Item card
Bioinformatics
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 Computer Methods Chemistry
The code of the module:
10900
The module status:
mandatory for teaching programme Applied biochemistry, Purification and analysis of biotechnological products
The position in the studies teaching programme:
sem: 3 / W9 L9 / 2 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:
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
| 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 |
| 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 |
| 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 |
|---|---|---|---|---|---|
| MEK01 | 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 |
| MEK02 | 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 |
| MEK03 | 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 |
| MEK04 | 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 |
The syllabus of the module
| Sem. | TK | The content | realized in | MEK |
|---|---|---|---|---|
| 3 | TK01 | W01 | MEK04 | |
| 3 | TK02 | W02 | MEK03 | |
| 3 | TK03 | W03 | MEK01 | |
| 3 | TK04 | W04-W05 | MEK02 | |
| 3 | TK05 | W06-W07 | MEK01 | |
| 3 | TK06 | L01-L02 | MEK03 | |
| 3 | TK07 | L03 | MEK01 | |
| 3 | TK08 | 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 |