The aim of studying and bibliography

The main aim of study: To obtain knowledge and skills in basic methods and bioinformatics tools

The general information about the module: The module realized in the form lectures (15 h) and laboratory (15 h) exercises.

Teaching materials: B. Dębska, G. Fic, Bioinformatyka materiały na portalu e-chemia.pl

Bibliography required to complete the module

Bibliography used during lectures

1

B. Dębska, G. Fic

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, G.Fic

Instrukcje do ćwiczeń opublikowane na stronie Zakładu Informatyki Chemicznej

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

2011

Bibliography to self-study

1	A. D. Baxevanis, B. F. F. Ouellette	Bioinformatyka . Podręcznik do analizy genów i białek	PWN, Warszawa .	2004
2	P. G. Higgs, T. K. Attwood	Bioinformatyka i ewolucja molekularna	PWN Warszawa.	2008
3	J.Xiong	Podstawy bioinformatyki	Wydawnictwa Uniwersytetu Warszawskiego.	2009

Basic requirements in category knowledge/skills/social competences

Formal requirements:

Basic requirements in category knowledge: basic knowledge of organic chemistry and biochemistry.

Basic requirements in category skills: fluent computer skills and knowledge of the Windows operating system

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	Students can search for and retrieve information from bioinformatics databases	lecture, laboratory	written exam, test, observation of the task performance	K_W14+ K_U01++	P6S_UW P6S_WG
02	Student can visualize 3D models of protein structures.	lecture, laboratory, laboratory at which the student solves the problems.	test, observation of the task performance, report on the project	K_W03+ K_W14+ K_U08+ K_U09+	P6S_UO P6S_UW P6S_WG
03	The student is able to apply the basic methods of artificial intelligence to solve problems of molecular biology and biotechnology	lecture, laboratory	written exam, test, observation of the task performance, written report,	K_W01+ K_W14+ K_U08+ K_U10++	P6S_UW P6S_WG
04	The students can use the e-learning courses in the process of self-education.	lecture, laboratory	observation of the task performance	K_U02+ K_U06+++ K_K01++	P6S_KK P6S_KR P6S_UK P6S_UU

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
3	TK01	Introduction to bioinformatics. Basic concepts. E-learning in biotechnology.	W01	MEK04
3	TK02	Data mining methods in bioinformatics	W02	MEK03
3	TK03	Sequence alignment	W03	MEK01
3	TK04	Computer representation and visualisation of biopolymer structures	W04-W05	MEK02
3	TK05	Bioinformatic databases	W06-W07	MEK01
3	TK06	PCA and cluster analysis methods in bioinformatics	L01-L02	MEK03
3	TK07	Integrated sequence search system	L03	MEK01
3	TK08	3D visualisation and analysis of protein in PDB database	L04-L05	MEK01 MEK02

The student's effort

The type of classes	The work before classes	The participation in classes	The work after classes
Lecture (sem. 3)		contact hours: 9.00 hours/sem.	complementing/reading through notes: 5.00 hours/sem. Studying the recommended bibliography: 5.00 hours/sem.
Laboratory (sem. 3)	The preparation for a Laboratory: 3.00 hours/sem. The preparation for a test: 5.00 hours/sem.	contact hours: 9.00 hours/sem.	Finishing/Making the report: 5.00 hours/sem.
Advice (sem. 3)		The participation in Advice: 2.00 hours/sem.
Credit (sem. 3)	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: credit course based on the evaluation of the test
Laboratory	Computer laboratory: credit based on the evaluation completed tasks - L
The final grade	Final grade (K): K= 0.5w L +0.5wW, L- positive evaluation of the lab; W - positive evaluation of the lecture, w - factor related to the time of credit, 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	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
2	B. Dębska; B. Dębska; L. Lichołai	Evaluation of the Utility of Using Classification Algorithms when Designing New Polymer Composites	2019
3	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
4	B. Dębska; L. Dobrowolski; M. Inger; M. Jaromin; M. Wilk	Komputerowo-wspomagane obliczanie bilansu masowego i cieplnego instalacji chemicznej	2019