The aim of studying and bibliography

The main aim of study: After completing the course, the student can formulate an optimization model in the field of production processes as well as technological systems. He can solve the optimization model and interpret the correctness of the obtained results.

The general information about the module: The module is implemented in the second semester. It includes 15 hours of lecture and 15 hours of laboratory. The module ends with a credit.

Bibliography required to complete the module

Bibliography used during lectures

1	J. Jeżowski, A. Jeżowska	Optymalizacja systemów procesowych	Oficyna Wydawnicza Politechniki Rzeszowskiej.	2011
2	J. Jeżowski, A. Jeżowska	Wprowadzenie do optymalizacji matematycznej w inżynierii chemicznej i procesowej	Oficyna Wydawnicza Politechniki Rzeszowskiej.	2011
3	J. Jeżowski, A. Jeżowska	Optymalizacja procesów i aparatów. Wybrane problemy z zakresu inżynierii chemicznej i procesowej	Oficyna Wydawnicza Politechniki Rzeszowskiej.	2011
4	R. Krupiczka, H. Merta	Optymalizacja Procesowa	Wydawnictwo Politechniki Śląskiej, Gliwice .	1998

Bibliography used during classes/laboratories/others

1

J. Jeżowski, A. Jeżowska

Optymalizacja systemów procesowych

Oficyna Wydawnicza Politechniki Rzeszowskiej.

2011

Bibliography to self-study

1	J. Jeżowski	Projektowanie podsystemów odzysku ciepła w warunkach niepewnych danych	Oficyna Wydawnicza Politechniki Rzeszowskiej.	1995
2	T.F. Edgar, D.M. Himmelblau, L. Lasdon	Optimization of chemical processes	McGraw-Hill.	2001

Basic requirements in category knowledge/skills/social competences

Formal requirements: registration for a given semester

Basic requirements in category knowledge: mathematics - the concept of a derivative, solving a system of equations, knowledge of chemical engineering processes

Basic requirements in category skills: basic computer skills, use of MS Excel, the ability to analyze complex problems

Basic requirements in category social competences: ability to solve problems in a group

Module outcomes

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 understands the need to optimize technological processes and systems, knows the basic concepts and mechanisms related to optimization.	lecture	written test	K_W06++ K_K02+	P7S_KO P7S_WG
02	The student is able to formulate an optimization problem in a mathematical notation.	problem laboratory	observation of the solution method	K_U03+++ K_U04+++ K_U05+++ K_U07++ K_K02+++	P7S_KO P7S_UW
03	The student is able to solve the problem of technological system optimization and interpret the obtained result.	problem laboratory, individual project, team project	project report, project presentation	K_U03+++ K_U04+++ K_K02+++ K_K03+++	P7S_KO P7S_KR P7S_UW

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).

The syllabus of the module

Sem.	TK	The content	realized in	MEK
2	TK01	Basic concepts of mathematical optimization	W01-W02, L01	MEK01 MEK02
2	TK02	Mathematical optimization methods - application, advantages and disadvantages	W02-W04, L01-L09	MEK01 MEK03
2	TK03	Optimality criteria	W03, L01-L09	MEK01 MEK02
2	TK04	Structure of chemical technology process models	W04-W06, L03-L05	MEK02 MEK03
2	TK05	Models of technological systems - structure and methods of solution	W07-W08, L06-L09	MEK01 MEK02 MEK03

The student's effort

The type of classes	The work before classes	The participation in classes	The work after classes
Lecture (sem. 2)	The preparation for a test: 7.00 hours/sem.	contact hours: 9.00 hours/sem.	complementing/reading through notes: 3.00 hours/sem. Studying the recommended bibliography: 2.00 hours/sem.
Laboratory (sem. 2)	The preparation for a Laboratory: 3.00 hours/sem. The preparation for a test: 2.00 hours/sem. Others: 8.00 hours/sem.	contact hours: 9.00 hours/sem.	Finishing/Making the report: 1.00 hours/sem. Others: 7.00 hours/sem.
Advice (sem. 2)
Credit (sem. 2)

The way of giving the component module grades and the final grade

The type of classes	The way of giving the final grade
Lecture	Written test - OW
Laboratory	Project and defense assessment - OL
The final grade	Final mark (FM): FM =0,4*w*OW+ w*0,6*OL 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: 3,00 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).

Sample problems

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

The contents of the module are associated with the research profile: yes

1

D. Foo; G. Poplewski

An extended corner point method for the synthesis of flexible water network

2021