Zachodniopomorski Uniwersytet Technologiczny w Szczecinie

Wydział Technologii i Inżynierii Chemicznej - Chemical Engineering (S1)

Sylabus przedmiotu Introduction to Modeling, Simulation and Numerical Methods Applied to Chemical Engineering:

Informacje podstawowe

Kierunek studiów Chemical Engineering
Forma studiów studia stacjonarne Poziom pierwszego stopnia
Tytuł zawodowy absolwenta inżynier
Obszary studiów charakterystyki PRK, kompetencje inżynierskie PRK
Profil ogólnoakademicki
Moduł —
Przedmiot Introduction to Modeling, Simulation and Numerical Methods Applied to Chemical Engineering
Specjalność przedmiot wspólny
Jednostka prowadząca Katedra Inżynierii Chemicznej i Procesowej
Nauczyciel odpowiedzialny Anna Story <Anna.Story@zut.edu.pl>
Inni nauczyciele Tomasz Aleksandrzak <Tomasz.Aleksandrzak@zut.edu.pl>, Bogdan Ambrożek <Bogdan.Ambrozek@zut.edu.pl>, Paulina Pianko-Oprych <Paulina.Pianko@zut.edu.pl>, Anna Story <Anna.Story@zut.edu.pl>, Konrad Witkiewicz <Konrad.Witkiewicz@zut.edu.pl>, Katarzyna Ziętarska <kzietarska@zut.edu.pl>
ECTS (planowane) 5,0 ECTS (formy) 5,0
Forma zaliczenia zaliczenie Język angielski
Blok obieralny 3 Grupa obieralna 1

Formy dydaktyczne

Forma dydaktycznaKODSemestrGodzinyECTSWagaZaliczenie
laboratoriaL4 45 3,00,50zaliczenie
wykładyW4 30 2,00,50zaliczenie

Wymagania wstępne

KODWymaganie wstępne
W-1Mathematics
W-2Physics
W-3Thermodynamics

Cele przedmiotu

KODCel modułu/przedmiotu
C-1This course focuses on the use of modern computational and mathematical techniques in chemical engineering. Starting from a discussion of linear systems as the basic computational unit in scientific computing, methods for solving sets of nonlinear algebraic equations, ordinary differential equations, and differential-algebraic (DAE) systems are presented. Mathematical modelling of steady-state and dynamic chemical engineering systems is discussed. Basic optimization theory and algorithms with applications to chemical engineering problems are discussed. Process simulation techniques are presented. Utilization of mass, energy and momentum balances and rate processes to describe the behaviour of chemical engineering systems will be shown. The use of these techniques will be demonstrated throughout the course in the MATLAB and Aspen TECH computing environments.

Treści programowe z podziałem na formy zajęć

KODTreść programowaGodziny
laboratoria
T-L-1MATLAB Basics (AT, AB, WK, ZK)3
T-L-2Curve-Fitting (AT, AB, WK, ZK)3
T-L-3Numerical Integration (AT, AB, WK, ZK)3
T-L-4A System of Algebraic Equations (AT, AB, WK, ZK)3
T-L-5Solving Differential Equations (AT, AB, PPO, SA, WK, ZK)6
T-L-6Solving selected problems from chemical engineering in Matlab (AT, AB, PPO, SA, WK, ZK)9
T-L-7Introducing Aspen Plus (PPO, SA)3
T-L-8Aspen Plus Flowsheet Features (PPO, SA)6
T-L-9Simulation of selected problems from chemical engineering in Aspen Plus (PPO, SA)9
45
wykłady
T-W-1Formulation of physicochemical problems (AT, AB, WK)3
T-W-2Classification of mathematical models (AT, AB, WK)3
T-W-3Reducing mathematical models (AT, AB, WK)3
T-W-4Error estimations (AT, AB, WK)3
T-W-5Numerical methods for ordinary differential equations, ODEs (AT, AB, PPO, SA, WK)6
T-W-6Methods for boundary value problems (AT, AB, PPO, SA, WK)3
T-W-7Numerical methods for partial differential equations, PDEs (AT, AB, PPO, SA, WK)3
T-W-8Statistical analysis of mathematical models (AT, AB, PPO, SA, WK)6
30

Obciążenie pracą studenta - formy aktywności

KODForma aktywnościGodziny
laboratoria
A-L-1Participation in laboratories45
A-L-2Preparation of reports in MATLAB20
A-L-3Preparation of reports in Aspen Plus10
A-L-4One-on-one teaching consultations6
A-L-5Literature studies10
91
wykłady
A-W-1Lecture participation30
A-W-2Individual literature studies20
A-W-3One-on-one teaching consultations5
A-W-4Repetition of the lecture content to the written test5
60

Metody nauczania / narzędzia dydaktyczne

KODMetoda nauczania / narzędzie dydaktyczne
M-1Preparation of a multimedia for of lecture 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 kształceniaOdniesienie do efektów uczenia się prowadzących do uzyskania tytułu zawodowego inżynieraCel przedmiotuTreści programoweMetody nauczaniaSposób oceny
ChEn_1A_C08a_W01
Students can formulate mathematical models and translate them into forms appropriate for computation. Students can identify problem structure, scale and complexity.		ChEn_1A_W07, ChEn_1A_W08, ChEn_1A_W15, ChEn_1A_W06——C-1T-W-3, T-W-2, T-W-8, T-W-6, T-W-4, T-W-5, T-W-1, T-W-7M-1S-1

Zamierzone efekty uczenia się - umiejętności

Zamierzone efekty uczenia sięOdniesienie do efektów kształcenia dla kierunku studiówOdniesienie do efektów zdefiniowanych dla obszaru kształceniaOdniesienie do efektów uczenia się prowadzących do uzyskania tytułu zawodowego inżynieraCel przedmiotuTreści programoweMetody nauczaniaSposób oceny
ChEn_1A_C08a_U01
Students have a working knowledge of MATLAB and AspenTech. Students can produce working code to solve com- mon chemical engineering problems including steady-state and dynamic simulatin. Students can readily interpret results and output.		ChEn_1A_U07, ChEn_1A_U01, ChEn_1A_U03, ChEn_1A_U05, ChEn_1A_U08, ChEn_1A_U09, ChEn_1A_U16——C-1T-L-8, T-L-2, T-L-5, T-L-3, T-L-4, T-L-7, T-L-1, T-L-9, T-L-6M-2, M-3S-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 kształceniaOdniesienie do efektów uczenia się prowadzących do uzyskania tytułu zawodowego inżynieraCel przedmiotuTreści programoweMetody nauczaniaSposób oceny
ChEn_1A_C08a_K01
Students can select methods and software based on problem types. Students can defend the selection of methods and software based on characteristics such as convergence properties, time complexity, storage complexity, accuracy, and limitations with respect to specific problems.		ChEn_1A_K01, ChEn_1A_K03, ChEn_1A_K04, ChEn_1A_K05——C-1T-L-8, T-L-2, T-L-5, T-L-3, T-L-4, T-L-7, T-L-1, T-L-9, T-L-6M-2, M-3S-2, S-3

Kryterium oceny - wiedza

Efekt uczenia sięOcenaKryterium oceny
ChEn_1A_C08a_W01
Students can formulate mathematical models and translate them into forms appropriate for computation. Students can identify problem structure, scale and complexity.		2,0Unacceptable understanding of course material.
3,0Serious deficiencies in understanding the core subject material.
3,5Some deficiencies in understanding the subject material.
4,0Some deficiencies in understanding the core subject material.
4,5Some mild deficiencies in Mastery of subject material.
5,0Complete Mastery of subject material.

Kryterium oceny - umiejętności

Efekt uczenia sięOcenaKryterium oceny
ChEn_1A_C08a_U01
Students have a working knowledge of MATLAB and AspenTech. Students can produce working code to solve com- mon chemical engineering problems including steady-state and dynamic simulatin. Students can readily interpret results and output.		2,0Unacceptable understanding of course material.
3,0Serious deficiencies in understanding the core subject material.
3,5Some deficiencies in understanding the subject material.
4,0Some deficiencies in understanding the core subject material.
4,5Some mild deficiencies in Mastery of subject material.
5,0Complete Mastery of subject material.

Kryterium oceny - inne kompetencje społeczne i personalne

Efekt uczenia sięOcenaKryterium oceny
ChEn_1A_C08a_K01
Students can select methods and software based on problem types. Students can defend the selection of methods and software based on characteristics such as convergence properties, time complexity, storage complexity, accuracy, and limitations with respect to specific problems.		2,0Unacceptable understanding of course material.
3,0Serious deficiencies in understanding the core subject material.
3,5Some deficiencies in understanding the subject material.
4,0Some deficiencies in understanding the core subject material.
4,5Some mild deficiencies in Mastery of subject material.
5,0Complete Mastery of subject material.

Literatura podstawowa

  1. B.A. Finlayson, Introduction to chemical engineering computing, John Wiley & Sons, Inc., New Jersey, 2006
  2. K.I.M. Al-Malah, MATLAB Numerical Methods with Chemical Engineering Applications, McGraw-Hill Education, 2014

Literatura dodatkowa

  1. R.G. Rice, D.D. Do, Applied mathematics and modeling for chemical engineers, John Wiley & Sons, Inc., New York, 2012
  2. Drfman K. D., Prodromos D., Numerical Methods with Chemical Engineer- ing Applications, Cambridge University Press, 2017, 9781107135116
  3. K.I.M. Al-Malah, Aspen Plus Chemical Engineering Applications, John Wiley & Sons, Inc., New Jersey, 2017

Treści programowe - laboratoria

KODTreść programowaGodziny
T-L-1MATLAB Basics (AT, AB, WK, ZK)3
T-L-2Curve-Fitting (AT, AB, WK, ZK)3
T-L-3Numerical Integration (AT, AB, WK, ZK)3
T-L-4A System of Algebraic Equations (AT, AB, WK, ZK)3
T-L-5Solving Differential Equations (AT, AB, PPO, SA, WK, ZK)6
T-L-6Solving selected problems from chemical engineering in Matlab (AT, AB, PPO, SA, WK, ZK)9
T-L-7Introducing Aspen Plus (PPO, SA)3
T-L-8Aspen Plus Flowsheet Features (PPO, SA)6
T-L-9Simulation of selected problems from chemical engineering in Aspen Plus (PPO, SA)9
45

Treści programowe - wykłady

KODTreść programowaGodziny
T-W-1Formulation of physicochemical problems (AT, AB, WK)3
T-W-2Classification of mathematical models (AT, AB, WK)3
T-W-3Reducing mathematical models (AT, AB, WK)3
T-W-4Error estimations (AT, AB, WK)3
T-W-5Numerical methods for ordinary differential equations, ODEs (AT, AB, PPO, SA, WK)6
T-W-6Methods for boundary value problems (AT, AB, PPO, SA, WK)3
T-W-7Numerical methods for partial differential equations, PDEs (AT, AB, PPO, SA, WK)3
T-W-8Statistical analysis of mathematical models (AT, AB, PPO, SA, WK)6
30

Formy aktywności - laboratoria

KODForma aktywnościGodziny
A-L-1Participation in laboratories45
A-L-2Preparation of reports in MATLAB20
A-L-3Preparation of reports in Aspen Plus10
A-L-4One-on-one teaching consultations6
A-L-5Literature studies10
91
(*) 1 punkt ECTS, odpowiada około 30 godzinom aktywności studenta

Formy aktywności - wykłady

KODForma aktywnościGodziny
A-W-1Lecture participation30
A-W-2Individual literature studies20
A-W-3One-on-one teaching consultations5
A-W-4Repetition of the lecture content to the written test5
60
(*) 1 punkt ECTS, odpowiada około 30 godzinom aktywności studenta
PoleKODZnaczenie kodu
Zamierzone efekty uczenia sięChEn_1A_C08a_W01Students can formulate mathematical models and translate them into forms appropriate for computation. Students can identify problem structure, scale and complexity.
Odniesienie do efektów kształcenia dla kierunku studiówChEn_1A_W07Has systematic, theory-based general knowledge within the scope of chemical engineering and technology.
ChEn_1A_W08Has systematic, theory-based knowledge of the key issues in chemical engineering and technology connected with the unit operations and processes.
ChEn_1A_W15Knows basic methods, techniques, tools and materials used for solving simple engineering tasks within the scope of chemical engineering and technology.
ChEn_1A_W06Has basic knowledge within the scope of product and quality engineering.
Cel przedmiotuC-1This course focuses on the use of modern computational and mathematical techniques in chemical engineering. Starting from a discussion of linear systems as the basic computational unit in scientific computing, methods for solving sets of nonlinear algebraic equations, ordinary differential equations, and differential-algebraic (DAE) systems are presented. Mathematical modelling of steady-state and dynamic chemical engineering systems is discussed. Basic optimization theory and algorithms with applications to chemical engineering problems are discussed. Process simulation techniques are presented. Utilization of mass, energy and momentum balances and rate processes to describe the behaviour of chemical engineering systems will be shown. The use of these techniques will be demonstrated throughout the course in the MATLAB and Aspen TECH computing environments.
Treści programoweT-W-3Reducing mathematical models (AT, AB, WK)
T-W-2Classification of mathematical models (AT, AB, WK)
T-W-8Statistical analysis of mathematical models (AT, AB, PPO, SA, WK)
T-W-6Methods for boundary value problems (AT, AB, PPO, SA, WK)
T-W-4Error estimations (AT, AB, WK)
T-W-5Numerical methods for ordinary differential equations, ODEs (AT, AB, PPO, SA, WK)
T-W-1Formulation of physicochemical problems (AT, AB, WK)
T-W-7Numerical methods for partial differential equations, PDEs (AT, AB, PPO, SA, WK)
Metody nauczaniaM-1Preparation of a multimedia for of lecture presentation
Sposób ocenyS-1Ocena podsumowująca: Written final exam based on the lecture contents.
Kryteria ocenyOcenaKryterium oceny
2,0Unacceptable understanding of course material.
3,0Serious deficiencies in understanding the core subject material.
3,5Some deficiencies in understanding the subject material.
4,0Some deficiencies in understanding the core subject material.
4,5Some mild deficiencies in Mastery of subject material.
5,0Complete Mastery of subject material.
PoleKODZnaczenie kodu
Zamierzone efekty uczenia sięChEn_1A_C08a_U01Students have a working knowledge of MATLAB and AspenTech. Students can produce working code to solve com- mon chemical engineering problems including steady-state and dynamic simulatin. Students can readily interpret results and output.
Odniesienie do efektów kształcenia dla kierunku studiówChEn_1A_U07Is able to use computer programs supporting the accomplishment of basic engineering tasks.
ChEn_1A_U01Is able to obtain information from literature, data bases and other sources related to chemical engineering and technology as well as related areas; is able to integrate the obtained information, interpret it, draw proper conclusions and formulate opinions with their justification.
ChEn_1A_U03Is able to prepare, in English or another foreign language, a well-documented study of problems within the scope of chemical and process engineering; is able to develop documentation concerning the accomplishment of an engineering task.
ChEn_1A_U05Has the ability to learn, e.g. to raise professional competences.
ChEn_1A_U08Is able to plan and conduct process experiments, including measurements and computer simulations, as well as to interpret the obtained results and draw conclusions.
ChEn_1A_U09Is able to use analytic, numerical and experimental methods to formulate and solve engineering tasks.
ChEn_1A_U16Is able to assess the usefulness of routine methods and tools used for solving a simple engineering task of practical nature characteristic for chemical engineering and technology as well as select and use a proper performance method and tools.
Cel przedmiotuC-1This course focuses on the use of modern computational and mathematical techniques in chemical engineering. Starting from a discussion of linear systems as the basic computational unit in scientific computing, methods for solving sets of nonlinear algebraic equations, ordinary differential equations, and differential-algebraic (DAE) systems are presented. Mathematical modelling of steady-state and dynamic chemical engineering systems is discussed. Basic optimization theory and algorithms with applications to chemical engineering problems are discussed. Process simulation techniques are presented. Utilization of mass, energy and momentum balances and rate processes to describe the behaviour of chemical engineering systems will be shown. The use of these techniques will be demonstrated throughout the course in the MATLAB and Aspen TECH computing environments.
Treści programoweT-L-8Aspen Plus Flowsheet Features (PPO, SA)
T-L-2Curve-Fitting (AT, AB, WK, ZK)
T-L-5Solving Differential Equations (AT, AB, PPO, SA, WK, ZK)
T-L-3Numerical Integration (AT, AB, WK, ZK)
T-L-4A System of Algebraic Equations (AT, AB, WK, ZK)
T-L-7Introducing Aspen Plus (PPO, SA)
T-L-1MATLAB Basics (AT, AB, WK, ZK)
T-L-9Simulation of selected problems from chemical engineering in Aspen Plus (PPO, SA)
T-L-6Solving selected problems from chemical engineering in Matlab (AT, AB, PPO, SA, WK, ZK)
Metody nauczaniaM-2Numerical analysis by solving chemical engineering problems using MATLAB.
M-3Numerical analysis by solving chemical engineering problems using Aspen TECH.
Sposób ocenyS-2Ocena formująca: Mid-term exam 1 - MATLAB.
S-3Ocena formująca: Mid-term exam 2 - Aspen TECH
Kryteria ocenyOcenaKryterium oceny
2,0Unacceptable understanding of course material.
3,0Serious deficiencies in understanding the core subject material.
3,5Some deficiencies in understanding the subject material.
4,0Some deficiencies in understanding the core subject material.
4,5Some mild deficiencies in Mastery of subject material.
5,0Complete Mastery of subject material.
PoleKODZnaczenie kodu
Zamierzone efekty uczenia sięChEn_1A_C08a_K01Students can select methods and software based on problem types. Students can defend the selection of methods and software based on characteristics such as convergence properties, time complexity, storage complexity, accuracy, and limitations with respect to specific problems.
Odniesienie do efektów kształcenia dla kierunku studiówChEn_1A_K01Understands the need of learning and raising professional and personal competences, motivating other colleagues.
ChEn_1A_K03Is able to cooperate and work in a group. Is able to perform the function of a team leader; is able to estimate the time necessary to accomplish the assigned task.
ChEn_1A_K04Is able to determine the priorities used for performance of the tasks of his/her own or other team members in order to achieve the goal set.
ChEn_1A_K05Is able to manage his/her own professional development, taking decisions and solving problems, including interpersonal ones connected with job performance.
Cel przedmiotuC-1This course focuses on the use of modern computational and mathematical techniques in chemical engineering. Starting from a discussion of linear systems as the basic computational unit in scientific computing, methods for solving sets of nonlinear algebraic equations, ordinary differential equations, and differential-algebraic (DAE) systems are presented. Mathematical modelling of steady-state and dynamic chemical engineering systems is discussed. Basic optimization theory and algorithms with applications to chemical engineering problems are discussed. Process simulation techniques are presented. Utilization of mass, energy and momentum balances and rate processes to describe the behaviour of chemical engineering systems will be shown. The use of these techniques will be demonstrated throughout the course in the MATLAB and Aspen TECH computing environments.
Treści programoweT-L-8Aspen Plus Flowsheet Features (PPO, SA)
T-L-2Curve-Fitting (AT, AB, WK, ZK)
T-L-5Solving Differential Equations (AT, AB, PPO, SA, WK, ZK)
T-L-3Numerical Integration (AT, AB, WK, ZK)
T-L-4A System of Algebraic Equations (AT, AB, WK, ZK)
T-L-7Introducing Aspen Plus (PPO, SA)
T-L-1MATLAB Basics (AT, AB, WK, ZK)
T-L-9Simulation of selected problems from chemical engineering in Aspen Plus (PPO, SA)
T-L-6Solving selected problems from chemical engineering in Matlab (AT, AB, PPO, SA, WK, ZK)
Metody nauczaniaM-2Numerical analysis by solving chemical engineering problems using MATLAB.
M-3Numerical analysis by solving chemical engineering problems using Aspen TECH.
Sposób ocenyS-2Ocena formująca: Mid-term exam 1 - MATLAB.
S-3Ocena formująca: Mid-term exam 2 - Aspen TECH
Kryteria ocenyOcenaKryterium oceny
2,0Unacceptable understanding of course material.
3,0Serious deficiencies in understanding the core subject material.
3,5Some deficiencies in understanding the subject material.
4,0Some deficiencies in understanding the core subject material.
4,5Some mild deficiencies in Mastery of subject material.
5,0Complete Mastery of subject material.