The aim of studying and bibliography

The main aim of study: Student obtains knowledge on the analysis of dynamic models and its applicability for modern processes

The general information about the module: The module is implemented in the first semester. It includes 15 hours of lectures and 30 hours of classes and 15 hours of designing

Bibliography required to complete the module

Bibliography used during lectures

1	R. Koch, A. Kozioł	Dyfuzyjno-cieplny rozdział substancji	WNT.	1994
2	T. Hobler.	Ruch ciepła i wymienniki	WNT.	1979
3	T. Hobler.	Dyfuzyjny ruch masy i absorbery	WNT.	1962
4	A. Czemplik	Modele dynamiki układów fizycznych dla inżynierów : zasady i przykłady konstrukcji modeli dynamiczny	WNT.	2008

Bibliography used during classes/laboratories/others

1	T. Hobler	Ruch ciepła i wymienniki	WNT.	1979
2	T. Hobler	Dyfuzyjny ruch masy i absorbery	WNT.	1962
3	M. Szukiewicz	Program Maple w obliczeniach inżynierskich i naukowych	Fosze.	2013

Bibliography to self-study

1

J. Malczewski, M.Piekarski

Modele procesów transportu masy, pędu i energii

Wydaw.Nauk.PWN.

1992

Basic requirements in category knowledge/skills/social competences

Formal requirements: Registration for the corresponding semester

Basic requirements in category knowledge: Calculus

Basic requirements in category skills: Student understands the principles of balancing processes,and has the basics skills of the Maple and Excel

Basic requirements in category social competences: no requirements

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	knows the basic rules for creating dynamic models of basic apparatus	lecture	written test	K_W05++ K_U16++	P7S_UW P7S_WG
02	have knowledge about dynamic models applications	lecture	written test	K_W05++ K_U16++	P7S_UW P7S_WG
03	is able to build and solve common models using computational algebra programs	classes, designing	written test,observation of performance	K_W05++ K_U16++	P7S_UW P7S_WG
04	knows the limitations in building, solving and verifying models	lecture, laboratory	written test	K_W05++ K_U16++	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).

The syllabus of the module

Sem.	TK	The content	realized in	MEK
2	TK01	application of of dynamic models, principles of dynamic models building, dynamic models vs stationary	W01-W03,C01-C03	MEK01 MEK02
2	TK02	Dynamic models of basic processes	W04-W08,C04-C18,P01-10	MEK03 MEK04
2	TK03	Dynamic models of more complex processes	W09-W15, C19-C30, P11-15	MEK03 MEK04

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: 2.00 hours/sem.	contact hours: 15.00 hours/sem.	complementing/reading through notes: 3.00 hours/sem. Studying the recommended bibliography: 8.00 hours/sem.
Class (sem. 2)	The preparation for a Class: 12.00 hours/sem. The preparation for a test: 3.00 hours/sem.	contact hours: 30.00 hours/sem.
Project/Seminar (sem. 2)	The preparation for projects/seminars: 7.00 hours/sem.	contact hours: 15.00 hours/sem..	Doing the project/report/ Keeping records: 4.00 hours/sem. The preparation for the presentation: 1.00 hours/sem.
Advice (sem. 2)		The participation in Advice: 3.00 hours/sem.
Exam (sem. 2)	The preparation for an Exam: 6.00 hours/sem.	The written exam: 2.00 hours/sem.

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 47,0-60,0% =3,0 60,1-70,0% = 3,5 70,1-80,0% = 4,0 81,1-90,0% = 4,5 90,1-100% = 5,0
Class
Project/Seminar
The final grade	final mark (K): K=0,5 w C + 0,3 w P + 0,2 w Z; Z - mark for lecture C - mark for classes P - mark for design w - weigthing factor: w = 1,0 first term, w = 0,9 second term, w = 0,8 third term.

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	E. Chmiel-Szukiewicz; A. Szałek; M. Szukiewicz	Graph Theory in Chemical Kinetics Practice Problems	2024
2	E. Chmiel-Szukiewicz; M. Szukiewicz	Generalized Linear Driving Force Formulas for Diffusion and Reaction in Porous Catalysts	2024
3	E. Chmiel-Szukiewicz; M. Szukiewicz; L. Zaręba	Application of the kinetic polynomial idea to describecatalytic hydrogenation of propene	2024
4	K. Kaczmarski; M. Szukiewicz	Analytical and numerical solutions of linear and nonlinear chromatography column models	2024
5	A. Szałek; M. Szukiewicz	Application of transfer function for quick estimation of gas flow parameters—A useful model‐based approach to enhancing measurements	2021
6	E. Chmiel-Szukiewicz; A. Szałek; M. Szukiewicz	Kinetic investigations of heterogeneous reactor processes – Optimization of experiments	2021
7	K. Kaczmarski; M. Szukiewicz	An efficient and robust method for numerical analysis of a dead zone in catalyst particle and packed bed reactor	2021
8	K. Kaczmarski; M. Szukiewicz	Modeling of a Real-Life Industrial Reactor for Hydrogenation of Benzene Process	2021
9	M. Szukiewicz	Differential quadrature method for some diffusion-reaction problems	2020
10	M. Szukiewicz	Study of reaction - diffusion problem: modeling, exact analytical solution, and experimental verification	2020
11	E. Chmiel-Szukiewicz; K. Kaczmarski; A. Szałek; M. Szukiewicz	Dead zone for hydrogenation of propylene reaction carried out on commercial catalyst pellets	2019
12	M. Chutkowski; G. Król; M. Szukiewicz	Formation of dead zone in catalytic particles in catalysis and biocatalysis - New alternative method of determination	2019
13	M. Szukiewicz; M. Wójcik	A simple method of determination of the degree of gas mixing by numerical Laplace inversion and Maple	2019