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 Technology:

Informacje podstawowe

Kierunek studiów Chemical Engineering
Forma studiów studia stacjonarne Poziom pierwszego stopnia
Tytuł zawodowy absolwenta inżynier
Obszary studiów nauki techniczne, studia inżynierskie
Profil ogólnoakademicki
Moduł —
Przedmiot Introduction to Modeling, Simulation and Numerical Methods Applied to Chemical Technology
Specjalność przedmiot wspólny
Jednostka prowadząca Katedra Fizykochemii Nanomateriałów
Nauczyciel odpowiedzialny Ryszard Kaleńczuk <Ryszard.Kalenczuk@zut.edu.pl>
Inni nauczyciele Xuecheng Chen <Xuecheng.Chen@zut.edu.pl>, Ryszard Kaleńczuk <Ryszard.Kalenczuk@zut.edu.pl>
ECTS (planowane) 5,0 ECTS (formy) 5,0
Forma zaliczenia zaliczenie Język angielski
Blok obieralny 3 Grupa obieralna 2

Formy dydaktyczne

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

Wymagania wstępne

KODWymaganie wstępne
W-1Mathematics
W-2Phisics
W-3Basic of Scientific Information

Cele przedmiotu

KODCel modułu/przedmiotu
C-1The aim of the course is to obtain knowledge by the student in the field of modeling of technological processes in the chemical industry
C-2The aim of the course is to shape Student's skills in the field of developing their own models for chemical technology and engineering processes.
C-3The aim of a goal is to acquire the development of thinking and acting in a creative, innovative and entrepreneurial way.

Treści programowe z podziałem na formy zajęć

KODTreść programowaGodziny
laboratoria
T-L-1Structure of the statistical program. Building data sets. Rules for creating variable names. Types of variables10
T-L-2Typing regression equations into data sets. Estimation of parameters in linear regression equations of various types for one variable. Parameter estimation for multi-variable regression equations. Selection of regression equation with statistically significant parameters - stepwise regression method.10
T-L-3Process modeling - flowsheeting. Work with the ChemCad program on the example of a selected technological processes.25
45
wykłady
T-W-1Introduction. Types of models. Preparation of data for modeling. Extreme planning.5
T-W-2Applying regression equations. Linear equations. The choice of the equation. Statistical estimation of parameter confidence intervals. Equations for many variables. The choice of the form of the equation and the number of variables. Discussing the procedure of "matching and rejecting" by stepwise regression. Nonlinear equations. Methods of estimating the parameters of the equation. Marquardt method.7
T-W-3Physicochemical modeling. Models of a tubular reactor. Types of models. One-dimensional model with assumption of plug flow. One-dimensional model with addition longitudinal dispersion. Two-dimensional model with radial effects. Methods of solving modeling equations. Heterogeneous models. The applicability of various types of models to real systems.7
T-W-4Process modeling - flowsheeting. Overview of the ChemCad program on the example of a selected technological process.11
30

Obciążenie pracą studenta - formy aktywności

KODForma aktywnościGodziny
laboratoria
A-L-1participation in laboratories45
A-L-2individual lerning20
A-L-3studing of literature12
A-L-4Consultation5
A-L-5written test8
90
wykłady
A-W-1Participation in lectures30
A-W-2Studying of literature10
A-W-3Preparing to examination at home20
60

Metody nauczania / narzędzia dydaktyczne

KODMetoda nauczania / narzędzie dydaktyczne
M-1Lecture supported by a multimedia presentation
M-2Laboratory exercises using a computer

Sposoby oceny

KODSposób oceny
S-1Ocena formująca: Control of the progress of tasks
S-2Ocena formująca: Evaluation of quality and completeness of performed tasks using a computer
S-3Ocena podsumowująca: test of knowledge

Zamierzone efekty kształcenia - wiedza

Zamierzone efekty kształceniaOdniesienie do efektów kształcenia dla kierunku studiówOdniesienie do efektów zdefiniowanych dla obszaru kształceniaOdniesienie do efektów kształcenia prowadzących do uzyskania tytułu zawodowego inżynieraCel przedmiotuTreści programoweMetody nauczaniaSposób oceny
ChEn_1A_C08b_W01
The student has knowledge in the development of modeling and calculations within the scope o fchemical engineering and technology		ChEn_1A_W07, ChEn_1A_W15, ChEn_1A_W06, ChEn_1A_W08——C-1T-W-4, T-W-3, T-W-1, T-W-2M-1S-3

Zamierzone efekty kształcenia - umiejętności

Zamierzone efekty kształceniaOdniesienie do efektów kształcenia dla kierunku studiówOdniesienie do efektów zdefiniowanych dla obszaru kształceniaOdniesienie do efektów kształcenia prowadzących do uzyskania tytułu zawodowego inżynieraCel przedmiotuTreści programoweMetody nauczaniaSposób oceny
ChEn_1A_C08b_U01
The student is able, based on the knowledge acquired in the field of the subject, to propose his own model for chemical engineering and technology processes.		ChEn_1A_U08, ChEn_1A_U07, ChEn_1A_U03, ChEn_1A_U01, ChEn_1A_U05, ChEn_1A_U09, ChEn_1A_U16——C-1T-L-1, T-L-2, T-L-3M-2S-2

Zamierzone efekty kształcenia - inne kompetencje społeczne i personalne

Zamierzone efekty kształceniaOdniesienie do efektów kształcenia dla kierunku studiówOdniesienie do efektów zdefiniowanych dla obszaru kształceniaOdniesienie do efektów kształcenia prowadzących do uzyskania tytułu zawodowego inżynieraCel przedmiotuTreści programoweMetody nauczaniaSposób oceny
ChEn_1A_C08b_K01
Student is able to think and acti in a creative, innovative and entrepreneurial way.		ChEn_1A_K05, ChEn_1A_K04, ChEn_1A_K03, ChEn_1A_K01——C-3T-L-2, T-L-3, T-L-1M-2S-1

Kryterium oceny - wiedza

Efekt kształceniaOcenaKryterium oceny
ChEn_1A_C08b_W01
The student has knowledge in the development of modeling and calculations within the scope o fchemical engineering and technology		2,0
3,0The student mastered basic knowledge of the development of modeling and calculations of chemical engineering and technology in 60%.
3,5
4,0
4,5
5,0

Kryterium oceny - umiejętności

Efekt kształceniaOcenaKryterium oceny
ChEn_1A_C08b_U01
The student is able, based on the knowledge acquired in the field of the subject, to propose his own model for chemical engineering and technology processes.		2,0
3,0The student is partially (in 60%) able to propose models for chemical engineering and technology processes
3,5
4,0
4,5
5,0

Kryterium oceny - inne kompetencje społeczne i personalne

Efekt kształceniaOcenaKryterium oceny
ChEn_1A_C08b_K01
Student is able to think and acti in a creative, innovative and entrepreneurial way.		2,0
3,0Student performs tasks with the help of a teacher.
3,5
4,0
4,5
5,0

Literatura podstawowa

  1. J.Czermiński, A.Iwasiewicz, Z.Paszek, A.Sikorski, Statistical Methods in Applied Chemistry, Elsevier, Amsterdam- Oxford-New York, 1990
  2. Nalimov N.V, Chernova N.A., Statistical methods for design of extremal experiments, 1978
  3. N.R. Draper, H. Smith, Applied Regression Analysis, Wiley, New York, 1998

Treści programowe - laboratoria

KODTreść programowaGodziny
T-L-1Structure of the statistical program. Building data sets. Rules for creating variable names. Types of variables10
T-L-2Typing regression equations into data sets. Estimation of parameters in linear regression equations of various types for one variable. Parameter estimation for multi-variable regression equations. Selection of regression equation with statistically significant parameters - stepwise regression method.10
T-L-3Process modeling - flowsheeting. Work with the ChemCad program on the example of a selected technological processes.25
45

Treści programowe - wykłady

KODTreść programowaGodziny
T-W-1Introduction. Types of models. Preparation of data for modeling. Extreme planning.5
T-W-2Applying regression equations. Linear equations. The choice of the equation. Statistical estimation of parameter confidence intervals. Equations for many variables. The choice of the form of the equation and the number of variables. Discussing the procedure of "matching and rejecting" by stepwise regression. Nonlinear equations. Methods of estimating the parameters of the equation. Marquardt method.7
T-W-3Physicochemical modeling. Models of a tubular reactor. Types of models. One-dimensional model with assumption of plug flow. One-dimensional model with addition longitudinal dispersion. Two-dimensional model with radial effects. Methods of solving modeling equations. Heterogeneous models. The applicability of various types of models to real systems.7
T-W-4Process modeling - flowsheeting. Overview of the ChemCad program on the example of a selected technological process.11
30

Formy aktywności - laboratoria

KODForma aktywnościGodziny
A-L-1participation in laboratories45
A-L-2individual lerning20
A-L-3studing of literature12
A-L-4Consultation5
A-L-5written test8
90
(*) 1 punkt ECTS, odpowiada około 30 godzinom aktywności studenta

Formy aktywności - wykłady

KODForma aktywnościGodziny
A-W-1Participation in lectures30
A-W-2Studying of literature10
A-W-3Preparing to examination at home20
60
(*) 1 punkt ECTS, odpowiada około 30 godzinom aktywności studenta
PoleKODZnaczenie kodu
Zamierzone efekty kształceniaChEn_1A_C08b_W01The student has knowledge in the development of modeling and calculations within the scope o fchemical engineering and technology
Odniesienie do efektów kształcenia dla kierunku studiówChEn_1A_W07Has systematic, theory-based general knowledge within the scope of chemical engineering and technology.
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.
ChEn_1A_W08Has systematic, theory-based knowledge of the key issues in chemical engineering and technology connected with the unit operations and processes.
Cel przedmiotuC-1The aim of the course is to obtain knowledge by the student in the field of modeling of technological processes in the chemical industry
Treści programoweT-W-4Process modeling - flowsheeting. Overview of the ChemCad program on the example of a selected technological process.
T-W-3Physicochemical modeling. Models of a tubular reactor. Types of models. One-dimensional model with assumption of plug flow. One-dimensional model with addition longitudinal dispersion. Two-dimensional model with radial effects. Methods of solving modeling equations. Heterogeneous models. The applicability of various types of models to real systems.
T-W-1Introduction. Types of models. Preparation of data for modeling. Extreme planning.
T-W-2Applying regression equations. Linear equations. The choice of the equation. Statistical estimation of parameter confidence intervals. Equations for many variables. The choice of the form of the equation and the number of variables. Discussing the procedure of "matching and rejecting" by stepwise regression. Nonlinear equations. Methods of estimating the parameters of the equation. Marquardt method.
Metody nauczaniaM-1Lecture supported by a multimedia presentation
Sposób ocenyS-3Ocena podsumowująca: test of knowledge
Kryteria ocenyOcenaKryterium oceny
2,0
3,0The student mastered basic knowledge of the development of modeling and calculations of chemical engineering and technology in 60%.
3,5
4,0
4,5
5,0
PoleKODZnaczenie kodu
Zamierzone efekty kształceniaChEn_1A_C08b_U01The student is able, based on the knowledge acquired in the field of the subject, to propose his own model for chemical engineering and technology processes.
Odniesienie do efektów kształcenia dla kierunku studiówChEn_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_U07Is able to use computer programs supporting the accomplishment of basic engineering tasks.
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_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_U05Has the ability to learn, e.g. to raise professional competences.
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-1The aim of the course is to obtain knowledge by the student in the field of modeling of technological processes in the chemical industry
Treści programoweT-L-1Structure of the statistical program. Building data sets. Rules for creating variable names. Types of variables
T-L-2Typing regression equations into data sets. Estimation of parameters in linear regression equations of various types for one variable. Parameter estimation for multi-variable regression equations. Selection of regression equation with statistically significant parameters - stepwise regression method.
T-L-3Process modeling - flowsheeting. Work with the ChemCad program on the example of a selected technological processes.
Metody nauczaniaM-2Laboratory exercises using a computer
Sposób ocenyS-2Ocena formująca: Evaluation of quality and completeness of performed tasks using a computer
Kryteria ocenyOcenaKryterium oceny
2,0
3,0The student is partially (in 60%) able to propose models for chemical engineering and technology processes
3,5
4,0
4,5
5,0
PoleKODZnaczenie kodu
Zamierzone efekty kształceniaChEn_1A_C08b_K01Student is able to think and acti in a creative, innovative and entrepreneurial way.
Odniesienie do efektów kształcenia dla kierunku studiówChEn_1A_K05Is able to manage his/her own professional development, taking decisions and solving problems, including interpersonal ones connected with job performance.
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_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_K01Understands the need of learning and raising professional and personal competences, motivating other colleagues.
Cel przedmiotuC-3The aim of a goal is to acquire the development of thinking and acting in a creative, innovative and entrepreneurial way.
Treści programoweT-L-2Typing regression equations into data sets. Estimation of parameters in linear regression equations of various types for one variable. Parameter estimation for multi-variable regression equations. Selection of regression equation with statistically significant parameters - stepwise regression method.
T-L-3Process modeling - flowsheeting. Work with the ChemCad program on the example of a selected technological processes.
T-L-1Structure of the statistical program. Building data sets. Rules for creating variable names. Types of variables
Metody nauczaniaM-2Laboratory exercises using a computer
Sposób ocenyS-1Ocena formująca: Control of the progress of tasks
Kryteria ocenyOcenaKryterium oceny
2,0
3,0Student performs tasks with the help of a teacher.
3,5
4,0
4,5
5,0