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Introduction to bioinformatics 2

General data

Course ID:	1000-714BI2
Erasmus code / ISCED:	11.303 Kod klasyfikacyjny przedmiotu składa się z trzech do pięciu cyfr, przy czym trzy pierwsze oznaczają klasyfikację dziedziny wg. Listy kodów dziedzin obowiązującej w programie Socrates/Erasmus, czwarta (dotąd na ogół 0) – ewentualne uszczegółowienie informacji o dyscyplinie, piąta – stopień zaawansowania przedmiotu ustalony na podstawie roku studiów, dla którego przedmiot jest przeznaczony. / (0612) Database and network design and administration The ISCED (International Standard Classification of Education) code has been designed by UNESCO.
Course title:	Introduction to bioinformatics 2
Name in Polish:	Wstęp do bioinformatyki 2
Organizational unit:	Faculty of Mathematics, Informatics, and Mechanics
Course groups:	Obligatory courses for 2nd year Bioinformatics
ECTS credit allocation (and other scores):	4.50 Basic information on ECTS credits allocation principles: the annual hourly workload of the student’s work required to achieve the expected learning outcomes for a given stage is 1500-1800h, corresponding to 60 ECTS; the student’s weekly hourly workload is 45 h; 1 ECTS point corresponds to 25-30 hours of student work needed to achieve the assumed learning outcomes; weekly student workload necessary to achieve the assumed learning outcomes allows to obtain 1.5 ECTS; work required to pass the course, which has been assigned 3 ECTS, constitutes 10% of the semester student load. view allocation of credits
Language:	Polish
Type of course:	obligatory courses
Short description:	The lecture and the accompanying computer lab are intended for students of the second year of the macro-course "Bioinformatics and Systems Biology" and for the third year of "Molecular Design and Bioinformatics". They provide the basis for the application of computer science and computational science to the analysis of genes, genomes and proteins.
Full description:	The lecture and the accompanying laboratory provide the basis for the application of computer science and computational science to the analysis of genes, genomes and proteins as also to drug design and systems biology. The framework program is as follows: 1. Structures of biopolymers, and molecular graphics tools. 2. Simulation methods (MM, MC, MD, BD, etc) 3. Protein folding (as process) 4. Modeling of protein structures 5. Protein-protein interactions and interactions … 6. Basics of drug design 7. Omics and data analysis from experiments 8. Literature mining 9. Systems biology (idea) 10. Image information analysis
Bibliography:	Bioinformatics and Functional Genomics, Jonathan Pevsner, John Wiley & Sons Inc, 2015, (ISBN: 9781118581780) Introduction to Bioinformatics, Lesk Arthur, Oxford University Press, 2019, (ISBN: 978-0198794141) Understanding Bioinformatics, Zvelebil, Marketa J.; Baum, Jeremy O., Taylor & Francis Inc, 2007 (ISBN ISBN: 9780815340249)
Learning outcomes:	Advanced understanding and application of different bioinformatics methods and tools available as standalone programs suits or as a web services.
Assessment methods and assessment criteria:	Completion of the course: Lab: Project execution and presentation of the project results (10-15 min.) Test assessing and revising basic knowledge related to proteins sequence and structures Attendance on laboratories Lecture: Exam (test) evaluating theoretical knowledge (Lecture) and practical skills (Lab).

Classes in period "Summer semester 2023/24" (in progress)

Time span:	2024-02-19 - 2024-06-16	Selected timetable range: weekly course term Navigate to timetable MO TU W LAB LAB TH FR
Type of class:	Lab, 60 hours more information
Coordinators:	Norbert Odolczyk
Group instructors:	Norbert Odolczyk
Students list:	(inaccessible to you)
Examination:	Examination

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