The aim of studying and bibliography

The main aim of study: Acquisition of the ability to use a computer to perform tasks related to field of studies.

The general information about the module: The student receives the knowledge on the computer system, computer programming tools, the development of the calculation algorithm and the implementation of the procedures.

Teaching materials: Materiały dydaktyczne opublikowane na stronach portalu www.e-chemia.pl oraz e-learning.prz.edu.pl

Bibliography required to complete the module

Bibliography used during classes/laboratories/others

1

B. Dębska, G. Fic

Technologie informacyjne

Oficyna wydawnicza Politechniki Rzeszowskie, Rzeszów.

2011

Bibliography to self-study

1	D. Mendrala	Windows 7 PL	Wyd. Helion, Gliwice.	2010
2	S. Sagman	Po prostu Office XP	Wyd. Helion, Gliwice.	2001
3	W. Ufnalski, K. Mądry	Excel dla chemików	WNT, Warszawa.	2000
4	K. Krysiak	Sieci komputerowe - kompendium	Wyd. Helion, Gliwice.	2003
5	J. Barta, R. Markiewicz	Główne problemy prawa komputerowego	WNT, Warszawa .	1993
6	E. Slavicek	Technika obliczeniowa dla chemików	WNT, Warszawa.	1991
7	Siddhartha Rao	C++ dla każdego	Helion.	2014
8	Alex Allain	C++ : przewodnik dla początkujących	Helion.	2014

Basic requirements in category knowledge/skills/social competences

Formal requirements: none

Basic requirements in category knowledge: Knowing the definition of the basic concepts of computer science.

Basic requirements in category skills: The ability to use a computer to the extent required by high schools.

Basic requirements in category social competences: Ability to work individually and in a team of 2-3 persons.

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 acquired basic knowledge that allows the student to choose the right tools to solve problems in the field of bioeconomy.	Laboratory	test
02	has acquired knowledge on the basic methods, techniques and tools used in solving the basic tasks associated with bioeconomy	laboratory	test
03	has the ability to use modern communication techniques by selected tools and the Internet.	laboratory, e-learning	test
04	has acquired the ability to use computer programs supporting work in chemical technology, biotechnology and bioeconomy.	laboratory	observation of the task performance
05	has an acquired habit of systematic self-education to overcome the innovation gap.	laboratory at which the student solves the problems., e-learning	observation of the task performance
06	has the ability to build calculation algorithms and their computer implementation.	laboratory, e-learning	test, project presentation
07	has the ability to use the Office programs: MS Word, MS Excel, MS PowerPoint.	laboratory, e-learning	test

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	The Windows operating system. Searching for information on the Internet. Internet-based education.	L01	MEK01 MEK04 MEK05
2	TK02	Microsoft Office package: Word, Excel, PowerPoint. Development of laboratory data. Preparing of presentation.	L02-L03	MEK01 MEK02 MEK07
2	TK03	Chemical structure editors.	L04	MEK01 MEK02
2	TK04	-	L05	MEK03
2	TK05	Getting to know the skeletal program. Preparation of the project, the development of the algorithm, implementation of procedures, running and testing program.Development of project documentation. Acceptation of the student’s project.	L07-L10	MEK06

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: 9.00 hours/sem.	complementing/reading through notes: 5.00 hours/sem. Studying the recommended bibliography: 10.00 hours/sem.
Laboratory (sem. 2)	The preparation for a Laboratory: 5.00 hours/sem. The preparation for a test: 15.00 hours/sem.	contact hours: 18.00 hours/sem.	Finishing/Making the report: 10.00 hours/sem.
Advice (sem. 2)
Credit (sem. 2)	The preparation for a Credit: 10.00 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
Laboratory	Computer lab: credit based on the evaluation of completed tasks – OL
The final grade	Final evaluation of the module is 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	K. Butt; M. Garczyńska; E. Hajduk; M. Jaromin; J. Kostecka; A. Mazur-Pączka; G. Pączka	Effects of Energy Crop Monocultures and Sewage Sludge Fertiliser on Soils and Earthworm Community Attributes	2023
2	L. Dobrowolski; K. Hęclik; M. Jaromin; I. Zarzyka	A Practical Test of Distance Learning During the COVID-19 Lockdown	2023
3	J. Buczkowicz; T. Drzazga; G. Fic; M. Jaromin; P. Krajewski; P. Matysik; R. Mazur; P. Milczarski; T. Sikora; M. Szeliga; D. Tyrka; M. Tyrka; E. Witkowski	Selekcja genomowa pszenicy ozimej	2021
4	K. Buut; M. Garczyńska; M. Jaromin; J. Kostecka; A. Mazur-Pączka; G. Pączka; A. Podolak	Community structure of Lumbricidae in beech woodland of the Bieszczady National Park, Southeast Poland	2021
5	A. Bocian; J. Buczkowicz; K. Hus; M. Jaromin; J. Legath; D. Łysiak; V. Petrilla; M. Petrillova; S. Sławek	Comparison of Methods for Measuring Protein Concentration in Venom Samples	2020
6	M. Jaromin; Ł. Opaliński	Wybrane metody prognozowania tempa rozwoju dyscyplin naukowych (indeks citing half-life, metoda regresji nieliniowej, linearyzowanej i wielomianowej drugiego stopnia)	2020
7	M. Jaromin; Ł. Opaliński	Wybrane metody prognozowania tempa rozwoju dyscyplin naukowych (metoda regresji wielomianowej trzeciego stopnia, metoda autoregresji oraz wygładzania wykładniczego)	2020
8	A. Bocian; J. Buczkowicz; K. Hus; M. Jaromin; J. Legath	An effective method of isolating honey proteins	2019
9	B. Dębska; L. Dobrowolski; M. Inger; M. Jaromin; M. Wilk	Komputerowo-wspomagane obliczanie bilansu masowego i cieplnego instalacji chemicznej	2019