The aim of studying and bibliography

The main aim of study: To learn the algorithms for processing of experimental data that are written in discrete form

The general information about the module: Presentation of selected numerical algorithms in the form of functions and procedures for data processing. Practical use of developed algorithms in programs that solving selected engineering tasks.

Teaching materials: Materiały dydaktyczne dostępne on-line w portalu ZICh PRz oraz www.e-chemia.pl

Bibliography required to complete the module

Bibliography used during classes/laboratories/others

1

B. Dębska

Instrukcje do zajęć laboratoryjnych i materiały pomocnicze opublikowane na stronie ZICh

http://www.prz.rzeszow.pl/chemia/zich/index.php/do-pobrania.

2011

Bibliography to self-study

1

E. Slavicek

Technika obliczeniowa dla chemików

WNT, Warszawa.

1991

Basic requirements in category knowledge/skills/social competences

Formal requirements: Completed subjects: Mathematics, Information Technology

Basic requirements in category knowledge: Knowledge of concepts: continuous and discrete signal, data table, discretization methods, marked integral, methods of solving algebraic equations

Basic requirements in category skills: Understands way of performing numerical operations: data transformation, creating lookup tables, differentiation and integration of discrete functions

Basic requirements in category social competences: Is capable of perform a task individually and in a group of 2-3 person

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	Is able to using basic computer programs that are aiding for numerical algorithms for solving calculation tasks in the field of bioprocess engineering	lecture, laboratory, e-learning	colloquium, observation of enforcement, completion of practical work	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).

The syllabus of the module

Sem.	TK	The content	realized in	MEK
2	TK01	Analog and discrete data. Methods and devices for signal discretization.	W01	MEK01
2	TK02	Methods of smoothing, creating lookup table, differentiation and integration function for discrete data.	W02-W05	MEK01
2	TK03	Methods of approximate solution of algebraic and transcendental equations.	W06-W07	MEK01
2	TK04	Preparing lookup tables and smoothing of functions.	L01	MEK01
2	TK05	Numerical procedures for calculating marked integrals.	L02	MEK01
2	TK06	Searching for characteristic points (max, min, inflection points) for experimental curves.	L03	MEK01
2	TK07	Algorithms for determining the roots of equations - by methods: bisection, incisal and tangent.	L04-L05	MEK01

The student's effort

The type of classes	The work before classes	The participation in classes	The work after classes
Lecture (sem. 2)		contact hours: 15.00 hours/sem.	complementing/reading through notes: 2.00 hours/sem. Studying the recommended bibliography: 2.00 hours/sem.
Laboratory (sem. 2)	The preparation for a Laboratory: 5.00 hours/sem. The preparation for a test: 5.00 hours/sem.	contact hours: 15.00 hours/sem.	Finishing/Making the report: 5.00 hours/sem.
Advice (sem. 2)		The participation in Advice: 2.00 hours/sem.
Credit (sem. 2)	The preparation for a Credit: 5.00 hours/sem.	The written credit: 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	Lecture: completion of the course on the basis of the colloquium - OW
Laboratory	Computer laboratory: completion on the basis of evaluation from performed tasks - OL
The final grade	The final evaluation of the subject is calculated by the following formula: OK = 50% OW + 50% OL

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	A. Czerniecka-Kubicka; L. Dobrowolski; K. Hęclik; I. Zarzyka	Kompozyt polimerowy oraz sposób wytwarzania kompozytu polimerowego	2024
2	L. Dobrowolski; K. Hęclik; M. Jaromin; I. Zarzyka	A Practical Test of Distance Learning During the COVID-19 Lockdown	2023
3	M. Bakar; A. Białkowska; A. Czerniecka-Kubicka; L. Dobrowolski; K. Hęclik; B. Krzykowska; M. Longosz; I. Zarzyka	Polymer Biocompositions and Nanobiocomposites Based on P3HB with Polyurethane and Montmorillonite	2023
4	M. Chmiela; A. Czerniecka-Kubicka; L. Dobrowolski; W. Gonciarz; K. Hęclik; M. Longosz; A. Szyszkowska; D. Trzybiński; K. Woźniak; A. Wróbel; I. Zarzyka	Molecular Modeling of 3-chloro-3-phenylquinoline-2,4-dione, Crystal Structure and Cytotoxic Activity for developments in a potential new drug	2023
5	M. Bakar; A. Białkowska; A. Czerniecka-Kubicka; L. Dobrowolski; K. Hęclik; B. Krzykowska; I. Zarzyka	Biobased poly(3-hydroxybutyrate acid) composites with addition of aliphatic polyurethane based on polypropylene glycols	2022
6	M. Bakar; A. Białkowska; A. Czerniecka-Kubicka; L. Dobrowolski; K. Hęclik; K. Leś; M. Pyda; M. Walczak; I. Zarzyka	Thermally stable biopolymer composites based on poly(3-hydroxybutyrate) modified with linear aliphatic polyurethanes – preparation and properties	2021
7	A. Białkowska; L. Dobrowolski; L. Wianowski; I. Zarzyka	Physical blowing agents for polyurethanes	2020
8	A. Czerniecka-Kubicka; L. Dobrowolski; K. Hęclik; I. Zarzyka	Biodegradowalne kompozyty polimerowe na osnowie P3HB	2020
9	R. Bartosik; L. Dobrowolski; K. Hęclik; A. Klasek; A. Lycka; I. Zarzyka	New mono- and diesters with imidazoquinolinone ring- synthesis, structure characterization and molecular modeling	2020
10	B. Dębska; B. Dębska; L. Lichołai	Evaluation of the Utility of Using Classification Algorithms when Designing New Polymer Composites	2019
11	B. Dębska; J. Duliban; K. Hęclik; J. Lubczak	Analysis of the Possibility and Conditions of Application of Methylene Blue to Determine the Activity of Radicals in Model System with Preaccelerated Cross-Linking of Polyester Resins	2019
12	B. Dębska; L. Dobrowolski; M. Inger; M. Jaromin; M. Wilk	Komputerowo-wspomagane obliczanie bilansu masowego i cieplnego instalacji chemicznej	2019