The aim of studying and bibliography

The main aim of study: Preparing students to independently planning and conducting experimental work and the elaboration of experimental results in a form suitable for publication.

The general information about the module: The student gains the skills and competence to independently plan and carry out the experimental work and the elaboration of experimental results in a form suitable for publication.

Teaching materials: Materiały dydaktyczne opublikowane na stronach portalu www.e-chemia.pl

Bibliography required to complete the module

Bibliography used during lectures

1

B. Dębska

Konspekty do wykładów opublikowane na stronie Zakładu Informatyki Chemicznej

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

2011

Bibliography used during classes/laboratories/others

1

B. Dębska, B. Guzowska-Świder

Instrukcje laboratoryjne opublikowane na stronie Zakładu Informatyki Chemicznej

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

2011

Bibliography to self-study

1	W. Pytkowski	Organizacja badań i prac naukowych	PWN, Warszawa .	1985
2	Z. Hippe	Zastosowanie metod sztucznej inteligencji w chemii	PWN, Warszawa.	1993
3	C. Radhakrishna Rao	Statystka i prawda	PWN, Warszawa .	1994
4	J. Jakubowski, J. Wątroba	Zastosowanie metod statystycznych w badaniach naukowych	StatSoft, Kraków .	2000
5	A. Pyrża	Poradnik wynalazcy	Urząd Patentowy RP, Warszawa.	2008

Basic requirements in category knowledge/skills/social competences

Formal requirements: Credit required courses: scientific and technologiical information, computer science, statistics and results elaboration.

Basic requirements in category knowledge: Knowledge about the literature databases and statistical processing of the experimental results.

Basic requirements in category skills: Ability: searching literature databases, posing and verifying statistical hypotheses, the use of STATISTICA program.

Basic requirements in category social competences: The ability to work individually and in a team.

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	has advanced knowledge of information technology allowing him to use computer techniques and software packages in biotechnology practice	lecture, laboratory, e-learning	test	K_W02+++	P7S_WG
02	has the practical knowledge in modeling, planning, design, optimization, and characterization of biotechnological processes	lecture, laboratory, e-learning	practice exam	K_W04+++	P7S_WG
03	has the ability to independent preparation of scientific study, taking into account the literature review, the definition of the subject, the research methodology and discussion of the obtained results	laboratory at which the student solves the problems	project report	K_U03+++ K_U08++	P7S_UO P7S_UW
04	can use basic information and communication technologies and computer programs supporting experimental research methodology in the field of biotechnology	laboratory	observation of the task performance	K_U07+++	P7S_UW
05	is able to plan, carry out and evaluate the experiment, interpret results and draw conclusions	laboratory at which the student solves the problems	project report	K_U03++ K_U08+++	P7S_UO 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
1	TK01	Subject of study, research problems and their formulation. Stages of the research process. Review of the subject literature. Arrangement of gathered information. Defining the problems insufficiently known.Research hypotheses. Design of experiments.	W01	MEK01
1	TK02	Optimization of experimental techniques. Development and validation of experimental data. Preparing the data for publication.	W02	MEK02
1	TK03	Review of the literature. Analytical databases, library resources, patent databases. Finding connected problems and their dependence, defining the problems insufficiently known.	L01-L02	MEK01
1	TK04	-	L03-L04	MEK04
1	TK05	Registration and verification of the measurement results. Graphical presentation and interpretation of the experiment results.	L05	MEK05
1	TK06	Designing and carrying out the processes aimed at obtaining products with the desired characteristics (properties) – classification and forecasting systems, artificial neural networks.	L06-L08	MEK01
1	TK07	Optimization of experimental techniques. Development and validation of experimental data.	L09	MEK02
1	TK08	Elaboration of experimental results in the form suitable for publication.	L10	MEK03 MEK05

The student's effort

The type of classes	The work before classes	The participation in classes	The work after classes
Lecture (sem. 1)	The preparation for a test: 5.00 hours/sem.	contact hours: 5.00 hours/sem.
Laboratory (sem. 1)	The preparation for a Laboratory: 2.00 hours/sem. The preparation for a test: 2.00 hours/sem. Others: 10.00 hours/sem.	contact hours: 30.00 hours/sem.
Advice (sem. 1)		The participation in Advice: 2.00 hours/sem.
Credit (sem. 1)	The preparation for a Credit: 3.00 hours/sem.	The written credit: 1.00 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: credit course based on the evaluation of the test – OW
Laboratory	Computer lab: credit based on the evaluation of completed tasks
The final grade	Final evaluation of the module 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	K. Hęclik; M. Jacquet; J. Kargul; S. Kozdra; P. Michałowski; A. Wójcik	Insight into structure-property relationship of organometallic terpyridine wires: Combined theoretical and experimental study	2022
6	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
7	K. Hęclik; K. Hęclik; I. Zarzyka	Metal-Humus Acid Nanoparticles - Synthesis, Characterization and Molecular Modeling	2021
8	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
9	A. Białkowska; L. Dobrowolski; L. Wianowski; I. Zarzyka	Physical blowing agents for polyurethanes	2020
10	A. Czerniecka-Kubicka; L. Dobrowolski; K. Hęclik; I. Zarzyka	Biodegradowalne kompozyty polimerowe na osnowie P3HB	2020
11	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
12	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
13	B. Dębska; L. Dobrowolski; M. Inger; M. Jaromin; M. Wilk	Komputerowo-wspomagane obliczanie bilansu masowego i cieplnego instalacji chemicznej	2019
14	K. Hęclik; A. Klasek; S. Pawlędzio; A. Szyszkowska; D. Trzybiński; K. Woźniak; I. Zarzyka	Unprecedented reaction course of 1-phenyl-2H,6H-imidazo[1,5-c]quinazoline-3,5-dione with an excess of ethylene oxide	2019
15	K. Hęclik; A. Szyszkowska; I. Zarzyka	Spatial packing of diols and esters with imidazoquinazoline ring - quantum-mechanical modelling	2019