Zachodniopomorski Uniwersytet Technologiczny w Szczecinie

Administracja Centralna Uczelni - Wymiana międzynarodowa (S1)

Sylabus przedmiotu MODELING AND SIMULATION IN CHEMICAL ENGINEERING:

Informacje podstawowe

Kierunek studiów Wymiana międzynarodowa
Forma studiów studia stacjonarne Poziom pierwszego stopnia
Tytuł zawodowy absolwenta
Obszary studiów
Profil
Moduł
Przedmiot MODELING AND SIMULATION IN CHEMICAL ENGINEERING
Specjalność przedmiot wspólny
Jednostka prowadząca Katedra Inżynierii Chemicznej i Procesowej
Nauczyciel odpowiedzialny Anna Story <Anna.Story@zut.edu.pl>
Inni nauczyciele
ECTS (planowane) 7,0 ECTS (formy) 7,0
Forma zaliczenia zaliczenie Język angielski
Blok obieralny Grupa obieralna

Formy dydaktyczne

Forma dydaktycznaKODSemestrGodzinyECTSWagaZaliczenie
wykładyW1 30 2,00,60zaliczenie
laboratoriaL1 45 5,00,40zaliczenie

Wymagania wstępne

KODWymaganie wstępne
W-1Mathematics. Fundamentals of chemical engineering.

Cele przedmiotu

KODCel modułu/przedmiotu
C-1The student will be able to: 1. Develop of process models based on conservation laws and process data. 2. Use computational techniques to solve the process models. 3. Use simulation tools such as MATLAB, POLYMATH, and ASPEN PLUS.

Treści programowe z podziałem na formy zajęć

KODTreść programowaGodziny
laboratoria
T-L-1MATLAB Basics3
T-L-2Curve-Fitting3
T-L-3Numerical Integration3
T-L-4A System of Algebraic Equations3
T-L-5Solving Differential Equations6
T-L-6Solving selected problems from chemical engineering in Matlab9
T-L-7Introducing Aspen Plus3
T-L-8Aspen Plus Flowsheet Features6
T-L-9Simulation of selected problems from chemical engineering in Aspen Plus9
45
wykłady
T-W-1Formulation of physicochemical problems2
T-W-2Development of exemplary mathematical models8
T-W-3Classification of mathematical models2
T-W-4Reducing mathematical models4
T-W-5Error estimations2
T-W-6Numerical methods for ordinary differential equations, ODEs2
T-W-7Methods for boundary value problems2
T-W-8Numerical methods for partial differential equations, PDEs2
T-W-9Statistical analysis of mathematical models4
T-W-10Written test2
30

Obciążenie pracą studenta - formy aktywności

KODForma aktywnościGodziny
laboratoria
A-L-1Participation in laboratories45
A-L-2Literature studies and repetition of the laboratories content30
A-L-3Preparation of reports in MATLAB20
A-L-4Preparation of reports in Aspen Plus20
A-L-5One-on-one teaching consultations10
125
wykłady
A-W-1Obligatory attendance the lectures30
A-W-2Literature study on the topics discussed within the frame of the lectures4
A-W-3Remembering, understanding and analyzing of the lectures content4
A-W-4One-on-One teaching consultations2
A-W-5Repetition of the lectures content to the exam10
50

Metody nauczania / narzędzia dydaktyczne

KODMetoda nauczania / narzędzie dydaktyczne
M-1Lecture illustrated by Power Point presentation
M-2Numerical analysis by solving chemical engineering problems using MATLAB.
M-3Numerical analysis by solving chemical engineering problems using Aspen TECH.

Sposoby oceny

KODSposób oceny
S-1Ocena podsumowująca: Written final exam based on the lecture contents.
S-2Ocena formująca: Mid-term exam 1 - MATLAB.
S-3Ocena formująca: Mid-term exam 2 - Aspen TECH

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
The student will be able to develop of process models based on conservation laws and process data.
C-1T-W-9, T-W-4, T-W-3, T-W-6, T-W-1, T-W-8, T-W-5, T-W-7, T-W-2M-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
The student will be able to use computational techniques to solve the process models.
C-1T-L-4, T-L-8, T-L-7, T-L-5, T-L-1, T-L-6, T-L-3, T-L-2, T-L-9M-3, M-2S-2, S-3

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
The student will be able to use simulation tools such as MATLAB, POLYMATH, and ASPEN PLUS.
C-1T-L-4, T-L-2, T-L-9, T-L-8, T-L-6, T-L-3, T-L-5, T-L-1, T-L-7M-2, M-3S-3, S-2

Kryterium oceny - wiedza

Efekt uczenia sięOcenaKryterium oceny
WM-WTiICh_1-_null_W01
The student will be able to develop of process models based on conservation laws and process data.
2,0
3,0The student is able to develop of process models based on conservation laws and process data.
3,5
4,0
4,5
5,0

Kryterium oceny - umiejętności

Efekt uczenia sięOcenaKryterium oceny
WM-WTiICh_1-_null_U01
The student will be able to use computational techniques to solve the process models.
2,0
3,0The student is able to use computational techniques to solve the process models.
3,5
4,0
4,5
5,0

Kryterium oceny - inne kompetencje społeczne i personalne

Efekt uczenia sięOcenaKryterium oceny
WM-WTiICh_1-_null_K01
The student will be able to use simulation tools such as MATLAB, POLYMATH, and ASPEN PLUS.
2,0
3,0The student is able to use simulation tools such as MATLAB, POLYMATH, and ASPEN PLUS.
3,5
4,0
4,5
5,0

Literatura podstawowa

  1. Hangos K.M., Cameron L.T., Process modelling and model analysis, Academic Press, San Diego, 2001
  2. Rice R.G., Do D.D., Applied mathematics and modeling for chemical engineers, Wiley, New York, 2011
  3. Finlayson B.A., Introduction to chemical engineering computing, Wiley, New York, 2005

Literatura dodatkowa

  1. Ingham J., Dunn I.J., Heinzle E., Prenosil J.E., Snape J.B., Chemical engineering dynamics, Wiley, Weinheim, 2007
  2. Dobre T.G., Marcano J.G.S., Chemical engineering. Modelling, simulation and similitude, Wiley, Weinheim, 2007

Treści programowe - laboratoria

KODTreść programowaGodziny
T-L-1MATLAB Basics3
T-L-2Curve-Fitting3
T-L-3Numerical Integration3
T-L-4A System of Algebraic Equations3
T-L-5Solving Differential Equations6
T-L-6Solving selected problems from chemical engineering in Matlab9
T-L-7Introducing Aspen Plus3
T-L-8Aspen Plus Flowsheet Features6
T-L-9Simulation of selected problems from chemical engineering in Aspen Plus9
45

Treści programowe - wykłady

KODTreść programowaGodziny
T-W-1Formulation of physicochemical problems2
T-W-2Development of exemplary mathematical models8
T-W-3Classification of mathematical models2
T-W-4Reducing mathematical models4
T-W-5Error estimations2
T-W-6Numerical methods for ordinary differential equations, ODEs2
T-W-7Methods for boundary value problems2
T-W-8Numerical methods for partial differential equations, PDEs2
T-W-9Statistical analysis of mathematical models4
T-W-10Written test2
30

Formy aktywności - laboratoria

KODForma aktywnościGodziny
A-L-1Participation in laboratories45
A-L-2Literature studies and repetition of the laboratories content30
A-L-3Preparation of reports in MATLAB20
A-L-4Preparation of reports in Aspen Plus20
A-L-5One-on-one teaching consultations10
125
(*) 1 punkt ECTS, odpowiada około 30 godzinom aktywności studenta

Formy aktywności - wykłady

KODForma aktywnościGodziny
A-W-1Obligatory attendance the lectures30
A-W-2Literature study on the topics discussed within the frame of the lectures4
A-W-3Remembering, understanding and analyzing of the lectures content4
A-W-4One-on-One teaching consultations2
A-W-5Repetition of the lectures content to the exam10
50
(*) 1 punkt ECTS, odpowiada około 30 godzinom aktywności studenta
PoleKODZnaczenie kodu
Zamierzone efekty uczenia sięWM-WTiICh_1-_null_W01The student will be able to develop of process models based on conservation laws and process data.
Cel przedmiotuC-1The student will be able to: 1. Develop of process models based on conservation laws and process data. 2. Use computational techniques to solve the process models. 3. Use simulation tools such as MATLAB, POLYMATH, and ASPEN PLUS.
Treści programoweT-W-9Statistical analysis of mathematical models
T-W-4Reducing mathematical models
T-W-3Classification of mathematical models
T-W-6Numerical methods for ordinary differential equations, ODEs
T-W-1Formulation of physicochemical problems
T-W-8Numerical methods for partial differential equations, PDEs
T-W-5Error estimations
T-W-7Methods for boundary value problems
T-W-2Development of exemplary mathematical models
Metody nauczaniaM-1Lecture illustrated by Power Point presentation
Sposób ocenyS-1Ocena podsumowująca: Written final exam based on the lecture contents.
Kryteria ocenyOcenaKryterium oceny
2,0
3,0The student is able to develop of process models based on conservation laws and process data.
3,5
4,0
4,5
5,0
PoleKODZnaczenie kodu
Zamierzone efekty uczenia sięWM-WTiICh_1-_null_U01The student will be able to use computational techniques to solve the process models.
Cel przedmiotuC-1The student will be able to: 1. Develop of process models based on conservation laws and process data. 2. Use computational techniques to solve the process models. 3. Use simulation tools such as MATLAB, POLYMATH, and ASPEN PLUS.
Treści programoweT-L-4A System of Algebraic Equations
T-L-8Aspen Plus Flowsheet Features
T-L-7Introducing Aspen Plus
T-L-5Solving Differential Equations
T-L-1MATLAB Basics
T-L-6Solving selected problems from chemical engineering in Matlab
T-L-3Numerical Integration
T-L-2Curve-Fitting
T-L-9Simulation of selected problems from chemical engineering in Aspen Plus
Metody nauczaniaM-3Numerical analysis by solving chemical engineering problems using Aspen TECH.
M-2Numerical analysis by solving chemical engineering problems using MATLAB.
Sposób ocenyS-2Ocena formująca: Mid-term exam 1 - MATLAB.
S-3Ocena formująca: Mid-term exam 2 - Aspen TECH
Kryteria ocenyOcenaKryterium oceny
2,0
3,0The student is able to use computational techniques to solve the process models.
3,5
4,0
4,5
5,0
PoleKODZnaczenie kodu
Zamierzone efekty uczenia sięWM-WTiICh_1-_null_K01The student will be able to use simulation tools such as MATLAB, POLYMATH, and ASPEN PLUS.
Cel przedmiotuC-1The student will be able to: 1. Develop of process models based on conservation laws and process data. 2. Use computational techniques to solve the process models. 3. Use simulation tools such as MATLAB, POLYMATH, and ASPEN PLUS.
Treści programoweT-L-4A System of Algebraic Equations
T-L-2Curve-Fitting
T-L-9Simulation of selected problems from chemical engineering in Aspen Plus
T-L-8Aspen Plus Flowsheet Features
T-L-6Solving selected problems from chemical engineering in Matlab
T-L-3Numerical Integration
T-L-5Solving Differential Equations
T-L-1MATLAB Basics
T-L-7Introducing Aspen Plus
Metody nauczaniaM-2Numerical analysis by solving chemical engineering problems using MATLAB.
M-3Numerical analysis by solving chemical engineering problems using Aspen TECH.
Sposób ocenyS-3Ocena formująca: Mid-term exam 2 - Aspen TECH
S-2Ocena formująca: Mid-term exam 1 - MATLAB.
Kryteria ocenyOcenaKryterium oceny
2,0
3,0The student is able to use simulation tools such as MATLAB, POLYMATH, and ASPEN PLUS.
3,5
4,0
4,5
5,0