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 | Paulina Pianko-Oprych <Paulina.Pianko@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
Wymagania wstępne
| KOD | Wymaganie wstępne |
|---|---|
| W-1 | Mathematics |
| W-2 | Physics |
| W-3 | Thermodynamics |
Cele przedmiotu
| KOD | Cel modułu/przedmiotu |
|---|---|
| C-1 | This 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
| KOD | Treść programowa | Godziny |
|---|---|---|
| laboratoria | ||
| T-L-1 | MATLAB Basics (AT, AB, WK, ZK) | 3 |
| T-L-2 | Curve-Fitting (AT, AB, WK, ZK) | 3 |
| T-L-3 | Numerical Integration (AT, AB, WK, ZK) | 3 |
| T-L-4 | A System of Algebraic Equations (AT, AB, WK, ZK) | 3 |
| T-L-5 | Solving Differential Equations (AT, AB, PPO, SA, WK, ZK) | 6 |
| T-L-6 | Solving selected problems from chemical engineering in Matlab (AT, AB, PPO, SA, WK, ZK) | 9 |
| T-L-7 | Introducing Aspen Plus (PPO, SA) | 3 |
| T-L-8 | Aspen Plus Flowsheet Features (PPO, SA) | 6 |
| T-L-9 | Simulation of selected problems from chemical engineering in Aspen Plus (PPO, SA) | 9 |
| 45 | ||
| wykłady | ||
| T-W-1 | Formulation of physicochemical problems (AT, AB, WK) | 3 |
| T-W-2 | Classification of mathematical models (AT, AB, WK) | 3 |
| T-W-3 | Reducing mathematical models (AT, AB, WK) | 3 |
| T-W-4 | Error estimations (AT, AB, WK) | 3 |
| T-W-5 | Numerical methods for ordinary differential equations, ODEs (AT, AB, PPO, SA, WK) | 6 |
| T-W-6 | Methods for boundary value problems (AT, AB, PPO, SA, WK) | 3 |
| T-W-7 | Numerical methods for partial differential equations, PDEs (AT, AB, PPO, SA, WK) | 3 |
| T-W-8 | Statistical analysis of mathematical models (AT, AB, PPO, SA, WK) | 6 |
| 30 | ||
Obciążenie pracą studenta - formy aktywności
| KOD | Forma aktywności | Godziny |
|---|---|---|
| laboratoria | ||
| A-L-1 | Classroom participation | 45 |
| A-L-2 | Preparation of reports in MATLAB | 20 |
| A-L-3 | Preparation of reports in Aspen Plus | 10 |
| A-L-4 | One-on-one teaching consultations | 6 |
| A-L-5 | Literature studies | 10 |
| 91 | ||
| wykłady | ||
| A-W-1 | Lecture participation | 30 |
| A-W-2 | Individual literature studies | 20 |
| A-W-3 | One-on-one teaching consultations | 5 |
| A-W-4 | Repetition of the lecture content to the written test | 5 |
| 60 | ||
Metody nauczania / narzędzia dydaktyczne
| KOD | Metoda nauczania / narzędzie dydaktyczne |
|---|---|
| M-1 | Preparation of a multimedia for of lecture presentation |
| M-2 | Numerical analysis by solving chemical engineering problems using MATLAB. |
| M-3 | Numerical analysis by solving chemical engineering problems using Aspen TECH. |
Sposoby oceny
| KOD | Sposób oceny |
|---|---|
| S-1 | Ocena podsumowująca: Written final exam based on the lecture contents. |
| S-2 | Ocena formująca: Mid-term exam 1 - MATLAB. |
| S-3 | Ocena formująca: Mid-term exam 2 - Aspen TECH |
Zamierzone efekty uczenia się - wiedza
| Zamierzone efekty uczenia się | Odniesienie do efektów kształcenia dla kierunku studiów | Odniesienie do efektów zdefiniowanych dla obszaru kształcenia | Odniesienie do efektów uczenia się prowadzących do uzyskania tytułu zawodowego inżyniera | Cel przedmiotu | Treści programowe | Metody nauczania | Sposób 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_W06, ChEn_1A_W07, ChEn_1A_W08, ChEn_1A_W15 | — | — | C-1 | T-W-1, T-W-2, T-W-3, T-W-4, T-W-5, T-W-6, T-W-7, T-W-8 | 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 | Odniesienie do efektów uczenia się prowadzących do uzyskania tytułu zawodowego inżyniera | Cel przedmiotu | Treści programowe | Metody nauczania | Sposób 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_U01, ChEn_1A_U03, ChEn_1A_U05, ChEn_1A_U07, ChEn_1A_U08, ChEn_1A_U09, ChEn_1A_U16 | — | — | C-1 | T-L-1, T-L-2, T-L-3, T-L-4, T-L-5, T-L-6, T-L-7, T-L-8, T-L-9 | M-2, M-3 | S-2, S-3 |
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 | Odniesienie do efektów uczenia się prowadzących do uzyskania tytułu zawodowego inżyniera | Cel przedmiotu | Treści programowe | Metody nauczania | Sposób 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-1 | T-L-1, T-L-2, T-L-3, T-L-4, T-L-5, T-L-6, T-L-7, T-L-8, T-L-9 | M-2, M-3 | S-2, S-3 |
Kryterium oceny - wiedza
| Efekt uczenia się | Ocena | Kryterium 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. | 2,0 | Unacceptable understanding of course material. |
| 3,0 | Serious deficiencies in understanding the core subject material. | |
| 3,5 | Some deficiencies in understanding the subject material. | |
| 4,0 | Some deficiencies in understanding the core subject material. | |
| 4,5 | Some mild deficiencies in Mastery of subject material. | |
| 5,0 | Complete Mastery of subject material. |
Kryterium oceny - umiejętności
| Efekt uczenia się | Ocena | Kryterium 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. | 2,0 | Unacceptable understanding of course material. |
| 3,0 | Serious deficiencies in understanding the core subject material. | |
| 3,5 | Some deficiencies in understanding the subject material. | |
| 4,0 | Some deficiencies in understanding the core subject material. | |
| 4,5 | Some mild deficiencies in Mastery of subject material. | |
| 5,0 | Complete Mastery of subject material. |
Kryterium oceny - inne kompetencje społeczne i personalne
| Efekt uczenia się | Ocena | Kryterium 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. | 2,0 | Unacceptable understanding of course material. |
| 3,0 | Serious deficiencies in understanding the core subject material. | |
| 3,5 | Some deficiencies in understanding the subject material. | |
| 4,0 | Some deficiencies in understanding the core subject material. | |
| 4,5 | Some mild deficiencies in Mastery of subject material. | |
| 5,0 | Complete Mastery of subject material. |
Literatura podstawowa
- B.A. Finlayson, Introduction to chemical engineering computing, John Wiley & Sons, Inc., New Jersey, 2006
- K.I.M. Al-Malah, Aspen Plus Chemical Engineering Applications, John Wiley & Sons, Inc., New Jersey, 2017
Literatura dodatkowa
- R.G. Rice, D.D. Do, Applied mathematics and modeling for chemical engineers, John Wiley & Sons, Inc., New York, 2012
- K.I.M. Al-Malah, MATLAB Numerical Methods with Chemical Engineering Applications, McGraw-Hill Education, 2014
- Drfman K. D., Prodromos D., Numerical Methods with Chemical Engineering Applications, Cambridge University Press, 2017, 9781107135116