Matlab numerical integrators, stiff ordinary differential equations, unsteady-state processes, nonlinear dynamics. Solution of partial differential equations: first and second order equations, initial value and boundary value problems, steady-state and unsteady-state. Numerical solution method (Initial value problem). Approximate methods for boundary value problems: weighted residuals. Solution of the selected problems in chemical engineering: basic principles and calculations, problems of regression and correlation of data, advanced solution methods in problem solving. Thermodynamics. Heat transfer. Mass transfer. Problems of fluid mechanics. Examples of selected problems: variation of reaction rate with temperature, shooting method for solving two-point boundary value problems, fugacity coefficients for ammonia – experimental and predicted, optimal pipe length for draining a cylindrical tank in turbulent flow, unsteady-state conduction in two dimensions, simultaneous heat and mass transfer in catalyst particles, etc.
Metody nauczaniaM-2Computer laboratory
M-1Lecture
Sposób ocenyS-1Ocena formująca: Lecture: written exam
S-2Ocena formująca: Computer laboratory: test
Kryteria ocenyOcenaKryterium oceny
2,0
3,0Student understands at the basic level the need for continuous training and development in the field of engineering calculations.
3,5
4,0
4,5
5,0