Research seminar "Computational Biology and Bioinformatics"

General data

Course ID:	1000-1S11BOB
Erasmus code / ISCED:	11.954 The subject classification code consists of three to five digits, where the first three represent the classification of the discipline according to the Discipline code list applicable to the Socrates/Erasmus program, the fourth (usually 0) - possible further specification of discipline information, the fifth - the degree of subject determined based on the year of study for which the subject is intended. / (0619) Information and Communication Technologies (ICTs), not elsewhere classified The ISCED (International Standard Classification of Education) code has been designed by UNESCO.
Course title:	Research seminar "Computational Biology and Bioinformatics"
Name in Polish:	Seminarium badawcze "Biologia obliczeniowa i bioinformatyka"
Organizational unit:	Faculty of Mathematics, Informatics, and Mechanics
Course groups:
Course homepage:	http://bioputer.mimuw.edu.pl/seminars/bob/
ECTS credit allocation (and other scores):	(not available) 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:	English
Short description:	This seminar is devoted to current research problems of Computational Biology.
Full description:	The seminar is devoted to current problems of Computational Biology. Currently the scope of interest of the seminar consists of: comparative genomics, proteomics, molecular evolution, gene regulation networks, signal transduction networks, networks of protein-protein interactions. In addition to presentation of own results (PhD students and faculty), we also plan presentations/discussions of relevant recent publications.
Learning outcomes:	(in Polish) zna ograniczenia własnej wiedzy i rozumie potrzebę dalszego kształcenia (K_K01) rozumie i docenia znaczenie uczciwości intelektualnej w działaniach własnych i innych osób; postępuje etycznie (K_K03) potrafi samodzielnie wyszukiwać informacje w literaturze, także w językach obcych (K_K04) ma świadomość odpowiedzialności za podejmowane inicjatywy badań, eksperymentów lub obserwacji; rozumie społeczne aspekty praktycznego stosowania zdobytej wiedzy i umiejętności oraz związaną z tym odpowiedzialność (K_K05) potrafi przygotować (także w języku angielskim) opracowanie naukowe z wybranej dziedziny informatyki (K_U13)
Assessment methods and assessment criteria:	Taking part in research activities of the computational biology group at MIM UW, attendance and giving a talk.

This course is not currently offered.

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Copyright by University of Warsaw.