Cycle of education: 2022/2023
The name of the faculty organization unit: The faculty Chemistry
The name of the field of study: Chemical Technology
The area of study: technical sciences
The profile of studing:
The level of study: second degree study
Type of study: full time
discipline specialities : Technology of medicinal products, Chemical analysis in industry and environment , Organic and polymer technology, Polymer materials engineering, Product and ecological process engineering
The degree after graduating from university: Master of Science (MSc)
The name of the module department : Department of Chemical Engineering and Process Control
The code of the module: 15628
The module status: mandatory for the speciality Product and ecological process engineering
The position in the studies teaching programme: sem: 2 / W30 P30 / 4 ECTS / Z
The language of the lecture: Polish
The name of the coordinator: Grzegorz Poplewski, PhD, Eng.
The main aim of study: The student who completed the module is aware of the importance of process safety, can define and describe it mathematically, as well as design an apparatus or process in such a way that it is safe in accordance with the adopted standards. Additionally, the student knows the basics of mathematical optimization and knows how to apply them to formulate and solve a problem not only in the field of process safety.
The general information about the module: The module is implemented in the second semester of the second cycle of studies. It includes 30 hours of lecture and 30 hours of project. The module ends with a credit. The course presents information in the field of optimization, process safety, methods of its evaluation and methods of mathematical description necessary to design optimal apparatus and industrial processes.
Teaching materials: Książki "Analiza ryzyka w przemyśle chemicznym, podręcznik dla studentów", "Optymalizacja w inżynierii procesowej" oraz "Optimization of chemical processes" są dostępne u prowadzącego przedmiot.
1 | Piotr Tomasz Mitkowski | Analiza ryzyka w przemyśle chemicznym, podręcznik dla studentów | Wydawnictwo Politechniki Poznańskiej, ISBN: 978‐83‐7775‐202‐9. | 2012 |
2 | Aleksander Pabiś | Bezpieczeństwo procesowe cz.1. Bezpieczeństwo chemiczne | Wydawnictwo Politechniki Krakowskiej. | 2018 |
3 | J. Jeżowski, A. Jeżowska | Wprowadzenie do optymalizacji matematycznej w inżynierii chemicznej i procesowej | Oficyna Wydawnicza Politechniki Rzeszowskiej. | 2011 |
4 | J. Jeżowski, A. Jeżowska | Optymalizacja procesów i aparatów. Wybrane problemy z zakresu inżynierii chemicznej i procesowej | Oficyna Wydawnicza Politechniki Rzeszowskiej. | 2011 |
5 | R. Krupiczka, H. Merta | Optymalizacja Procesowa | Wydawnictwo Politechniki Śląskiej, Gliwice . | 1998 |
1 | Piotr Tomasz Mitkowski | Analiza ryzyka w przemyśle chemicznym, podręcznik dla studentów | Wydawnictwo Politechniki Poznańskiej, ISBN: 978‐83‐7775‐202‐9. | 2012 |
2 | T.F. Edgar, D.M. Himmelblau, L. Lasdon | Optimization of chemical processes | McGraw-Hill. | 2001 |
1 | J. Jeżowski, A. Jeżowska | Optymalizacja systemów procesowych | Oficyna Wydawnicza Politechniki Rzeszowskiej. | 2011 |
Formal requirements: Promotion to the second semester of second-cycle studies
Basic requirements in category knowledge: knowledge of: chemical engineering processes, mechanical processes and apparatus, concepts and applications of the derivative of a function
Basic requirements in category skills: basic computer skills, ability to use MS Excel
Basic requirements in category social competences: ability to solve problems independently and in team
MEK | The student who completed the module | Types of classes / teaching methods leading to achieving a given outcome of teaching | Methods of verifying every mentioned outcome of teaching | Relationships with KEK | Relationships with PRK |
---|---|---|---|---|---|
01 | The student knows the basic concepts and methods of analysis in the field of process safety. | lecture | final written test |
K_W05+ K_U09++ K_K01+ |
P7S_KK P7S_UO P7S_UW P7S_WG |
02 | The student is able to analyze the problem and find a potential cause of failure. | problem lecture, didactic discussion, implementation of the assigned task | project report |
K_U09++ K_K01+ |
P7S_KK P7S_UO P7S_UW |
03 | Student is able to describe the problem and dangers related to failure in a quantitative way. | lecture, problem lecture, team project | project presentation |
K_W02+ K_U09+ |
P7S_UO P7S_UW P7S_WG |
04 | The student is able to assess the risk and consequences of failure of various types. | lecture, problem lecture, team project | final written test, project report |
K_W05+ K_W12+ K_K01+ |
P7S_KK P7S_WG |
05 | The student knows the basic concepts of mathematical optimization. | lecture | written examination |
K_W02+++ K_W12++ K_K01+ |
P7S_KK P7S_WG |
06 | The student is able to understand the problem, find data and constraints and choose the right method of its solution. | problem laboratory, individual or team project | report on the design, performance monitoring, oral speech |
K_W02+ K_U09+++ |
P7S_UO P7S_UW P7S_WG |
07 | The student is able to formulate an optimization problem in a mathematical form, enter it into a computer program and solve it. | problem laboratory | observation of performance |
K_W02++ K_U07+++ |
P7S_UW P7S_WG |
Attention: Depending on the epidemic situation, verification of the achieved learning outcomes specified in the study program, in particular credits and examinations at the end of specific classes, can be implemented remotely (real-time meetings).
Sem. | TK | The content | realized in | MEK |
---|---|---|---|---|
2 | TK01 | W01, W02, P01-P24 | MEK05 MEK07 | |
2 | TK02 | W03-W06, P03-P10 | MEK06 MEK07 | |
2 | TK03 | W04, W05, P01-P04 | MEK05 MEK06 MEK07 | |
2 | TK04 | W05, W06, P03-P08 | MEK05 MEK07 | |
2 | TK05 | W07, W08 | MEK07 | |
2 | TK06 | W03, W09-W12, P04, P10-P14 | MEK05 MEK06 | |
2 | TK07 | W04, W13, P01-P08 | MEK05 MEK06 MEK07 | |
2 | TK08 | W05, W13-W15, P05, P10-P16 | MEK05 MEK07 | |
2 | TK09 | W09-W11 | MEK05 MEK07 | |
2 | TK10 | W01-W28, P01-P24 | MEK06 MEK07 | |
2 | TK11 | W16-W18 | MEK01 | |
2 | TK12 | W19-W20 | MEK03 MEK04 | |
2 | TK13 | W21-W24, P09-P18 | MEK03 | |
2 | TK14 | W24-W27, P19-P22 | MEK01 MEK03 MEK04 | |
2 | TK15 | W27-W30,P23-P24 | MEK02 MEK04 | |
2 | TK16 | P25-P30 | MEK03 MEK04 MEK06 MEK07 |
The type of classes | The work before classes | The participation in classes | The work after classes |
---|---|---|---|
Lecture (sem. 2) | The preparation for a test:
10.00 hours/sem. |
contact hours:
30.00 hours/sem. |
complementing/reading through notes:
4.00 hours/sem. Studying the recommended bibliography: 4.00 hours/sem. |
Project/Seminar (sem. 2) | The preparation for projects/seminars:
2.00 hours/sem. Others: 2.00 hours/sem. |
contact hours:
30.00 hours/sem.. |
Doing the project/report/ Keeping records:
7.00 hours/sem. The preparation for the presentation: 2.00 hours/sem. Others: 3.00 hours/sem. |
Advice (sem. 2) | The preparation for Advice:
1.00 hours/sem. |
The participation in Advice:
2.00 hours/sem. |
|
Credit (sem. 2) | The preparation for a Credit:
5.00 hours/sem. |
The written credit:
1.00 hours/sem. |
The type of classes | The way of giving the final grade |
---|---|
Lecture | Written test - OW |
Project/Seminar | Project problem formulation and analysis, solving it and presenting the results in the form of a report and oral description - OP |
The final grade | Final mark (FM): FM = 0.4*w*OW+0.6*w*OP w - a factor related to the term credit or examination, w = 1,0 the first term,w = 0,9 the second term, w = 0,8 a third term. While rounding average, the following rules are apply: to 3,30 – dst (3,0); 3,31 - 3,75 – +dst (3,5); 3,76 - 4,25 – db (4,0); 4,26 - 4,70 – +db (4,5); from 4,71 – bdb (5,0). |
Required during the exam/when receiving the credit
(-)
Realized during classes/laboratories/projects
(-)
Others
(-)
Can a student use any teaching aids during the exam/when receiving the credit : no
1 | D. Foo; G. Poplewski | An extended corner point method for the synthesis of flexible water network | 2021 |