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Computer-aided research

Some basic information about the module

Cycle of education: 2022/2023

The name of the faculty organization unit: The faculty Chemistry

The name of the field of study: Biotechnology

The area of study: technical sciences

The profile of studing:

The level of study: first degree study

Type of study: past time

discipline specialities : Applied biochemistry, Purification and analysis of biotechnological products

The degree after graduating from university: Bachelor of Science (BSc)

The name of the module department : Department of Biochemistry and Bioinformatics

The code of the module: 10960

The module status: mandatory for the speciality Purification and analysis of biotechnological products

The position in the studies teaching programme: sem: 5 / L9 / 1 ECTS / Z

The language of the lecture: Polish

The name of the coordinator 1: Barbara Dębska, DSc, PhD, Eng.

The name of the coordinator 2: Grzegorz Fic, PhD, Eng.

The aim of studying and bibliography

The main aim of study: Gain knowledge and skills in computer-aided research in biotechnology

The general information about the module:

Teaching materials: B.Dębska, G.Fic Instrukcje do ćwiczeń laboratoryjnych, Portal ZICh PRz

Bibliography required to complete the module
Bibliography used during classes/laboratories/others
1 B. Dębska, G. Fic Bioinformatyka. Materiały dydaktyczne do wykładów, dostęp on-line http://www.prz.rzeszow.pl/chemia/zich. 2014
2 G. Fic Komputerowe wspomaganie badań. Materiały dydaktyczne i instrukcje do ćwiczeń, dostęp on-line http://www.prz.rzeszow.pl/chemia/zich. 2014
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: Registration for the semester

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

Basic requirements in category skills: computer skills - Windows

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 is able to efficiently search for and retrieve information from chemical and biological databases. laboratory, e-learning test, written report K_W03++
K_U01++
K_U08+++
P6S_UW
P6S_WG
02 is able to predict biodegradation pathways for chemical compounds laboratory, e-learning test, written report K_W03+++
K_U06++
K_U08++
P6S_UU
P6S_UW
P6S_WG
03 is able to predict biological and chemical properties of chemical compounds and proteins laboratory, e-learning test, written report K_W03++
K_U08++
P6S_UW
P6S_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
5 TK01 Strategies of searching chemical structures and metabolic databases L01 MEK01
5 TK02 Computer database of protein families L05 MEK01
5 TK03 CAOS - computer prediction of biodegradation pathways for chemical compounds and generation of combinatorial libraries L02 MEK02
5 TK04 Computer design of new drugs L04 MEK03
5 TK05 Chemical similarity L03 MEK03

The student's effort

The type of classes The work before classes The participation in classes The work after classes
Laboratory (sem. 5) The preparation for a Laboratory: 5.00 hours/sem.
The preparation for a test: 5.00 hours/sem.
contact hours: 9.00 hours/sem.
Finishing/Making the report: 2.00 hours/sem.
Advice (sem. 5)
Credit (sem. 5) The preparation for a Credit: 5.00 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
Laboratory
The final grade Final grade (K): K= w L, L- positive evaluation of the lab; 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